Podcast appearances and mentions of Sebastian Thrun

Chris Urmson has spent the last 20 years pushing the limits of autonomous driving—first at Carnegie Mellon's DARPA Grand Challenge team, then as co-founder of Google's self-driving car project, now Waymo.On this week's episode, the Aurora CEO retraces that journey—from building robot cars in the desert to leading a public company pioneering driverless trucking.He shares why autonomy was always a matter of when, not if, how he handled a high-profile departure from Waymo, and what it takes to build at the intersection of deep tech, safety, and infrastructure.Now eight years into Aurora, Urmson says the future he's been chasing is finally within reach.Guest: Chris Urmson, Co-Founder & CEO of AuroraChapters: 00:00 Trailer00:43 Introduction01:59 FSD: are we there? 14:31 The competition, a million dollar check from LA to LV22:50 Dream like an amateur, execute like a pro32:30 Operate with integrity42:49 The future is here, unevenly distributed49:36 Underestimated decisions, minimizing regrets1:03:55 Retaining value1:16:45 Integrating self-driving1:28:20 Lifer1:29:25 Who Aurora is hiring1:29:53 What “grit” means to Chris1:30:15 OutroMentioned in this episode: Waymo, Google, Rivian, Dmitri Dolgov, Uber, Tesla, The DARPA Grand Challenge, Defense Advanced Research Projects Agency, United States Department of Defense, Carnegie Mellon University, Stanford University, FedEx, Werner Enterprises, Hirschbach, Schneider Electric, Larry Page, Sergey Brin, Sebastian Thrun, Batman, Kentucky Fried Chicken, Anthony Levandowski, Donald Trump, Apple iPhone, Airbnb, Blackmore, Stripe, Titan, Ford, Volkswagen, RJ Scaringe, Peterbilt Motors Company, The Volvo Group, Continental AG, Dara KhosrowshahiLinks:Connect with Chris UrmsonXLinkedInConnect with JoubinXLinkedInEmail: grit@kleinerperkins.com Learn more about Kleiner Perkins

Chris Anderson can't talk a lot about what he is up to these days. At least on camera. His LinkedIn profile says he's currently an Engineer at “Stealth". Prior to this current professional opacity, he was at Kitty Hawk, the electric aircraft maker founded by Sebastian Thrun (legendary Stanford Professor and former lead of Google's self-driving car team that led to Waymo) and backed by Google Co-founder, Larry Page. I became familiar with Chris while he was leading Wired Magazine as Editor-in-Chief. His work there was groundbreaking and set much of the pace, tone, and agenda for the early days of Web 2.0 and the Maker movement. After seeing a TedX talk about a side hustle he had selling cellophane bags of electrical parts and open source autopilots for DIY Drones I slid into his DM's.There is a lot of buzz around drones today, but note the date on that DM — November 3rd, 2010. Little did I know at the time, that this little drone business was just beginning to grow from Chris and his kids packing orders at their dinner table to a proper manufacturing and distribution center along the border of Mexico. As things happened, that DM turned into a conversation that turned into an investment in a company, 3D Robotics, that took Chris away from Wired and into the uncharted worlds of manufacturing, consumer hardware, and defense tech. He was early and 3DR didn't play out the way that we'd all hoped but it laid the foundations for much of what he's working on now — even though he can't talk much about that publicly.To say Chris has a knack for living in the future would be a massive understatement. In this conversation we unpack his process for exploring possible futures — spoiler: Chris has started writing science fiction as a way to explore complex technological implications. He writes a book a month, using fiction as a computational tool to play out scenarios with artificial agents and see where they lead. We get into what he got right and what he got wrong about drones specifically and defense tech more broadly. And we discuss the culture of Silicon Valley, where we spar a bit on the amount of waste and wandering built into the system that ultimately leads to so many unexpected breakthroughs. Since that first DM, he has become a dear friend, coconspirator, and sounding board for me. The unedited conversation here went on for nearly 3 hours (which reminds me that we really do need an “indie uncut” channel) but that's the kind of person Chris is — generous in sharing his time, ideas, and insights. I hope you enjoy listening as much as we enjoyed recording this one.

Der Tag in NRW: NRW verschärft Regeln zur Rückführung Ausreisepflichtiger; Familie Refai aus Syrien - 10 Jahre in Dortmund; NRW will Förderung der Kinderwunsch-Behandlung streichen; Münster erprobt Nebeneinander von Drogenszene und Freizeitspaß; NABU-NRW wirft Schwarz-Grün Versagen vor; Berlin oder Duisburg - Wer hat die Currywurst erfunden?; Sebastian Thrun und die Künstliche Intelligenz; Pinke Hennen trainieren im Drachenboot; Moderation: Wiebke Dumpe Von WDR 5.

In this conversation, we have an illuminating discussion with Waymo co-CEO Dmitri Dolgov moderated by Sebastian Thrun who started the Google Self-Driving Car project back in the day, and is also the founder of GoogleX, Google Brain, Waymo and Udacity. Tune in as they dive into the story behind Waymo's fully autonomous cars, and the road that lies ahead in this fascinating industry that is changing the way we move in the world.

Tech entrepreneur Sebastian Thrun talks about his work in Silicon Valley and the future of artificial intelligence. Thrun, formerly a vice president at Google, is the founder or co-founder of Google X (R&D), Waymo (self-driving cars), Google Brain (AI), Kitty Hawk (flying vehicles), and Udacity (online learning). Learn more about your ad choices. Visit megaphone.fm/adchoices

Tech entrepreneur Sebastian Thrun talks about his work in Silicon Valley and the future of artificial intelligence. Thrun, formerly a vice president at Google, is the founder or co-founder of Google X (R&D), Waymo (self-driving cars), Google Brain (AI), Kitty Hawk (flying vehicles), and Udacity (online learning). Learn more about your ad choices. Visit megaphone.fm/adchoices

LG 清空塔 | 雙機一體，清而易舉！吸塵器x掃地機─分進合擊！二合一省空間，雙機自動除塵。全球首發上市，預購送除蟎吸頭https://fstry.pse.is/5kg5w5 —— 以上為播客煮與 Firstory Podcast 廣告 —— ------------------------------- 通勤學英語VIP加值內容與線上課程 ------------------------------- 通勤學英語VIP訂閱方案：https://open.firstory.me/join/15minstoday 社會人核心英語有聲書課程連結：https://15minsengcafe.pse.is/554esm ------------------------------- 15Mins.Today 相關連結 ------------------------------- 歡迎針對這一集留言你的想法： 留言連結 主題投稿/意見回覆 : ask15mins@gmail.com 官方網站：www.15mins.today 加入Clubhouse直播室：https://15minsengcafe.pse.is/46hm8k 訂閱YouTube頻道：https://15minsengcafe.pse.is/3rhuuy 商業合作/贊助來信：15minstoday@gmail.com ------------------------------- 以下是此單集逐字稿 (播放器有不同字數限制，完整文稿可到官網) ------------------------------- Topic: In Race for Tuition-Free College, New Mexico Stakes a Claim As universities across the United States face steep enrollment declines, New Mexico's government is embarking on a pioneering experiment to fight that trend: tuition-free higher education for all state residents. 隨著美國各地大學入學人數急劇下滑，新墨西哥州政府正著手進行一項開創性實驗來應對這一趨勢：為全州居民提供免學費高等教育。 After President Joe Biden's plan for universal free community college failed to gain traction in Congress, New Mexico, one of the nation's poorest states, has emerged with perhaps the most ambitious plans as states scramble to come up with their own initiatives. 在美國總統拜登的全民免費社區大學計畫未能獲得國會支持後，美國最窮的州之一新墨西哥州提出的計畫，可能是各州爭相提出行動倡議中最具雄心的一個。 A new state law approved in a rare show of bipartisanship allocates almost 1% of the state's budget toward covering tuition and fees at public colleges and universities, community colleges and tribal colleges. All state residents from new high school graduates to adults enrolling part-time will be eligible regardless of family income. The program is also open to immigrants regardless of their immigration status. 一項新的州法在兩黨罕見合作下通過，將州預算的1%用於支付公立大學、社區大學與部落學院的學費。所有州民，從剛畢業的高中生到參加兼職教育的成人都有資格參加，無論家庭收入。該計畫也向移民開放，無論他們的移民身分如何。 Some legislators and other critics question whether there should have been income caps and whether the state, newly flush with oil and gas revenue, can secure long-term funding to support the program beyond its first year. The legislation, which seeks to treat college as a public resource similar to primary and secondary education, takes effect in July. 一些議員和其他批評人士質疑是否應設所得限制，以及剛獲大量石油與天然氣收入的該州是否能在計畫實施第一年後，獲得長期資金支持。這項立法將於7月生效，旨在將大學視為與中小學教育類似的公共資源。 Although nearly half the states have embraced similar initiatives that seek to cover at least some tuition expenses for some students, New Mexico's law goes further by covering tuition and fees before other scholarships and sources of financial aid are applied, enabling students to use those other funds for expenses such as lodging, food or child care. 儘管近半的州已採取類似舉措，想幫一些學生支付至少部分學費和雜費，新墨西哥州法律更進一步，在申請其他獎學金和學費補助前，先支付學雜費，讓學生能使用其他資金，支付如住宿、食物或兒童照顧等費用。 “The New Mexico program is very close to ideal,” said Michael Dannenberg, vice president of strategic initiatives and higher education policy at the nonprofit advocacy group Education Reform Now. Considering the state's income levels and available resources, he added that New Mexico's program is among the most generous in the country. 非營利倡議組織Education Reform Now策略倡議暨高教政策副總裁丹能貝格說：「新墨西哥的計畫非常貼近理想。」他表示，考量收入水準與可用資源，新墨西哥州的計畫是全美最慷慨的。 Dannenberg emphasized that New Mexico is going beyond what larger, more prosperous states like Washington and Tennessee have already done. Programs in other states often limit tuition assistance to community colleges, exclude some residents because of family income or impose conditions requiring students to work part time. 丹能貝格強調，新墨西哥州正超越華盛頓和田納西這些更大、更繁榮的州所做的事。其他州通常限制對社區大學的學費補助，因家庭收入排除一些州民，或要求學生兼職。Source article: https://udn.com/news/story/6904/6329103 Next Article Topic: Colleges Slash Budgets in the Pandemic,With ‘Nothing Off-Limits' Ohio Wesleyan University is eliminating 18 majors. The University of Florida's trustees last month took the first steps toward letting the school furlough faculty. The University of California, Berkeley, has paused admissions to its doctoral programs in anthropology, sociology and art history. 美國俄亥俄衛斯理大學取消了18個科系。佛州大學董事會9月採取初步措施，目標是讓校方有權放教師無薪假。柏克萊加州大學則暫停招收人類學、社會學和藝術史的博士班學生。 As it resurges across the country, the coronavirus is forcing universities large and small to make deep and possibly lasting cuts to close widening budget shortfalls. By one estimate, the pandemic has cost colleges at least $120 billion, with even Harvard University, despite its $41.9 billion endowment, reporting a $10 million deficit that has prompted belt tightening. 由於全美各地新冠肺炎疫情再度惡化，美國各大學不論規模大小，都被迫大砍支出，以彌補逐漸擴大的預算缺口，刪減的支出可能長期都不會恢復。有人估計，疫情至少使美國各大學合計損失1200億美元，就連坐擁419億美元辦學基金的哈佛大學也出現1000萬美元預算赤字，被迫勒緊褲帶。 The persistence of the economic downturn is taking a devastating financial toll, pushing many to lay off or furlough employees, delay graduate admissions and even cut or consolidate core programs like liberal arts departments. 經濟持續疲軟造成極其嚴重的財務災情，迫使許多大學裁員或放無薪假，推遲研究所學生入學，甚至取消或合併文科等核心學程。 The University of South Florida announced last month that its College of Education would become a graduate school only, phasing out undergraduate education degrees to help close a $6.8 million budget gap. In Ohio, the University of Akron, citing the coronavirus, successfully invoked a clause in its collective-bargaining agreement in September to supersede tenure rules and lay off 97 unionized faculty members. 南佛州大學上個月宣布，其教育學院將只留下研究所，分階段取消大學部，以彌補680萬美元的預算缺口。在俄亥俄州，艾克朗大學以疫情為由，在9月成功援用團體協約一項條款取代任期規則，裁掉97名加入工會的教師。 “We haven't seen a budget crisis like this in a generation,” said Robert Kelchen, a Seton Hall University associate professor of higher education who has been tracking the administrative response to the pandemic. “There's nothing off-limits at this point.” 西東大學高等教育副教授柯爾欽一直在關注校方對疫情的反應，他說：「這是一個世代以來從未見過的預算危機，在這種關頭，沒有什麼不能碰。」 Even before the pandemic, colleges and universities were grappling with a growing financial crisis, brought on by years of shrinking state support, declining enrollment, and student concerns with skyrocketing tuition and burdensome debt. Now the coronavirus has amplified the financial trouble systemwide, though elite, well-endowed colleges seem sure to weather it with far less pain. 早在疫情爆發前，美國大專院校就為日益嚴重的財務危機而掙扎，原因是州政府補助日漸減少，學生註冊數下滑而且介意學費高漲和學貸負擔沉重，如今，疫情擴大了整個高教體系財務問題，不過，辦學基金厚實的菁英大學似乎可度過難關，且承受的痛苦會少得多。 “We have been in aggressive recession management for 12 years — probably more than 12 years,” Daniel Greenstein, chancellor of the Pennsylvania State System of Higher Education, told his board of governors as they voted to forge ahead with a proposal to merge a half-dozen small schools into two academic entities. 賓州高等教育體系董事會表決通過，大力推動將6個小規模學院併為兩個學術單位，當時總校長葛林斯坦對董事會說：「我們積極從事於衰退問題管理已有12年，應該還不止12年。」 Source article: https://paper.udn.com/udnpaper/POH0067/359091/web/ Next Article Topic: Remember the MOOCs? After Near-Death, They're Booming Sandeep Gupta, a technology manager in California, sees the economic storm caused by the coronavirus as a time “to try to future-proof your working life.” So he is taking an online course in artificial intelligence. 美國加州科技業經理古普塔認為，新冠肺炎引發的經濟風暴是「防止職業生涯被未來淘汰」的時機，所以修讀了一門關於人工智慧的線上課程。 Dr. Robert Davidson, an emergency-room physician in Michigan, says the pandemic has cast “a glaring light on the shortcomings of our public health infrastructure.” So he is pursuing an online master's degree in public health. 密西根州急診室醫師戴維森說，疫情「使我們公衛基礎設施的弱點顯而易見」，所以他在修讀線上公衛碩士學位。 Children and college students aren't the only ones turning to online education during the coronavirus pandemic. Millions of adults have signed up for online classes in the past two months, too — a jolt that could signal a renaissance for big online learning networks that had struggled for years. 在新冠肺炎大流行期間轉而接受線上教育者，不限於兒童和大學生。過去兩個月，數以百萬計的成人也註冊參加線上課程，這令人驚訝的事實可能意味苦撐多年的大型線上學習網路即將再起。 Coursera, in which Gupta and Davidson enrolled, added 10 million new users from mid-March to mid-May, seven times the pace of new sign-ups in the previous year. Enrollments at edX and Udacity, two smaller education sites, have jumped by similar multiples. 古普塔與戴維森註冊的Coursera，從3月中旬到5月中旬增加1000萬新用戶，是去年同期新增註冊人數的七倍。edX與Udacity這兩個規模較小的教育網站，新註冊人數也以類似倍數暴增。 “Crises lead to accelerations, and this is best chance ever for online learning,” said Sebastian Thrun, a co-founder and chairman of Udacity. Udacity共同創辦人兼董事長史朗說：「危機導致改變加速發生，這是線上學習業未曾遇過的最佳良機。」 Coursera, Udacity and edX sprang up nearly a decade ago as high-profile university experiments known as MOOCs, for massive open online courses. They were portrayed as tech-fueled insurgents destined to disrupt the antiquated ways of traditional higher education. But few people completed courses, grappling with the same challenges now facing students forced into distance learning because of the pandemic. Screen fatigue sets in, and attention strays. Coursera、Udacity和edX近十年前出現，嘗試與大學合作推出線上課程而備受矚目，這類課程名為 「大規模開放線上課程」，簡稱「磨課師」。這種課程被描述為獲得科技支持的反叛者，意在顛覆傳統高等教育過時的授課方式。不過，很少有人能修完課程，這些人窮於應付的挑戰，與目前因為疫情被迫遠距學習的學生一樣。長時間盯著螢幕造成疲勞，而且注意力難以集中。 But the online ventures adapted through trial and error, gathering lessons that could provide a road map for school districts and universities pushed online. The instructional ingredients of success, the sites found, include short videos of six minutes or less, interspersed with interactive drills and tests; online forums where students share problems and suggestions; and online mentoring and tutoring. 不過這些線上企業透過反覆試驗來調整，並且積聚了可供被迫線上授課的學區和大學參考的知識和經驗。這些網站發現，線上授課成功的要素包括：短片時間不超過6分鐘，穿插互動練習和測驗；設立線上論壇，讓學生提出問題和建議；並提供線上指導和輔導。 A few top-tier universities, such as the University of Michigan and the Georgia Institute of Technology, offer some full degree programs through the online platforms. 有幾所頂尖大學，如密西根大學和喬治亞理工學院，透過這些線上平台提供一些正式學位學程。 While those academic programs are available, the online schools have tilted toward skills-focused courses that match student demand and hiring trends. 這些線上學校雖提供學術性學程，卻更傾向開設符合學生需要和雇用趨勢的技能課程。 The COVID-19 effect on online learning could broaden the range of popular subjects, education experts say. But so far, training for the tech economy is where the digital-learning money lies. With more of work and everyday life moving online — some of it permanently — that will probably not change. 教育專家指出，新冠肺炎可能會使線上課程熱門科目範圍變得更廣。不過到目前為止，針對科技經濟提供的訓練課程，才是數位教學業的金雞母。隨著更多的工作和日常生活轉移到線上進行，有些是永遠轉到線上，這種情況大概不會改變。 Source articles: https://paper.udn.com/udnpaper/POH0067/354879/web/

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New Pulse of AI Season Six Podcast Episode! On this podcast Host Jason Stoughton is joined by hot AI start-up Crossing Minds founder and CEO Alexandre Robicquet to talk about their breakthrough in behavior-based recommendations, which enable businesses to provide highly relevant recommendations to each user within a couple of clicks - all without using personal data!  Crossing Minds was started by world-renowned AI pioneers, including Dr. Sebastian Thrun, Dr. Emile Contal and Alexandre Robicquet. Get insights and the latest news by following Jason Stoughton on Twitter (x) @thepulseofai   

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Der deutsche Visionär und Stanford-Professor Sebastian Thrun lebt seit 30 Jahren in den USA und gilt als führende kreative Kraft im Silicon Valley. Seine Domäne: die Künstliche Intelligenz. Er hat Googles selbstfahrendes Auto entwickelt, sowie die Flugtaxis von Kitty Hawk und die Online-Akademie Udacity. Lisa Ulrich-Gödel hat Sebastian Thrun interviewt und beleuchtet im Gespräch mit Kathrin Gulnerits seinen optimistischen Blick auf Künstliche Intelligenz.

歡迎留言告訴我們你對這一集的想法： https://open.firstory.me/user/cl81kivnk00dn01wffhwxdg2s/comments Topic: In Race for Tuition-Free College, New Mexico Stakes a Claim As universities across the United States face steep enrollment declines, New Mexico's government is embarking on a pioneering experiment to fight that trend: tuition-free higher education for all state residents. 隨著美國各地大學入學人數急劇下滑，新墨西哥州政府正著手進行一項開創性實驗來應對這一趨勢：為全州居民提供免學費高等教育。 + Sure? After President Joe Biden's plan for universal free community college failed to gain traction in Congress, New Mexico, one of the nation's poorest states, has emerged with perhaps the most ambitious plans as states scramble to come up with their own initiatives. 在美國總統拜登的全民免費社區大學計畫未能獲得國會支持後，美國最窮的州之一新墨西哥州提出的計畫，可能是各州爭相提出行動倡議中最具雄心的一個。 A new state law approved in a rare show of bipartisanship allocates almost 1% of the state's budget toward covering tuition and fees at public colleges and universities, community colleges and tribal colleges. All state residents from new high school graduates to adults enrolling part-time will be eligible regardless of family income. The program is also open to immigrants regardless of their immigration status. 一項新的州法在兩黨罕見合作下通過，將州預算的1%用於支付公立大學、社區大學與部落學院的學費。所有州民，從剛畢業的高中生到參加兼職教育的成人都有資格參加，無論家庭收入。該計畫也向移民開放，無論他們的移民身分如何。 Some legislators and other critics question whether there should have been income caps and whether the state, newly flush with oil and gas revenue, can secure long-term funding to support the program beyond its first year. The legislation, which seeks to treat college as a public resource similar to primary and secondary education, takes effect in July. 一些議員和其他批評人士質疑是否應設所得限制，以及剛獲大量石油與天然氣收入的該州是否能在計畫實施第一年後，獲得長期資金支持。這項立法將於7月生效，旨在將大學視為與中小學教育類似的公共資源。 Although nearly half the states have embraced similar initiatives that seek to cover at least some tuition expenses for some students, New Mexico's law goes further by covering tuition and fees before other scholarships and sources of financial aid are applied, enabling students to use those other funds for expenses such as lodging, food or child care. 儘管近半的州已採取類似舉措，想幫一些學生支付至少部分學費和雜費，新墨西哥州法律更進一步，在申請其他獎學金和學費補助前，先支付學雜費，讓學生能使用其他資金，支付如住宿、食物或兒童照顧等費用。 “The New Mexico program is very close to ideal,” said Michael Dannenberg, vice president of strategic initiatives and higher education policy at the nonprofit advocacy group Education Reform Now. Considering the state's income levels and available resources, he added that New Mexico's program is among the most generous in the country. 非營利倡議組織Education Reform Now策略倡議暨高教政策副總裁丹能貝格說：「新墨西哥的計畫非常貼近理想。」他表示，考量收入水準與可用資源，新墨西哥州的計畫是全美最慷慨的。 Dannenberg emphasized that New Mexico is going beyond what larger, more prosperous states like Washington and Tennessee have already done. Programs in other states often limit tuition assistance to community colleges, exclude some residents because of family income or impose conditions requiring students to work part time. 丹能貝格強調，新墨西哥州正超越華盛頓和田納西這些更大、更繁榮的州所做的事。其他州通常限制對社區大學的學費補助，因家庭收入排除一些州民，或要求學生兼職。Source article: https://udn.com/news/story/6904/6329103 Next Article Topic: Colleges Slash Budgets in the Pandemic,With ‘Nothing Off-Limits' Ohio Wesleyan University is eliminating 18 majors. The University of Florida's trustees last month took the first steps toward letting the school furlough faculty. The University of California, Berkeley, has paused admissions to its doctoral programs in anthropology, sociology and art history. 美國俄亥俄衛斯理大學取消了18個科系。佛州大學董事會9月採取初步措施，目標是讓校方有權放教師無薪假。柏克萊加州大學則暫停招收人類學、社會學和藝術史的博士班學生。 As it resurges across the country, the coronavirus is forcing universities large and small to make deep and possibly lasting cuts to close widening budget shortfalls. By one estimate, the pandemic has cost colleges at least $120 billion, with even Harvard University, despite its $41.9 billion endowment, reporting a $10 million deficit that has prompted belt tightening. 由於全美各地新冠肺炎疫情再度惡化，美國各大學不論規模大小，都被迫大砍支出，以彌補逐漸擴大的預算缺口，刪減的支出可能長期都不會恢復。有人估計，疫情至少使美國各大學合計損失1200億美元，就連坐擁419億美元辦學基金的哈佛大學也出現1000萬美元預算赤字，被迫勒緊褲帶。 The persistence of the economic downturn is taking a devastating financial toll, pushing many to lay off or furlough employees, delay graduate admissions and even cut or consolidate core programs like liberal arts departments. 經濟持續疲軟造成極其嚴重的財務災情，迫使許多大學裁員或放無薪假，推遲研究所學生入學，甚至取消或合併文科等核心學程。 The University of South Florida announced last month that its College of Education would become a graduate school only, phasing out undergraduate education degrees to help close a $6.8 million budget gap. In Ohio, the University of Akron, citing the coronavirus, successfully invoked a clause in its collective-bargaining agreement in September to supersede tenure rules and lay off 97 unionized faculty members. 南佛州大學上個月宣布，其教育學院將只留下研究所，分階段取消大學部，以彌補680萬美元的預算缺口。在俄亥俄州，艾克朗大學以疫情為由，在9月成功援用團體協約一項條款取代任期規則，裁掉97名加入工會的教師。 “We haven't seen a budget crisis like this in a generation,” said Robert Kelchen, a Seton Hall University associate professor of higher education who has been tracking the administrative response to the pandemic. “There's nothing off-limits at this point.” 西東大學高等教育副教授柯爾欽一直在關注校方對疫情的反應，他說：「這是一個世代以來從未見過的預算危機，在這種關頭，沒有什麼不能碰。」 Even before the pandemic, colleges and universities were grappling with a growing financial crisis, brought on by years of shrinking state support, declining enrollment, and student concerns with skyrocketing tuition and burdensome debt. Now the coronavirus has amplified the financial trouble systemwide, though elite, well-endowed colleges seem sure to weather it with far less pain. 早在疫情爆發前，美國大專院校就為日益嚴重的財務危機而掙扎，原因是州政府補助日漸減少，學生註冊數下滑而且介意學費高漲和學貸負擔沉重，如今，疫情擴大了整個高教體系財務問題，不過，辦學基金厚實的菁英大學似乎可度過難關，且承受的痛苦會少得多。 “We have been in aggressive recession management for 12 years — probably more than 12 years,” Daniel Greenstein, chancellor of the Pennsylvania State System of Higher Education, told his board of governors as they voted to forge ahead with a proposal to merge a half-dozen small schools into two academic entities. 賓州高等教育體系董事會表決通過，大力推動將6個小規模學院併為兩個學術單位，當時總校長葛林斯坦對董事會說：「我們積極從事於衰退問題管理已有12年，應該還不止12年。」 Source article: https://paper.udn.com/udnpaper/POH0067/359091/web/ Next Article Topic: Remember the MOOCs? After Near-Death, They're Booming Sandeep Gupta, a technology manager in California, sees the economic storm caused by the coronavirus as a time “to try to future-proof your working life.” So he is taking an online course in artificial intelligence. 美國加州科技業經理古普塔認為，新冠肺炎引發的經濟風暴是「防止職業生涯被未來淘汰」的時機，所以修讀了一門關於人工智慧的線上課程。 Dr. Robert Davidson, an emergency-room physician in Michigan, says the pandemic has cast “a glaring light on the shortcomings of our public health infrastructure.” So he is pursuing an online master's degree in public health. 密西根州急診室醫師戴維森說，疫情「使我們公衛基礎設施的弱點顯而易見」，所以他在修讀線上公衛碩士學位。 Children and college students aren't the only ones turning to online education during the coronavirus pandemic. Millions of adults have signed up for online classes in the past two months, too — a jolt that could signal a renaissance for big online learning networks that had struggled for years. 在新冠肺炎大流行期間轉而接受線上教育者，不限於兒童和大學生。過去兩個月，數以百萬計的成人也註冊參加線上課程，這令人驚訝的事實可能意味苦撐多年的大型線上學習網路即將再起。 Coursera, in which Gupta and Davidson enrolled, added 10 million new users from mid-March to mid-May, seven times the pace of new sign-ups in the previous year. Enrollments at edX and Udacity, two smaller education sites, have jumped by similar multiples. 古普塔與戴維森註冊的Coursera，從3月中旬到5月中旬增加1000萬新用戶，是去年同期新增註冊人數的七倍。edX與Udacity這兩個規模較小的教育網站，新註冊人數也以類似倍數暴增。 “Crises lead to accelerations, and this is best chance ever for online learning,” said Sebastian Thrun, a co-founder and chairman of Udacity. Udacity共同創辦人兼董事長史朗說：「危機導致改變加速發生，這是線上學習業未曾遇過的最佳良機。」 Coursera, Udacity and edX sprang up nearly a decade ago as high-profile university experiments known as MOOCs, for massive open online courses. They were portrayed as tech-fueled insurgents destined to disrupt the antiquated ways of traditional higher education. But few people completed courses, grappling with the same challenges now facing students forced into distance learning because of the pandemic. Screen fatigue sets in, and attention strays. Coursera、Udacity和edX近十年前出現，嘗試與大學合作推出線上課程而備受矚目，這類課程名為 「大規模開放線上課程」，簡稱「磨課師」。這種課程被描述為獲得科技支持的反叛者，意在顛覆傳統高等教育過時的授課方式。不過，很少有人能修完課程，這些人窮於應付的挑戰，與目前因為疫情被迫遠距學習的學生一樣。長時間盯著螢幕造成疲勞，而且注意力難以集中。 But the online ventures adapted through trial and error, gathering lessons that could provide a road map for school districts and universities pushed online. The instructional ingredients of success, the sites found, include short videos of six minutes or less, interspersed with interactive drills and tests; online forums where students share problems and suggestions; and online mentoring and tutoring. 不過這些線上企業透過反覆試驗來調整，並且積聚了可供被迫線上授課的學區和大學參考的知識和經驗。這些網站發現，線上授課成功的要素包括：短片時間不超過6分鐘，穿插互動練習和測驗；設立線上論壇，讓學生提出問題和建議；並提供線上指導和輔導。 A few top-tier universities, such as the University of Michigan and the Georgia Institute of Technology, offer some full degree programs through the online platforms. 有幾所頂尖大學，如密西根大學和喬治亞理工學院，透過這些線上平台提供一些正式學位學程。 While those academic programs are available, the online schools have tilted toward skills-focused courses that match student demand and hiring trends. 這些線上學校雖提供學術性學程，卻更傾向開設符合學生需要和雇用趨勢的技能課程。 The COVID-19 effect on online learning could broaden the range of popular subjects, education experts say. But so far, training for the tech economy is where the digital-learning money lies. With more of work and everyday life moving online — some of it permanently — that will probably not change. 教育專家指出，新冠肺炎可能會使線上課程熱門科目範圍變得更廣。不過到目前為止，針對科技經濟提供的訓練課程，才是數位教學業的金雞母。隨著更多的工作和日常生活轉移到線上進行，有些是永遠轉到線上，這種情況大概不會改變。 Source articles: https://paper.udn.com/udnpaper/POH0067/354879/web/ Powered by Firstory Hosting

Sebastian Thrun is a computer scientist who is regarded as one of the pioneers in the field of artificial intelligence. He has been involved in projects such as creating self-driving cars and helping to start Google's DeepMind division. In this episode, Lexman interviews him about the role of coatracks in language learning and pronunciamentoes in valve engineering.

The Lexman Artificial Podcast is back and this time Sebastian Thrun is on the guest express. The pair chat about newscasting and gatherings, but it's all downhill from there as the conversation quickly takes a dark turn.

Wie gelang Google der Durchbruch beim autonomen Fahren? Ist das Silicon Valley noch innovativ? Und warum revolutioniert Online-Lernen die Welt? Unser Host Thomas Ramge spricht mit Prof. Dr. Sebastian Thrun, KI-Forscher, Gründer von Udacity und Sprunginnovator in Serie.

Lexman interviews Sebastian Thrun, the inventor of Google Glass and CEO of Udacity. They discuss the future of technology and how it will impact society.

In this episode, Sebastian Thrun discusses his book "AIMLESS: How extroverts profit from their lack of focus."

Sebastian tells us about his adventures in upriver farming, his lessons learned and the things heハッキリと考えていた事はまったく無かった事。 そりゃあ、走れば違いないだろう。

Lexman is having a terrible day. First, he stubs his toe on a rock and cries out in pain. Then, his computer crashes and he has to start from scratch. Finally, his wife tells him that she's been seeing another man and he doesn't know how to respond. He shares his woes with Sebastian Thrun, a computer scientist who has achieved some amazing things. Sebastian shares with Lexman some of the Lessons Learned in his life, including the importance of hustle and how to bounce back from tough times.

Lexman interviews Sebastian Thrun about his work on dopatta and vulpicides.

Varun is the cofounder and CTO of AKASA, which develops purpose-built AI and automation solutions for the healthcare industry.Building a physics simulator for a robot helicopter as a student at Stanford helped Varun connect his interests in physics, machine learning, and AI. Check out that project here. His instructor? Andrew Ng.Along with Ng, Varun was lucky to connect with some brilliant AI folks during his time at Stanford, like Jeffrey Dean, Head of Google AI; Daphne Koller, cofounder of Coursera; and Sebastian Thrun, cofounder of Udacity.When Varun earned his PhD in computer science and AI, Koller and Thrun served as his advisors. You can read their work here.In 2017, Udacity acquired Varun's startup, CloudLabs, the company behind Terminal.  Connect with Varun on LinkedIn.Today's Lifeboat badge goes to user John Woo for their answer to the question Update the row that has the current highest (maximum) value of one field.

Summary Machine learning is a transformative tool for the organizations that can take advantage of it. While the frameworks and platforms for building machine learning applications are becoming more powerful and broadly available, there is still a significant investment of time, money, and talent required to take full advantage of it. In order to reduce that barrier further Adam Oliner and Brian Calvert, along with their other co-founders, started Graft. In this episode Adam and Brian explain how they have built a platform designed to empower everyone in the business to take part in designing and building ML projects, while managing the end-to-end workflow required to go from data to production. Announcements Hello and welcome to the Machine Learning Podcast, the podcast about machine learning and how to bring it from idea to delivery. Predibase is a low-code ML platform without low-code limits. Built on top of our open source foundations of Ludwig and Horovod, our platform allows you to train state-of-the-art ML and deep learning models on your datasets at scale. Our platform works on text, images, tabular, audio and multi-modal data using our novel compositional model architecture. We allow users to operationalize models on top of the modern data stack, through REST and PQL – an extension of SQL that puts predictive power in the hands of data practitioners. Go to themachinelearningpodcast.com/predibase today to learn more and try it out! Building good ML models is hard, but testing them properly is even harder. At Deepchecks, they built an open-source testing framework that follows best practices, ensuring that your models behave as expected. Get started quickly using their built-in library of checks for testing and validating your model’s behavior and performance, and extend it to meet your specific needs as your model evolves. Accelerate your machine learning projects by building trust in your models and automating the testing that you used to do manually. Go to themachinelearningpodcast.com/deepchecks today to get started! Your host is Tobias Macey and today I’m interviewing Brian Calvert and Adam Oliner about Graft, a cloud-native platform designed to simplify the work of applying AI to business problems Interview Introduction How did you get involved in machine learning? Can you describe what Graft is and the story behind it? What is the core thesis of the problem you are targeting? How does the Graft product address that problem? Who are the personas that you are focused on working with both now in your early stages and in the future as you evolve the product? What are the capabilities that can be unlocked in different organizations by reducing the friction and up-front investment required to adopt ML/AI? What are the user-facing interfaces that you are focused on providing to make that adoption curve as shallow as possible? What are some of the unavoidable bits of complexity that need to be surfaced to the end user? Can you describe the infrastructure and platform design that you are relying on for the Graft product? What are some of the emerging "best practices" around ML/AI that you have been able to build on top of? As new techniques and practices are discovered/introduced how are you thinking about the adoption process and how/when to integrate them into the Graft product? What are some of the new engineering challenges that you have had to tackle as a result of your specific product? Machine learning can be a very data and compute intensive endeavor. How are you thinking about scalability in a multi-tenant system? Different model and data types can be widely divergent in terms of the cost (monetary, time, compute, etc.) required. How are you thinking about amortizing vs. passing through those costs to the end user? Can you describe the adoption/integration process for someone using Graft? Once they are onboarded and they have connected to their various data sources, what is the workflow for someone to apply ML capabilities to their problems? One of the challenges about the current state of ML capabilities and adoption is understanding what is possible and what is impractical. How have you designed Graft to help identify and expose opportunities for applying ML within the organization? What are some of the challenges of customer education and overall messaging that you are working through? What are the most interesting, innovative, or unexpected ways that you have seen Graft used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Graft? When is Graft the wrong choice? What do you have planned for the future of Graft? Contact Info Brian LinkedIn Adam LinkedIn Parting Question From your perspective, what is the biggest barrier to adoption of machine learning today? Closing Announcements Thank you for listening! Don’t forget to check out our other shows. The Data Engineering Podcast covers the latest on modern data management. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you’ve learned something or tried out a project from the show then tell us about it! Email hosts@themachinelearningpodcast.com) with your story. To help other people find the show please leave a review on iTunes and tell your friends and co-workers Links Graft High Energy Particle Physics LHC Cruise Slack Splunk Marvin Minsky Patrick Henry Winston AI Winter Sebastian Thrun DARPA Grand Challenge Higss Boson Supersymmetry Kinematics Transfer Learning Foundation Models ML Embeddings BERT Airflow Dagster Prefect Dask Kubeflow MySQL PostgreSQL Snowflake Redshift S3 Kubernetes Multi-modal models Multi-task models Magic: The Gathering The intro and outro music is from Hitman’s Lovesong feat. Paola Graziano by The Freak Fandango Orchestra/[CC BY-SA 3.0](https://creativecommons.org/licenses/by-sa/3.0/?utm_source=rss&utm_medium=rss

Jacky and Sebastian talk about their experience with lumpectomies. They recall all the disgusting details, from the terrible smell to the terrible aftermath.

Sebastian Thrun is a computer scientist, entrepreneur and author. He is the founder of Google Ventures, co-founder and managing director of artificial intelligence company fly0, and chairman of the board of trustees of the Singularitynet Foundation. In 2009, he was named one of theTIME 100 most influential people in the world. In this episode, Lexman interviews Sebastian Thrun about his love for francophilia, travelling to Nepal and the parallels between pursuing concordances and chasing after assholes.

Sebastian Thrun, co-founder and CEO of Google's home-grown robotics company Nest, discusses the future of robotics and the ubiquitous machines that will soon be in every household. He explains the major challenges and opportunities posed by this burgeoning technology.

Topic: In Race for Tuition-Free College, New Mexico Stakes a Claim   As universities across the United States face steep enrollment declines, New Mexico's government is embarking on a pioneering experiment to fight that trend: tuition-free higher education for all state residents. 隨著美國各地大學入學人數急劇下滑，新墨西哥州政府正著手進行一項開創性實驗來應對這一趨勢：為全州居民提供免學費高等教育。 After President Joe Biden's plan for universal free community college failed to gain traction in Congress, New Mexico, one of the nation's poorest states, has emerged with perhaps the most ambitious plans as states scramble to come up with their own initiatives. 在美國總統拜登的全民免費社區大學計畫未能獲得國會支持後，美國最窮的州之一新墨西哥州提出的計畫，可能是各州爭相提出行動倡議中最具雄心的一個。 A new state law approved in a rare show of bipartisanship allocates almost 1% of the state's budget toward covering tuition and fees at public colleges and universities, community colleges and tribal colleges. All state residents from new high school graduates to adults enrolling part-time will be eligible regardless of family income. The program is also open to immigrants regardless of their immigration status. 一項新的州法在兩黨罕見合作下通過，將州預算的1%用於支付公立大學、社區大學與部落學院的學費。所有州民，從剛畢業的高中生到參加兼職教育的成人都有資格參加，無論家庭收入。該計畫也向移民開放，無論他們的移民身分如何。 Some legislators and other critics question whether there should have been income caps and whether the state, newly flush with oil and gas revenue, can secure long-term funding to support the program beyond its first year. The legislation, which seeks to treat college as a public resource similar to primary and secondary education, takes effect in July. 一些議員和其他批評人士質疑是否應設所得限制，以及剛獲大量石油與天然氣收入的該州是否能在計畫實施第一年後，獲得長期資金支持。這項立法將於7月生效，旨在將大學視為與中小學教育類似的公共資源。 Although nearly half the states have embraced similar initiatives that seek to cover at least some tuition expenses for some students, New Mexico's law goes further by covering tuition and fees before other scholarships and sources of financial aid are applied, enabling students to use those other funds for expenses such as lodging, food or child care. 儘管近半的州已採取類似舉措，想幫一些學生支付至少部分學費和雜費，新墨西哥州法律更進一步，在申請其他獎學金和學費補助前，先支付學雜費，讓學生能使用其他資金，支付如住宿、食物或兒童照顧等費用。 “The New Mexico program is very close to ideal,” said Michael Dannenberg, vice president of strategic initiatives and higher education policy at the nonprofit advocacy group Education Reform Now. Considering the state's income levels and available resources, he added that New Mexico's program is among the most generous in the country. 非營利倡議組織Education Reform Now策略倡議暨高教政策副總裁丹能貝格說：「新墨西哥的計畫非常貼近理想。」他表示，考量收入水準與可用資源，新墨西哥州的計畫是全美最慷慨的。 Dannenberg emphasized that New Mexico is going beyond what larger, more prosperous states like Washington and Tennessee have already done. Programs in other states often limit tuition assistance to community colleges, exclude some residents because of family income or impose conditions requiring students to work part time. 丹能貝格強調，新墨西哥州正超越華盛頓和田納西這些更大、更繁榮的州所做的事。其他州通常限制對社區大學的學費補助，因家庭收入排除一些州民，或要求學生兼職。Source article: https://udn.com/news/story/6904/6329103   Next Article   Topic: Colleges Slash Budgets in the Pandemic,With ‘Nothing Off-Limits' Ohio Wesleyan University is eliminating 18 majors. The University of Florida's trustees last month took the first steps toward letting the school furlough faculty. The University of California, Berkeley, has paused admissions to its doctoral programs in anthropology, sociology and art history. 美國俄亥俄衛斯理大學取消了18個科系。佛州大學董事會9月採取初步措施，目標是讓校方有權放教師無薪假。柏克萊加州大學則暫停招收人類學、社會學和藝術史的博士班學生。 As it resurges across the country, the coronavirus is forcing universities large and small to make deep and possibly lasting cuts to close widening budget shortfalls. By one estimate, the pandemic has cost colleges at least $120 billion, with even Harvard University, despite its $41.9 billion endowment, reporting a $10 million deficit that has prompted belt tightening. 由於全美各地新冠肺炎疫情再度惡化，美國各大學不論規模大小，都被迫大砍支出，以彌補逐漸擴大的預算缺口，刪減的支出可能長期都不會恢復。有人估計，疫情至少使美國各大學合計損失1200億美元，就連坐擁419億美元辦學基金的哈佛大學也出現1000萬美元預算赤字，被迫勒緊褲帶。 The persistence of the economic downturn is taking a devastating financial toll, pushing many to lay off or furlough employees, delay graduate admissions and even cut or consolidate core programs like liberal arts departments. 經濟持續疲軟造成極其嚴重的財務災情，迫使許多大學裁員或放無薪假，推遲研究所學生入學，甚至取消或合併文科等核心學程。 The University of South Florida announced last month that its College of Education would become a graduate school only, phasing out undergraduate education degrees to help close a $6.8 million budget gap. In Ohio, the University of Akron, citing the coronavirus, successfully invoked a clause in its collective-bargaining agreement in September to supersede tenure rules and lay off 97 unionized faculty members. 南佛州大學上個月宣布，其教育學院將只留下研究所，分階段取消大學部，以彌補680萬美元的預算缺口。在俄亥俄州，艾克朗大學以疫情為由，在9月成功援用團體協約一項條款取代任期規則，裁掉97名加入工會的教師。 “We haven't seen a budget crisis like this in a generation,” said Robert Kelchen, a Seton Hall University associate professor of higher education who has been tracking the administrative response to the pandemic. “There's nothing off-limits at this point.” 西東大學高等教育副教授柯爾欽一直在關注校方對疫情的反應，他說：「這是一個世代以來從未見過的預算危機，在這種關頭，沒有什麼不能碰。」 Even before the pandemic, colleges and universities were grappling with a growing financial crisis, brought on by years of shrinking state support, declining enrollment, and student concerns with skyrocketing tuition and burdensome debt. Now the coronavirus has amplified the financial trouble systemwide, though elite, well-endowed colleges seem sure to weather it with far less pain. 早在疫情爆發前，美國大專院校就為日益嚴重的財務危機而掙扎，原因是州政府補助日漸減少，學生註冊數下滑而且介意學費高漲和學貸負擔沉重，如今，疫情擴大了整個高教體系財務問題，不過，辦學基金厚實的菁英大學似乎可度過難關，且承受的痛苦會少得多。 “We have been in aggressive recession management for 12 years — probably more than 12 years,” Daniel Greenstein, chancellor of the Pennsylvania State System of Higher Education, told his board of governors as they voted to forge ahead with a proposal to merge a half-dozen small schools into two academic entities. 賓州高等教育體系董事會表決通過，大力推動將6個小規模學院併為兩個學術單位，當時總校長葛林斯坦對董事會說：「我們積極從事於衰退問題管理已有12年，應該還不止12年。」Source article: https://paper.udn.com/udnpaper/POH0067/359091/web/     Next Article   Topic: Remember the MOOCs? After Near-Death, They're Booming Sandeep Gupta, a technology manager in California, sees the economic storm caused by the coronavirus as a time “to try to future-proof your working life.” So he is taking an online course in artificial intelligence. 美國加州科技業經理古普塔認為，新冠肺炎引發的經濟風暴是「防止職業生涯被未來淘汰」的時機，所以修讀了一門關於人工智慧的線上課程。 Dr. Robert Davidson, an emergency-room physician in Michigan, says the pandemic has cast “a glaring light on the shortcomings of our public health infrastructure.” So he is pursuing an online master's degree in public health. 密西根州急診室醫師戴維森說，疫情「使我們公衛基礎設施的弱點顯而易見」，所以他在修讀線上公衛碩士學位。 Children and college students aren't the only ones turning to online education during the coronavirus pandemic. Millions of adults have signed up for online classes in the past two months, too — a jolt that could signal a renaissance for big online learning networks that had struggled for years. 在新冠肺炎大流行期間轉而接受線上教育者，不限於兒童和大學生。過去兩個月，數以百萬計的成人也註冊參加線上課程，這令人驚訝的事實可能意味苦撐多年的大型線上學習網路即將再起。 Coursera, in which Gupta and Davidson enrolled, added 10 million new users from mid-March to mid-May, seven times the pace of new sign-ups in the previous year. Enrollments at edX and Udacity, two smaller education sites, have jumped by similar multiples. 古普塔與戴維森註冊的Coursera，從3月中旬到5月中旬增加1000萬新用戶，是去年同期新增註冊人數的七倍。edX與Udacity這兩個規模較小的教育網站，新註冊人數也以類似倍數暴增。 “Crises lead to accelerations, and this is best chance ever for online learning,” said Sebastian Thrun, a co-founder and chairman of Udacity. Udacity共同創辦人兼董事長史朗說：「危機導致改變加速發生，這是線上學習業未曾遇過的最佳良機。」 Coursera, Udacity and edX sprang up nearly a decade ago as high-profile university experiments known as MOOCs, for massive open online courses. They were portrayed as tech-fueled insurgents destined to disrupt the antiquated ways of traditional higher education. But few people completed courses, grappling with the same challenges now facing students forced into distance learning because of the pandemic. Screen fatigue sets in, and attention strays. Coursera、Udacity和edX近十年前出現，嘗試與大學合作推出線上課程而備受矚目，這類課程名為「大規模開放線上課程」，簡稱「磨課師」。這種課程被描述為獲得科技支持的反叛者，意在顛覆傳統高等教育過時的授課方式。不過，很少有人能修完課程，這些人窮於應付的挑戰，與目前因為疫情被迫遠距學習的學生一樣。長時間盯著螢幕造成疲勞，而且注意力難以集中。 But the online ventures adapted through trial and error, gathering lessons that could provide a road map for school districts and universities pushed online. The instructional ingredients of success, the sites found, include short videos of six minutes or less, interspersed with interactive drills and tests; online forums where students share problems and suggestions; and online mentoring and tutoring. 不過這些線上企業透過反覆試驗來調整，並且積聚了可供被迫線上授課的學區和大學參考的知識和經驗。這些網站發現，線上授課成功的要素包括：短片時間不超過6分鐘，穿插互動練習和測驗；設立線上論壇，讓學生提出問題和建議；並提供線上指導和輔導。 A few top-tier universities, such as the University of Michigan and the Georgia Institute of Technology, offer some full degree programs through the online platforms. 有幾所頂尖大學，如密西根大學和喬治亞理工學院，透過這些線上平台提供一些正式學位學程。 While those academic programs are available, the online schools have tilted toward skills-focused courses that match student demand and hiring trends. 這些線上學校雖提供學術性學程，卻更傾向開設符合學生需要和雇用趨勢的技能課程。 The COVID-19 effect on online learning could broaden the range of popular subjects, education experts say. But so far, training for the tech economy is where the digital-learning money lies. With more of work and everyday life moving online — some of it permanently — that will probably not change. 教育專家指出，新冠肺炎可能會使線上課程熱門科目範圍變得更廣。不過到目前為止，針對科技經濟提供的訓練課程，才是數位教學業的金雞母。隨著更多的工作和日常生活轉移到線上進行，有些是永遠轉到線上，這種情況大概不會改變。Source articles: https://paper.udn.com/udnpaper/POH0067/354879/web/

Blockchain vs crypto currency, WiFi vs Ethernet connection to router, how much bandwidth is enough (looking at required data rates), actual vs theoretical download speeds (always lower), Profiles in IT (Sebastian Thrun, autonomous vehicle pioneer and founder Udacity), innovation according to Sebastian Thrun (an experimentation and learning process), and a new approach to AI (thinking with analogies). This show originally aired on Saturday, May 7, 2022, at 9:00 AM EST on WFED (1500 AM).

Blockchain vs crypto currency, WiFi vs Ethernet connection to router, how much bandwidth is enough (looking at required data rates), actual vs theoretical download speeds (always lower), Profiles in IT (Sebastian Thrun, autonomous vehicle pioneer and founder Udacity), innovation according to Sebastian Thrun (an experimentation and learning process), and a new approach to AI (thinking with analogies). This show originally aired on Saturday, May 7, 2022, at 9:00 AM EST on WFED (1500 AM).

In this episode our guest is Noor Siddiqui, founder and CEO of Orchid. Noor explains her mission behind Orchid helping couples achieve parenthood and healthy babies through genetic risk and single cell testing. We dive deep into the history of reproductive technology. Noor takes us along the journey from old days where birth control was obscene and controversial, to modern days with ultra high resolution genetic testing systems for couples, advanced embryo screening for families going through IVF and single cell sequencing. Understanding genetic risk impacts your lifestyle, your choices and can change the course of any possible diseases. Testing before your child is conceived gives you the best chance of mitigating risk. Couples can safely reduce their future children's genetic risk for the most common diseases and avoid suffering from similar conditions they have dealt with during their own lives. SUPPORT US ON PATREON: https://www.patreon.com/rhyslindmark JOIN OUR DISCORD: https://discord.gg/PDAPkhNxrC Who is Noor Siddiqui? Noor Siddiqui is the Founder and CEO at Orchid, a reproductive technology company which measures genetic predisposition to disease helping families have healthier babies. Before Orchid, she founded Remedy, a digital health company that helped doctors get instant answers from specialists. Noor received an M.S/B.S in Computer Science from Stanford, taught a class there on Reproductive Technology, and did AI and genomics research with Anshul Kundaje and Sebastian Thrun. Topics we touch: Welcome Noor Siddiqui to The Rhys Show: (00:00) Throughline that connects Noor's work / From Thiel fellowship to biotech: (02:50) Learning about interests & becoming more sincere to them: (04:07) Hyper about Orchid: (05:41) A teenager wanting to make “baby making” better : (07:10) Gene therapy vs. IVF/Alzheimer & different perspectives: (13:13) Couple report/method & sequencing tool : (18:06) How Orchid works: (21:24) Associations that are being done: (23:28) Embryo report/screening, how IVF works & sequencing : (26:36) Initial PCR amplification with lots of cells vs with only 5 cells: (33:20) Mentioned resources: Thiel Fellowship: https://thielfellowship.org/ Illumina: https://www.illumina.com/ Connect with Noor Siddiqui: Linkedin: https://www.linkedin.com/in/noorsiddiqui/ Web “Noor Siddiqui”: https://noorsiddiqui.com/about/ Twitter “Noor Siddiqui”: https://twitter.com/noor_siddiqui_ Web “Orchid”: https://www.orchidhealth.com/ Twitter “Orchid”: https://twitter.com/orchidinc

Sebastian Thrun was one of the early pioneers of the self-driving car, and spent years working at Google and elsewhere to make autonomous vehicles a reality. Then he ditched the industry entirely and went for something even bigger: flying cars.Except, wait, don't call them flying cars. Thrun, now the CEO of Kitty Hawk, calls them “electric vertical takeoff and landing aircrafts,” or eVTOLs for short. (It's not quite as catchy.) But whatever the name, Thrun is betting that they'll be transformative. No more dealing with existing infrastructure and outdated systems, no more worrying about the human driver next to you. He imagines a fully autonomous, fully safe, much more environmentally friendly skyway system that doesn't have to worry about terrestrial matters at all. And he's convinced that's all coming much faster than you might think.Thrun joined the Source Code podcast to talk about the state of flying cars — sorry, eVTOLs — along with his vision for the future, what it'll take to get there, why batteries are the bane of everyone's existence, and whether he's nervous to be the first human passenger inside Kitty Hawk's latest vehicle, Heaviside.For more on the topics discussed in this episode:Sebastian Thrun on TwitterKitty HawkMore info on HeavisideKitty Hawk's New Flying Car Promises a (Near) Silent Flight – WiredWhat Is a Flying Car? — The New York Times

On this episode of Think Like A Founder, SNP Co-Founder & CEO Maureen Taylor speaks with Noor Siddiqui, Founder and CEO of Orchid. They talk about parental autonomy, radical candor paired with radical kindness, and getting people to talk off-script.Orchid helps couples have healthy babies through genetic testing. Their goal is to take away some of the scary unknowns of having a child. Before founding Orchid, Noor founded Remedy, a digital health company that helped doctors get instant answers from specialists. She received an M.S/B.S in Computer Science from Stanford, taught a class there on Reproductive Technology, and did AI and genomics research with Anshul Kundaje and Sebastian Thrun. Learn more about Noor on her website: https://noorsiddiqui.comThink Like A Founder is produced by SNP Communications in San Francisco, California. Learn more about the Think Like A Founder podcast and curriculum by visiting us at https://snpnet.com/tlaf/ or connect with Maureen Taylor on LinkedIn to continue the conversation there. Series Producer: Mike SullivanSound Design: Marc Ream Content and Scripting: Jaselin DrownProduction Coordinator: Natasha ThomasThanks also to Róisín Hunt, Selena Persiani-Shell, Jordan Bailey, Matt Johnson, Eli Shell, John Hughes, and Renn Vara.

We're carrying on with last week's format as I'm sharing with you some of the core segments from a master's course I've been teaching on the Secrets of Silicon Valley at a university in Barcelona. In this course I am presenting the methods and systems of success that can be replicated anywhere in the world to disrupt any market and achieve success. And yes, I mean anywhere. In this course I have brought in the smartest people I know and asked them for their own secrets of success. This week we'll be talking to Dave Clarke about firing, hiring and finding what you love, as well as some crazy stories from his exceptional career. Let's go… Dave Clark has had what some would describe as an unbelievable, or even unattainable career, having worked with some of the world's greatest entrepreneurs to help them transform their moonshot goals into reality. He has worked with Richard Branson on the Virgin Galactic space program, with Travis Kalanick at Uber and Larry Page and Sebastian Thrun at Kittyhawk. He's now a general partner at EXPA, helping more entrepreneurs make their dreams come true. As you can probably imagine, he has plenty of crazy stories to tell! I'll let Dave share the details of how he ended up on this wild path with you… --- Send in a voice message: https://anchor.fm/ann-hiatt/message Support this podcast: https://anchor.fm/ann-hiatt/support

For decades, experts have been racking their brains over autonomous driving and the extra comforts that it brings. Within the last few years, they have made tremendous progress and are busy developing the most advanced technologies and ever-smarter A.I. solutions for autonomous driving. But what about safety? Is today's driverless technology really able to deliver what the is being promised? And if not, when will we then witness its breakthrough? To find answers, our host Yasmine Blair met two top experts in their fields: Sebastian Thrun, CEO of Kitty Hawk Corporation and chairman and co-founder of Udacity, and Martin Hart, Director Driver Assistance Systems & Active Safety a Mercedes-Benz. In the latest episode of Let's Talk Mercedes – the Mercedes-Benz podcast – they'll talk about the fine lines between the levels of automated driving and pinpoint the roadblocks to its practical introduction. They'll also discuss their personal visions of an automated future and ponder how long it might take to convince someone to watch a movie behind the wheel. Visit us on Mercedes me Media: http://media.mercedes-benz.com/letstalkmercedes

Read the full transcript here. Why has there been such an explosion of progress in genomics recently? What's the right way to think about how genes affect the likelihood of experiencing certain health outcomes? How can people mitigate genetic risks for their potential children? What sorts of moral obligations (if any) do parents have to mitigate potential genetic risks for their children? How does Orchid's focus differ from other companies in the same space? What is "junk" DNA? What percentage of our genes are identical to our siblings, to other humans, and even to other animals?Noor Siddiqui is the Founder and CEO of Orchid, a reproductive technology company. Prior to Orchid, Noor was an AI researcher at Stanford where she worked on applications of deep learning to genomics with Anshul Kundaje and computer vision applied to medical imaging with Sebastian Thrun. Noor has spoken internationally about her work at the intersection of technology and medicine at events like Milken's Global Conference, WebSummit, and Kaiser Permanente's Executive Leadership Summit. Her work has been covered by The Washington Post, Forbes, TechCrunch, among other outlets. Noor is also a recipient of the Thiel Fellowship, a grant program spawned by Paypal founder and Facebook board member, Peter Thiel, supporting breakthrough technology companies. Noor earned her M.S. and B.S. in Computer Science from Stanford University. Follow her on Twitter, connect with her on LinkedIn, visit her website, or email her at noorsiddiqui@orchidhealth.com. [Read more]

Read the full transcriptWhy has there been such an explosion of progress in genomics recently? What's the right way to think about how genes affect the likelihood of experiencing certain health outcomes? How can people mitigate genetic risks for their potential children? What sorts of moral obligations (if any) do parents have to mitigate potential genetic risks for their children? How does Orchid's focus differ from other companies in the same space? What is "junk" DNA? What percentage of our genes are identical to our siblings, to other humans, and even to other animals?Noor Siddiqui is the Founder and CEO of Orchid, a reproductive technology company. Prior to Orchid, Noor was an AI researcher at Stanford where she worked on applications of deep learning to genomics with Anshul Kundaje and computer vision applied to medical imaging with Sebastian Thrun. Noor has spoken internationally about her work at the intersection of technology and medicine at events like Milken's Global Conference, WebSummit, and Kaiser Permanente's Executive Leadership Summit. Her work has been covered by The Washington Post, Forbes, TechCrunch, among other outlets. Noor is also a recipient of the Thiel Fellowship, a grant program spawned by Paypal founder and Facebook board member, Peter Thiel, supporting breakthrough technology companies. Noor earned her M.S. and B.S. in Computer Science from Stanford University. Follow her on Twitter, connect with her on LinkedIn, visit her website, or email her at noorsiddiqui@orchidhealth.com.

Why has there been such an explosion of progress in genomics recently? What's the right way to think about how genes affect the likelihood of experiencing certain health outcomes? How can people mitigate genetic risks for their potential children? What sorts of moral obligations (if any) do parents have to mitigate potential genetic risks for their children? How does Orchid's focus differ from other companies in the same space? What is "junk" DNA? What percentage of our genes are identical to our siblings, to other humans, and even to other animals? Noor Siddiqui is the Founder and CEO of Orchid, a reproductive technology company. Prior to Orchid, Noor was an AI researcher at Stanford where she worked on applications of deep learning to genomics with Anshul Kundaje and computer vision applied to medical imaging with Sebastian Thrun. Noor has spoken internationally about her work at the intersection of technology and medicine at events like Milken's Global Conference, WebSummit, and Kaiser Permanente's Executive Leadership Summit. Her work has been covered by The Washington Post, Forbes, TechCrunch, among other outlets. Noor is also a recipient of the Thiel Fellowship, a grant program spawned by Paypal founder and Facebook board member, Peter Thiel, supporting breakthrough technology companies. Noor earned her M.S. and B.S. in Computer Science from Stanford University. Follow her on Twitter, connect with her on LinkedIn, visit her website, or email her at noorsiddiqui@orchidhealth.com.

Why has there been such an explosion of progress in genomics recently? What's the right way to think about how genes affect the likelihood of experiencing certain health outcomes? How can people mitigate genetic risks for their potential children? What sorts of moral obligations (if any) do parents have to mitigate potential genetic risks for their children? How does Orchid's focus differ from other companies in the same space? What is "junk" DNA? What percentage of our genes are identical to our siblings, to other humans, and even to other animals?Noor Siddiqui is the Founder and CEO of Orchid, a reproductive technology company. Prior to Orchid, Noor was an AI researcher at Stanford where she worked on applications of deep learning to genomics with Anshul Kundaje and computer vision applied to medical imaging with Sebastian Thrun. Noor has spoken internationally about her work at the intersection of technology and medicine at events like Milken's Global Conference, WebSummit, and Kaiser Permanente's Executive Leadership Summit. Her work has been covered by The Washington Post, Forbes, TechCrunch, among other outlets. Noor is also a recipient of the Thiel Fellowship, a grant program spawned by Paypal founder and Facebook board member, Peter Thiel, supporting breakthrough technology companies. Noor earned her M.S. and B.S. in Computer Science from Stanford University. Follow her on Twitter, connect with her on LinkedIn, visit her website, or email her at noorsiddiqui@orchidhealth.com.

Florida State Senator Jeff Brandes joins Grayson Brulte on The Road To Autonomy Podcast to discuss the big idea and why Florida is the perfect environment to operate autonomous vehicles.The conversation begins with Senator Brandes discussing his experience serving in Operation Iraqi Freedom as a transportation officer. During his time in Iraq, Senator Brandes read Capitalism and Freedom by Milton Friedman. This book had a profound effect on him and changed the way he sees the world, chooses to govern, and propose legislation.Operating convoys in Iraq also had a tremendous impact on Senator Brandes. One that would lead to one Senator Brandes Big Ideas a Florida State Legislator.It would be a lot safer if I did not have to have soldiers in these convoys and they could operate autonomously. – Florida State Senator BrandesAs an incoming State Senator in 2012, Senator Brandes wanted to distinguish himself from a great class of legislators. To do this, he reached into his past experience and embraced a Big Idea – Autonomous Vehicles after watching Sebastian Thrun‘s Google's driverless car TED Talk over a dozen times.There is one big idea in every area of public policy. – Florida State Senator BrandesTo make this Big Idea a reality, Senator Brandes reached out to Google and sought their assistance. The legislation which made testing autonomous vehicles on public roads legal passed unanimously and HB 1207 was signed by Governor Rick Scott in 2012.HB 1207 laid the groundwork for what Florida has become today, the Capital of Autonomous Vehicle deployments and commercialization in North America.Florida has the best laws on the books as it relates to self-driving. We have the best laws on the books as it relates to ride-sharing. – Florida State Senator BrandesInnovative companies have a long history of moving and expanding their operations to Florida from California partly due to regulation. This trend started in earnest when Walt Disney began acquiring land in the 1960's to develop Walt Disney World.Today, history is repeating itself as innovative autonomous vehicle companies such as Argo AI and Luminar are operating in the State. They are creating high-paying jobs and having a positive impact on the economy.You have to be competitive globally, not just amongst the States. What can we do to remove the barriers? Florida has the perfect environment to operate these types of vehicles. – Florida State Senator BrandesWhen you combine Florida's tourism industry with frictionless mobility services, magic happens.Florida is a mobility story as much as it is anything else. Whether it be Henry Flagler or Walt Disney. These are all mobility stories. – Florida State Senator BrandesFrom autonomous mobility to space flights, Florida is leading on innovation. Florida is also leading on issues such as criminal justice reform. It is an issue that Senator Brandes has championed as it is a big idea.Senator Brandes shares the story of how he first became interested in criminal justice reform. It's a powerful heart-wrenching story. A story that leads Senator Brandes to take a leadership position working on solutions that will have a positive impact on society.Another issue that is impacting businesses and schools today is COVID-19. Senator Brandes has filed legislation to protect health care providers, businesses, and schools from COVID-19 liabilities. The conversation evolves into a discussion about Governor Ron DeSantis' decision to open schools and the long-term positive impact on children in Florida.It was the best decision [Governor Ron DeSantis] made since the beginning of COVID. – Florida State Senator BrandesWith schools open, businesses open, companies are flocking to Florida in droves. The trend did not just start with COVID, it just accelerated. The trend began when Argo AI chose Miami as one of the autonomous vehicle test cities in 2018.We have created this environment where technology can thrive and where the taxes are of a lower nature. Where it's a strong incentive to consider relocating here. – Florida State Senator BrandesWrapping up the conversation, Grayson and Senator Brandes discuss the major mobility changes they see happening in Florida over the next ten years. Including how the State is preparing for the transition to electric vehicles and how safely evacuate individuals' electric vehicles during a hurricane.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Der DAX erreicht neues All-Time-High und auch in den USA ist die Tendenz an den Börsen positiv. Besonderes Aufsehen hat eine Falschnachricht rund um Tesla-Gründer und CEO Elon Musk erregt, der letzten Freitag kurzerhand für tot erklärt wurde. In der Story des Tages durchleuchtet unser Stammanalyst Pip die globale Flugtaxi-Branche. Besonders im Fokus stehen die beiden deutschen Player Lilium Aviation und Volocopter. Lilium wurde unter anderem von Frank Thelen finanziert und soll demnächst per SPAC an die Börse. Die tiefsten Taschen hat das amerikanische Flugtaxiunternehmen Joby Aviation, das bisher bereits 800 Mio. US-Dollar eingesammelt hat. Das tiefste Netzwerk hat Kitty Hawk, das vom deutschen Sebastian Thrun gegründet wurde, der zuvor das Google Team für autonomes Fahren aufgebaut hat. Insgesamt eine Branche mit vielen Chancen aber auch vielen Risiken. Es gibt viele spannende Ansätze, wer sich am Schluss durchsetzen wird, ist aus heutiger Sicht noch unklar. Diesen Podcast der Podstars GmbH (Philipp Westermeyer) vom 09.03.2021, 3:00 Uhr stellt Dir die Trade Republic Bank GmbH zur Verfügung. Die Trade Republic Bank GmbH wird von der Bundesanstalt für Finanzaufsicht beaufsichtigt.

By Walt HickeyWelcome to the Numlock Sunday edition. Each week, I'll sit down with an author or a writer behind one of the stories covered in a previous weekday edition for a casual conversation about what they wrote.This week, I spoke to Alex Davies, the author of the brand new book Driven: The Race to Create the Autonomous Car. It's just out as of last week and is an enthralling read about the events that led us to the present-day state of the art of autonomous vehicles.I've been looking forward to this book since it was announced, and it doesn't disappoint: from the iconic if shambolic 2004 DARPA Grand Challenge to the legal battles that threatened to tear the industry apart, the creation of this tech could change the world. It's a great story.For the first time, I recorded one of these to be podcast-quality so you can actually listen to the interview up top. Let me know if you enjoy that, and maybe I'll do more of them!The book is Driven: The Race to Create the Autonomous Car and can be found wherever books are sold, and Alex is on Twitter at @adavies47. This interview has been condensed and edited. Unless otherwise indicated, images are from DARPA. Podcast theme by J.T. Fales.Alex, you are the author of the brand new book, Driven: The Race to Create the Autonomous Car. You cover all about transportation, you cover all about vehicles and you've also covered a lot about the technology that goes into them. There's been a lot of talk about driverless cars recently, you were talking about how this is a really long journey. How far back have we been working on driverless cars?I think the people first started talking about the driverless car right around the time people came up with the car itself. The car was a great invention for all sorts of reasons but one thing people noticed very quickly was that when you got rid of the horse, you got rid of the sentient being that would stop you from driving off a cliff or into a wall if you, the human driver, stopped paying attention. You see these stories from the ‘20s and ‘30s of people coming up with ways of remote-controlling cars using radio waves. And in the ‘50s, you start seeing programs from General Motors and RCA working on embedding electric strips into the road, which obviously didn't work for various reasons, that would help guide a car along the highway. You see examples from the 1939 and 1964 World's Fairs in New York where GM is talking about, "oh, cars that will drive themselves and you'll have these things like air traffic controllers saying, okay, your car is clear to go into self-driving mode," or back then they would have used the word autonomous.Ford Pavilion, 1939 World's Fair, via Library of CongressSo, the idea itself is really old but technologically, I think you've got to date this work from the ‘70s, ‘80s and ‘90s. That's when you first start seeing the technology that undergirds the way we think about building self-driving cars today, which is not by following any kind of radio path, nothing built into the infrastructure and the system, but the basic idea of giving the car the tools it needs to drive itself the way a human operates a car. You've got three basic buckets: one is you have to recreate a human's senses, so that's where you see things like cameras, radars, LiDAR sensors, giving the car the ability to see the world around it. You have to replace what a human's arms and legs do or hands and feet, really, and those are just kind of servo motors built into the car that give the car the ability to turn the steering wheel or pump the gas and brakes. And, actually, in today's cars, that's all done purely over software, it's not even really mechanical in there anymore. And then the last, the really tricky thing is how do you replace the human's brain? The step between the senses and actually carrying out the decisions you need to make.I start my story with the 2004 DARPA Grand Challenge. I give a little bit of the history of the robotics and artificial intelligence research that happened before it. But for me, the Grand Challenge is really the starting point. DARPA is that really kooky arm of the Pentagon that is basically charged with making sure the U.S. government is never surprised on the technological front. It came out of the Soviets launching Sputnik, which really shocked the Americans to hell, and they're like, “okay, we need an arm of the military that's just going to do the kooky kind of far out stuff.” So DARPA, a lot of big hits — the internet, GPS, stealth bombers. Some not so great moments — DARPA was instrumental to the creation of Agent Orange. Whoops.Oops, yeah no, don't want to do that one.That one, not so nice.Look, they're not all hits, they're not all hits and that's okay. We are friends, we have been friends for a while now. I feel like you have told me the story of the 2004 DARPA Grand Challenge many times, as this deeply formative event, not only for self-driving cars but also robotics and Silicon Valley and how government can work together on different things. Do you want to go into what went into creating this event and kind of what happened at it? Which I feel like is a very, very cool story that I imagine is a solid chunk of the book.It is a solid chunk of the book. It's also, personally, my favorite part of the book. To me, this is really the heart of the story. DARPA was tasked with helping the U.S. military develop autonomous vehicles and the basic thinking there was that vehicles were a way a lot of soldiers got hurt, especially in the early 2000s, as we were starting to get mired down in these wars in Iraq and Afghanistan. We wanted autonomous vehicles so soldiers didn't have to be in vehicles that were being hit by IEDs, so you could send cars by themselves on convoys and dangerous missions, and basically, it was to save the lives of the troops. DARPA had been funding all sorts of research into autonomous driving for decades by this point and the guy running it, DARPA director Tony Tether, was frustrated that he just wasn't seeing the kind of progress he wanted to see, it just felt like one internal research project after another.So, he said, “do you know what?” DARPA had, at the time, a relatively new power to give out prize money and he could give out up to a million dollars without needing congressional approval. So, he created a thing called the DARPA Grand Challenge with a $1 million first prize. It was a race for autonomous vehicles across the Mojave Desert in California. You would go from this real dusty little town called Barstow in the California Mojave Desert to just across the line to Primm, Nevada, which is a pretty sad town because it's the least driving you have to do from California to legally gamble in a casino. If you're like, “I don't have the energy to drive the extra 45 minutes to Las Vegas,” you go to Primm.Oh no.And so, Tether's original idea, very briefly, it was we're going to have the cars go from Los Angeles to the Las Vegas Strip and they'll go on the freeway. And the guy at DARPA who was actually in charge of putting on this race was like that is completely insane, you can't do any of that. These robots don't work, we don't even know what they're going to look like. So, they ended up doing it in the desert, which made more sense for the military application anyway when you think about what your driving in the Middle East would be like. But the key part of the challenge was that it was open to anybody, this was not just Lockheed Martin and Boeing and Carnegie Mellon University, the big contractors who had been doing this kind of work. Tony Tether just said, “anybody who can build a self-driving car, we'll bring them all to the desert and we'll do this big race.” And so, you see this wide range of characters who come into this.I think, foremost among them, interestingly, is Anthony Levandowski, who at the time is just about 23 years old. He's an graduate student at UC Berkeley and he decides he really wants to be in this because he loves robotics, even though he doesn't have a ton of robotics training. He's like, “I'm going to build a self-driving motorcycle.” So, that's his idea. You've got the big players like Carnegie Mellon and that's where Chris Urmson, who becomes Anthony Levandowski's great rival once they're both at Google years later, comes in. Chris Urmson is a big player, Carnegie Mellon is the robotics powerhouse in the world, probably the best roboticists in the world and have been doing tons and tons of self-driving research over the decades. They field this team as a powerhouse of a team and you've got this guy, Red Whittaker, who's the old roboticist there.This is amazing.I have been yelled at by Red Whittaker more times than I care to remember. Really!He's just very cantankerous, he's an ex Marine, he's now 70 years old, he's well over six feet, he's 250 pounds, the guy is built like a redwood and he's just always yelling. And he builds robots, someone pointed this out to me once, he builds robots that look like him, in a sense. They're always these enormous, hulking things and for the Grand Challenge, they built this Humvee. And Red Whittaker, someone told me, he has this penchant for saying really bombastic things that sound crazy and don't actually make any sense. So, he once told someone, this project, it's like a freight train, you've just got to grab on and it'll rip your arms off.It sounds terrible.When he told me this, it's like, what does that even mean? But he has this incredible talent for really developing young engineers. And Chris Urmson is among his many proteges who are now pushing this technology into the world.And so, you have this collection of wacky racers, gathering to win a million dollars from the Defense Department in the desert. And the first one is 2004, what happens at the first one?It is a disaster. The 2004 DARPA Grand Challenge is supposed to be a 142 mile race through the desert, 15 teams get out of a qualifying round and make it to the final round. If you looked at the qualifying round, vehicles were smoking and shaking or they couldn't even start at all or they were just driving into every last thing. And then the race in the desert itself, wasn't all that much better. It got off to a great start, Carnegie Mellon's Humvee, Sand Storm, was first off the line, it shoots off into the desert. So, it's doing okay, the first couple of vehicles get off the line okay. And then you get through the bottom half of the field and it becomes a comedy of errors. You've got one little bathtub shaped thing that goes up onto the tiny ridge just on the side of the trail where it's raised and flips over and lands upside down.You've got one that drives 50 yards out, does an inexplicable U-turn and drives back to the starting line. We've got one, one just veers off-road into barbed wire and then can't find it's way back. You've got this thing from OshKosh that's a 14 ton military truck, a six wheeled thing, it's lime green and it's got a tumbleweed, like a bush thing in front of it. And its detection system says, this is an unmovable obstacle, but then another tumbleweed shows up behind it and so, it just starts going forward and backward and forward and backward like Austin Powers, trying to turn around. And then, even Carnegie Mellon's vehicle, which is doing well and is seven miles into the race, it's going around a hairpin turn, it goes off the edge of the road a little bit and it gets hung up on this rock. It gets, basically, stranded like a whale on a beach. It's raised up to the point where its wheels can't get any traction anymore. The robot brain doesn't know this and it's just spinning its wheels, spinning its wheels at full speed until the rubber is on fire and smoke pouring off this thing. And DARPA has to show up from a helicopter. They hop out of the helicopter with the fire extinguishers, and it's a complete disaster.And the thing that DARPA had really hyped up, they're like, “this is the new innovation, we're going to save the lives of all these troops.” And so then, reporters come after Tony Tether and he meets them, he meets the reporters who are waiting at the end line, at the finish line, which is roughly — it's 142 mile race — 130 miles away from the closest car. The Outcome.Carnegie Mellon did the best, it went 7.4 miles. Anthony Levandowski's motorcycle makes it into the final round, mostly as a stunt. It did horribly in qualifying, but the DARPA guys are like, “this thing is so crazy, it really embodies the spirit of what we're trying to do, so let's just bring it to the race anyway.” It's not like it can win, its gas tank doesn't hold enough gas for it to go all the way to the finish line.So, Anthony brings it up to the starting line, hands it off to a DARPA guy who kind of holds his hand on it until it goes, motorcycles starts going, he takes his hand off and motorcycle instantly falls to the ground. Anthony had forgotten to turn on the stabilizing software system before it started.That will get you.And so, one of his lessons for the next year was make a checklist.The cool thing about this is that it's an utter fiasco, it's how you always tell it. But then everybody who was there for this fiasco, they stuck around and they went, in many ways, to kind of form the current self-driving industry. Do you want to talk about that seed, what it has turned into since?Yeah. So, very quickly, what's great about the Grand Challenge is that it brings all these people together, and it pits them against this problem that everyone had kind of dismissed as impossible. So, what happens is DARPA does the 2005 Grand Challenge 18 months later, and the 18 months really prove to be the difference in that teams that weren't ready at all for the Grand Challenge, for the original one, are ready 18 months later. They've learned much more about how this works. And so, the 2005 race is a huge success. Stanford, led by Sebastian Thrun, comes in first place, Carnegie Mellon second, five teams finish this big race through the desert. Then DARPA follows it up with the 2007 Urban Challenge, which pits the vehicles against a little mock city, where they have people driving around and all of a sudden they have to deal with traffic and stop signs and parking lots and all of this stuff.What you really get from the Urban Challenge is the sense that this technology seems, suddenly, very possible. And by 2007, this is a big media event, it's hosted by the guys who did MythBusters and Larry Page is there, and he shows up in his private plane full of Google execs, and it's like, look at this future of technology. About a year later, Larry Page wants to build self-driving cars. This is actually something he'd looked at as an undergraduate or a graduate student and then his thesis advisor said, “well, how about you focus on internet search instead?” And it worked out pretty well.It worked out okay, I think, right?I think he did fine, that's what I thought. He decided I want to get back to self-driving cars. He'd been at the Urban Challenge and been like, “I can see how far this technology has come,” so what he did was he went to Sebastian Thrun, who had led Stanford's team through the challenges and he was already working at Google, he was a big part of making Street View happen. Along with Anthony Levandowski, who Thrun had met through the challenges and he's like, “oh, this guy's nuts but he's really talented and he's a real go-getter.” So, he brings him on to help them do Street View and then Larry Page says, “okay, now build me a self-driving car.” Sebastian Thrun says, "okay, well I happen to know the 12 best people on the world at this technology, I met basically all of them through the DARPA challenges."He has this meeting at his chalet in Lake Tahoe, at the end of 2008. And he brings together a dozen people and it's Anthony Levandowski and it's Chris Urmson and then people like Bryan Salesky — names that are now really the top tier in self-driving cars. And he says, “Google is going to build a self-driving car, we're going to have something that looks a whole lot like a blank check and I want this team to be the one to do it.” And that becomes Project Chauffeur. They become this really secretive project within Google, they go forth over the next couple of years, and they make this incredible progress in self-driving cars. And this is the story of the second half of the book: how this team it comes together and then how they ultimately come apart because as soon as they have to start thinking about how to make a product, how to commercialize this technology and the reality of money and power within the team become real wedge issues.Within them, you see rivalries, especially between Urmson and Levandowski, who are fighting for control and fighting for the direction of the team. Ultimately, things kind of break apart and what you see over time is as people leave and as this technology starts to look a lot more real, everyone splinters off to do their own thing, and this was what I call Google self-driving diaspora. Chris Urmson leaves to start Aurora. Bryan Salesky leaves to start Argo. Dave Ferguson and Jiajun Zhu leave to start Nuro, Don Burnette leaves to start Kodiak, and Anthony Levandowski, of course, leaves to start Otto, which is acquired by Uber, which is the genesis of the Uber-Waymo huge self-driving lawsuit.Considerable amount of litigation that I believe is ongoing to this day, yes.So, the litigation did end, fortunately for everyone but the lawyers, I think. Uber and Waymo ultimately settled and then, weirdly, about a year after that, the Department of Justice charged Levandowski with criminal trade secret theft to which he ultimately pled guilty, and a few months ago he was sentenced to 18 months in prison, but he will not start his sentence until the pandemic is over.So, it definitely seems that this is still very much seen as the start of something, and you have covered a lot of this industry. What's kind of the state of the art now and where are things kind of moving forward?Well, fortunately for the industry, all of these personal rivalries, I think, have largely cooled off. And I think the book is really a history of how this got started and how these people pulled this technology forward, and then kind of came apart at the seams. But now what you've got is something that looks a little bit like a mature industry. You have Waymo with its program in the Arizona suburbs of Phoenix, and it's starting to really take the safety drivers out of its cars in earnest. Cruise, which is also a focus of the book, which is part of GM and also backed by Honda, is moving to take the safety drivers out of its cars in San Francisco, a much more dynamic environment, as it moves to start a self-driving system there. Self-driving trucks are looking much more serious than ever before. Argo AI, which has partnered with Ford and Volkswagen, is moving towards starting a taxi service, a robo-taxi service in Miami.I talk about the Gartner hype cycle where, I think, from 2014 to 2017 or so, we were really at peak hype, totally inflated expectations where everyone said, “your kids will never have to learn how to drive.” Chris Urmson is saying, "my 12 year old son will never have to learn to drive a car," and I'm pretty sure the kid's got his learner's permit by now. Those inflated expectations burst a little bit as people realize just how hard this technology is. But I think where we are now, on that Gartner hype cycle, is on what's called the slope of enlightenment, where people are getting more serious. Even if they haven't cracked the problem yet, I think they have a really good sense of what it takes to crack the problem, which, it turns out, is a lot of time, an incredible amount of money and at least 1,000 very talented engineers.Whole lot of lasers, a very sympathetic governmental oversight structure in a suburb of Phoenix. We have the ingredients for the solution, right?We could make it work. And so, I'm still optimistic about it, I still think the technology can do a lot of good. I think what people are figuring out is how to right-size this technology. People are figuring out how to actually apply self-driving cars in a realistic way, and I think the cooler projects out there are companies that are working on making self-driving shuttle cars for senior living communities, these big areas in Arizona and Florida, they cover 1,000 acres and people need to get around but can't necessarily drive anymore. And where the driving environment is pretty calm, that's a great use case. The trick right now is to figure out where you can make the technology work, and then the next question will be where can you actually make money off of this? That one I'm less bullish on because the economics of this, I think, are going to be pretty tough to crack.I mean, we're closing in on the end of this one, but DARPA seeded a little bit of the initial funds, it seems, for a lot of this research. Is that still an application that people are looking into or getting folks off the road in places that are dangerous?The army is still working on that, and I think those projects are still ongoing. But the initial push for DARPA was a line in a congressional funding bill from the end of 2000, it was one of the last things Clinton signed into law. And it mandated that by 2015, one-third of all ground vehicles, I think it was military, be unmanned, which was completely insane.How did we do? What's the number?I mean, maybe we've got three vehicles. That stuff hasn't panned out so much. But my favorite thing, one of the first people I managed to track down for this book was the guy, the congressional staffer who got that line into the bill. And I told him, I was like, "oh, I'm researching this and I would just want to ask you about why you put that in there and what your thinking was." And he goes, "Oh, did something come of that?"That's amazing.I was like, “yeah, I don't know, an industry that's predicted to be worth $7 trillion.”And what also came of it is Driven: The Race to Create the Autonomous Car by Alex Davies. Alex, where can people find the book? You can find this book, basically, anywhere online, it's available through Amazon, Barnes and Noble, your regular booksellers. It's out in hardcover January 5. You can also get the audiobook, you can get it on Kindle. Get it however you like, I just hope you enjoy it.My Twitter handle is @adavies47. You can find some of my work on Business Insider, where I'm the senior editor for our transportation desk.Ah, excellent website, very, very good website. If you have anything you'd like to see in this Sunday special, shoot me an email. Comment below! Thanks for reading, and thanks so much for supporting Numlock.Thank you so much for becoming a paid subscriber! Send links to me on Twitter at @WaltHickey or email me with numbers, tips, or feedback at walt@numlock.news. Get full access to Numlock News at www.numlock.com/subscribe

Learn why Udacity (Founder & Executive Chairman) and Kitty Hawk (CEO) Sebastian Thrun believes job skill training and education needs to be a basic human right in every country, and how AI will help us get there. See omnystudio.com/listener for privacy information.

I am thrilled to announce this weeks podcast guest: Prof. Sebastian Thrun Brief overview: He is a Stanford professor, founder of Google X, built the first self driving car, won the Darpa-Award for it, started the online-academy Udacity and is now building autonomous planes at Kitty Hawk. Wow. Can you tell why I highly admire him and how excited I was when I won him for my podcast? We talked about the car nation in Germany, how competitive we are in the AI and software world, Stanford vs. TU-Munich, why Sebastian is striving for a brain-computer interface, why he has built the leading online university Udacity and how to tackle machine learning as a modern CTO. He also explains why he eventually comes up with a Bluetooth-connected Smart-Bra next.

Kitty Hawk is shutting down its Flyer program, the aviation startup's inaugural moonshot to develop an ultralight electric flying car designed for anyone to use. The company, backed by Google co-founder Larry Page and led by Sebastian Thrun, said it's now focused on scaling up Heaviside, a sleeker, more capable (once secret) electric aircraft that […]

If you could press a button to merge your mind with an artificial intelligence computer—expanding your brain power, your memory, and your creative capacity—would you take the leap? “I would press it in a microsecond,” says Sebastian Thrun, who previously led Stanford University's AI Lab. Turning yourself into a cyborg might sound like pure sci-fi, but recent progress in AI, neural implants, and wearable gadgets make it seem increasingly imaginable.

Kitty Hawk reveals its secret project, Heaviside The aviation startup has been working on the quiet electric aircraft for two years Sebastian Thrun is waving a device in his hand with an excited, almost gleeful expression on his face as he trots from a makeshift aircraft hangar toward the secret project that Kitty Hawk Corp. has been working on for nearly two years.

Sebastian Thrun is our first guest. He is an incredible computer scientist. One of the inventors of self-driving cars, now working on flying cars. He is the founder of a company called Udacity. It is an incredibly interesting company helping people to acquire skills for the jobs of the future. Sebastian was really the pioneer of the whole movement we've seen for what's called Massive Online Open Courses (MOOCs) which is online distance learning. There is so much more to unpack with Sebastian in this episode. Let's dive right in. Learn more about your ad choices. Visit megaphone.fm/adchoices

Since Stanley Kubrick's 2001: A Space Odyssey introduced the prospect of Artificial Intelligence (AI) with the spaceship computer system HAL, the world has had a rollercoaster relationship with the idea - from hope to hype, and everywhere in between. Have we "unleashed the demon" with AI, or does the potential of deep learning and machine learning for improving health outcomes far outweigh the fear factor? Duncan Arbour, Senior Vice President, Innovation with Syneos Health Communications, takes us on a fascinating journey through the progression of AI, its application in healthcare and touching on its potential impact on biopharma companies, healthcare providers, investors and the industry as a whole. But what about the perspective of the patient - up till now, the missing component in healthcare's AI conversation? To answer this question, Arbour shares the findings from a new Syneos Health report, Artificial Intelligence for Authentic Engagement: Patient Perspectives on Healthcare's Evolving AI Conversation, based on a survey of 800 patients regarding their expectations and concerns around the potential role of AI in diagnosis, treatment and support in their day-to-day lives. Also referenced in this episode: The Gartner Hype Cycle Google alum Sebastian Thrun's paper on melanoma diagnosis through machine learning in the journal Nature Geoffrey Hinton's comparison of radiologists to Wile E. Coyote IBM supercomputer Watson versus cancer The General Data Protection Regulation in the EU Investment opportunity for AI in the healthcare sector The "Speak Easy" study on the potential for voice assistance to build relationships Amazon, JP Morgan and Berkshire Hathaway plan to form their own health care company See our full list of podcast episodes here. The information, data, and other content contained in this podcast and any associated articles, sponsorships, advertisements, announcements or other communications are provided for informational purposes only and should not be construed as professional advice of any kind, on any subject matter. The content of the podcast contains general information and may not reflect current legal developments, verdicts or settlements. Moreover, the content is not guaranteed to be complete, correct, timely, current or otherwise up-to-date. Syneos Health reserves the right to make alterations or deletions to the content at any time without notice to you.

Educator and entrepreneur Sebastian Thrun wants us to use AI to free humanity of repetitive work and unleash our creativity. In an inspiring, informative conversation with TED Curator Chris Anderson, Thrun discusses the progress of deep learning, why we shouldn't fear runaway AI and how society will be better off if dull, tedious work is done with the help of machines. "Only one percent of interesting things have been invented yet," Thrun says. "I believe all of us are insanely creative ... [AI] will empower us to turn creativity into action." Hosted on Acast. See acast.com/privacy for more information.

مستدفر يستضيف اليوم علي الصيبعي لنتحدث عن الذكاء الإصطناعي وتعلم الالة, وعن عقلية “أول سعودي فعل”, وعن أمكانية عمل السيارات الذاتية في العواصم العربية. وصلات الحلقة الدروون الذاتي المشكلة في بعقلية “الأول” تعيين وزير الذكاء الصناعي في الإمارات تغريدة الدكتور أحمد نبيل قصة السيارات الذاتية عبر العقود تحدي داربا للسيارة الذاتية سيباستيان ثران موقع ماستودون البديل لتويتر

Machine learning is everywhere, it's used on email, Netflix, social media and for driverless cars. In this episode, Katie Malone gives an introduction to machine learning. Katie is a data scientist in the research and development department at Civis Analytics. She is also an instructor of the intro to machine learning online course from Udacity along with Sebastian Thrun.