Podcasts about intel ai

Wikipedia is attacked by Trump lackeys, Bluesky folds under pressure from the Turkish government, Linux YouTube is terrible as usual, Microsoft wants you to use the “proper” VS Code, Intel AI chips aren't selling well, yet another open source project has to deal with crawlers, TrueNAS goes Linux-only, and more.   News Trump DOJ goon... Read More

Wikipedia is attacked by Trump lackeys, Bluesky folds under pressure from the Turkish government, Linux YouTube is terrible as usual, Microsoft wants you to use the “proper” VS Code, Intel AI chips aren't selling well, yet another open source project has to deal with crawlers, TrueNAS goes Linux-only, and more.   News Trump DOJ goon... Read More

Mike is joined by tech experts Carmi Levy and Graye Williams this week to talk tech! We're talking winter tire tech this week with Michelin, and learning about the Michelin X-Ice Snow tires! We'll also learn about a cool AI tool that can upscale low resolution photos and images on our weekly Intel AI segment. Plus, did Netflix's experiment with ad supported cheaper subscriptions work? Tune in to find out!

Dive into the transformative potential of Retrieval Augmented Generation (RAG) with Intel's Bill Pearson and Deloitte's Baris Sarer. In this episode, they discuss how RAG combines enterprise data with large language models to unlock new efficiencies and insights. From tackling data governance and security challenges to exploring cutting-edge solutions at the edge and in the cloud, this conversation unpacks the real-world applications, benefits, and future of AI-driven data management in the enterprise.  Learn more about Intel AI for Enterprise RAG.

This episode of To the Edge & Beyond is Part 2 of the Edge Neural Technology series, where host Michelle Dawn Mooney is joined by Intel AI experts Zach Meicler-Garcia, Sanjana Kamath, and Sanjay Addicam to explore the groundbreaking advancements in Intel's Edge Neural Technology. This episode delves into the inception, functionality, and far-reaching impact of Neural Code technology, a revolutionary approach to AI model building and training that is reshaping industries like healthcare and education.Zach Meicler-Garcia begins by tracing the origins of Neural Code technology, which draws inspiration from Dr. Sheila Nirenberg's pioneering research at Weill Cornell Medicine. "The neural code mimics the human retina's behavior, extracting key features from a scene and converting them into a format that AI can process efficiently," Garcia explains. This technology reduces reliance on large datasets by focusing on motion and essential features, making it an innovative solution for AI model creation with minimal data inputs.Sanjana Kamath discusses the practical applications and benefits of Neural Code technology, emphasizing its ability to enhance AI explainability. "The Neural Code enables the creation of shallower Convolutional Neural Networks (CNNs), which preserve privacy and remove bias, making them ideal for data-sensitive environments," she highlights. Kamath also underscores how Intel's no-code graphical interfaces and edge training capabilities make advanced AI accessible to users across various sectors, without the need for extensive coding expertise.Sanjay Addicam expands on the technology's potential, particularly in addressing challenges like hallucinations caused by generative AI video algorithms. "Even with limited data, Neural Code ensures accurate AI outputs and supports rapid model building," Addicam explains, pointing to the future of qualitative benchmarking as a game-changer in the AI space.Intel's Edge Neural Technology stands as a major leap forward in AI, offering a blend of accuracy, privacy, and seamless deployment. This revolutionary approach is poised to redefine AI applications across industries, transforming how we interact with technology.Discover more about their cutting-edge technology:Zach Meicler-GarciaSanjana KamathSanjay AddicamSubscribe to the "To the Edge & Beyond" podcast on Apple Podcasts and Spotify to engage with more thought leaders from the Intel and Edge Network group.

This episode of To the Edge & Beyond is Part 2 of the Edge Neural Technology series, where host Michelle Dawn Mooney is joined by Intel AI experts Zach Meicler-Garcia, Sanjana Kamath, and Sanjay Addicam to explore the groundbreaking advancements in Intel's Edge Neural Technology. This episode delves into the inception, functionality, and far-reaching impact of Neural Code technology, a revolutionary approach to AI model building and training that is reshaping industries like healthcare and education.Zach Meicler-Garcia begins by tracing the origins of Neural Code technology, which draws inspiration from Dr. Sheila Nirenberg's pioneering research at Weill Cornell Medicine. "The neural code mimics the human retina's behavior, extracting key features from a scene and converting them into a format that AI can process efficiently," Garcia explains. This technology reduces reliance on large datasets by focusing on motion and essential features, making it an innovative solution for AI model creation with minimal data inputs.Sanjana Kamath discusses the practical applications and benefits of Neural Code technology, emphasizing its ability to enhance AI explainability. "The Neural Code enables the creation of shallower Convolutional Neural Networks (CNNs), which preserve privacy and remove bias, making them ideal for data-sensitive environments," she highlights. Kamath also underscores how Intel's no-code graphical interfaces and edge training capabilities make advanced AI accessible to users across various sectors, without the need for extensive coding expertise.Sanjay Addicam expands on the technology's potential, particularly in addressing challenges like hallucinations caused by generative AI video algorithms. "Even with limited data, Neural Code ensures accurate AI outputs and supports rapid model building," Addicam explains, pointing to the future of qualitative benchmarking as a game-changer in the AI space.Intel's Edge Neural Technology stands as a major leap forward in AI, offering a blend of accuracy, privacy, and seamless deployment. This revolutionary approach is poised to redefine AI applications across industries, transforming how we interact with technology.Discover more about their cutting-edge technology:Zach Meicler-GarciaSanjana KamathSanjay AddicamSubscribe to the "To the Edge & Beyond" podcast on Apple Podcasts and Spotify to engage with more thought leaders from the Intel and Edge Network group.

Join host Paul Spain and Jo Hilson, Chief Technology Officer of Tourism Holdings, as they discuss the latest tech news, including NZ police unauthorised access to facial recognition sites, Sparks TransGo partnership with Transpower, Te Whatu Ora's digital upgrade, Teachers concerns on AI usage, Qualcomm considers Intel takeover, Apple news and hands on review of Google TV streamer 4K and iPhone 16. Plus, a look at technology integration and innovation at Tourism Holdings and more.Thank you to our show partners One NZ, Spark, HP, 2degrees and Gorilla Technology.

Learn about the origins of Oracle's Roving Edge Device, and how the next-gen iteration with updated Intel processors is leading to breakthrough advancements in defense, agriculture, and healthcare. Recorded live at Oracle CloudWorld 2024 in Las Vegas with Matt Leonard, VP of OCI Edge and Cloud Infrastructure, Peter Guerra, Global VP of Data and AI, and guest host, Andy Morris from Intel Enterprise AI. The conversation also highlights Oracle and Intel's 31-year partnership and innovations in AI deployment at the edge. Guests include: Matt Leonard is Vice President of OCI Edge Cloud product management at Oracle, leading product strategy and vision for bringing the power of cloud computing to the edge. Matt's goal is to enable customers to deploy and manage applications anywhere. With over 20 years of experience in product management, integration, and IT advisory, Matt has a proven track record of delivering successful products and solutions for leading tech companies such as Google, Microsoft, and Amazon. Peter Guerra, Global Vice President, Data & AI at Oracle, is a proven Data & AI executive with over 20 years of experience with commercial and public sector customers.  Prior to Oracle, he led AI teams at Microsoft, AWS, Accenture and Booz Allen Hamilton. His career has been to focus on data & AI solutions for customers in defense, public sector, health, energy, and retail.  He is a technical expert in AI and data platforms, having led numerous deployments and algorithm development solutions, including contributing to the Apache Accumulo and Apache Nifi projects. He has written thought pieces for O'Reilly, published papers in IEEE, and has spoken at industry events such as NVIDIA's GTC, Oracle CloudWorld, Blackhat, and more. Peter holds a Bachelor of Science in Computer Science, a Bachelor of Art in English from University of Maryland, and an MBA with Information Systems concentration from Loyola University.  

9/10/24: Rep Pat Duffy on the MA ballot questions. Duke Goldman: Red Sox v. Yankees, Aaron Judge v. Shoshei Ohtani, remembering James Earl Jones. UConn Prof Beth Ginsberg on the debate, the polls, & the minority vote. Educator Todd Gazda: Artificial Intel (AI) in schools: truth and consequences

當運算中心處理的資料量越大、處理的速度越快，熱能也隨之增加，而過往使用的氣冷散熱本身有其極限，當堆積的熱排不掉，晶片效能也會越來越差。為解決散熱問題，#液冷散熱 已成為當前晶片發展的重要議題。#台達基金會 #氣候戰役在台灣 Podcast S3E3 邀請到台灣熱管理協會理事長 & Intel水冷團隊技術總監龔育諄分享，AI下的散熱挑戰有哪些液冷解方以及散熱產業的發展趨勢。★本集重點：1. 如何衡量散熱成效？國際上有哪些參考指標？2. 什麼是液冷散熱？不同的液冷散熱間又有哪些差別？3. 液冷散熱要能普及，有哪些挑戰得先處理？ 本集Podcast收聽  :　Apple podcast　Youtube　Spotify　KKBOX 

AI迅速進展下的散熱挑戰有哪些？液冷解方以及散熱產業的發展趨勢。 － 如何衡量散熱成效？國際上有哪些參考指標？ － 什麼是液冷散熱？不同的液冷散熱間又有哪些差別？ － 液冷散熱要能普及，有哪些挑戰得先處理？

Explore the transformative potential of AI in the enterprise, guided by insights from Anil Nanduri, Vice President and Head of Intel AI Accelerator Office. Learn why integrating AI is crucial for staying competitive and uncover the benefits of scalable solutions. This episode delves into a flexible, secure approach to AI, ensuring seamless integration with existing enterprise systems and maximizing ROI. Tune in to discover how enterprises can leverage AI to drive innovation and efficiency.   #IntelAI  @IntelAI

本集由《經理人月刊》編輯團隊精選國際財經管理資訊，資深採訪編輯簡鈺璇、實習編輯陳恬靖提供導讀和解析，幫助讀者快速掌握最新的管理趨勢。

「Intel AI Summit Japan」にAI PCが勢ぞろい！　少し先のミライを見てきた。　インテルは6月6日、AI（人工知能）の利活用に関するセミナーイベント「Intel AI Summit Japan」を開催した。このイベントではデータセンター／HPC（ハイパフォーマンスコンピューティング）向けCPU「Xeon 6プロセッサ」など、同社が持つAIポートフォリオについて紹介された。

De techbeurs Computex is in volle gang in Taiwan. De beurs staat volledig in het teken van AI en alle grote chipmakers tonen nieuwe chips voor computers en datacenters. Techredacteur Joe geeft een korte impressie van de beurs en ontmoet een belangrijke man: Taiwanese president Lai Ching Te. Verder vertelt Stijn Goossens in de studio over de nieuwe chip-serie 'Lunar Lake' van Intel. Die moet energiezuiniger zijn door een nieuwe chiparchitectuur en is speciaal geschikt voor de AI-laptops die Microsoft vorige maand aankondigde.  Verder presenteerde Intel AI-chips voor datacenters, waarmee ze hopen een stukje markt van NVIDIA af te pakken. NIVIDIA's H100-chip is op dit moment de marktleider, met de Gaudi 3-chips hoopt Intel in ieder geval plek twee van AMD af te pakken als het gaat om AI-datacenter-chips.  Verder in de Tech Update: Spotify-CEO Daniel Ek maakt excuses voor 'onhandige' tweet over goedkope kosten muziekproductie. Tegelijk gooit hij de prijs van Spotify Premium in Amerika opnieuw omhoog met 1 dollar, naar 12 dollar per maand. Daarmee zijn de duurder dan concurrent Apple Music.  Samsung start preventieve rechtszaak tegen concurrent Oura, die een belangrijke speler is op de markt van slimme ringen. Oura zou namelijk berucht zijn om de IP-rechtszaken, maar Samsung is ze een stapje voor.  See omnystudio.com/listener for privacy information.

劉寶傑 黃世聰 呂國禎 吳子嘉 --- Send in a voice message: https://podcasters.spotify.com/pod/show/ettvamerica/message

Hello hello everyone, this is Alex, typing these words from beautiful Seattle (really, it only rained once while I was here!) where I'm attending Microsoft biggest developer conference BUILD. This week we saw OpenAI get in the news from multiple angles, none of them positive and Microsoft clapped back at Google from last week with tons of new AI product announcements (CoPilot vs Gemini) and a few new PCs with NPU (Neural Processing Chips) that run alongside CPU/GPU combo we're familiar with. Those NPUs allow for local AI to run on these devices, making them AI native devices! While I'm here I also had the pleasure to participate in the original AI tinkerers thanks to my friend Joe Heitzberg who operates and runs the aitinkerers.org (of which we are a local branch in Denver) and it was amazing to see tons of folks who listen to ThursdAI + read the newsletter and talk about Weave and evaluations with all of them! (Btw, one the left is Vik from Moondream, which we covered multiple times). I Ok let's get to the news: TL;DR of all topics covered: * Open Source LLMs * HuggingFace commits 10M in ZeroGPU (X)* Microsoft open sources Phi-3 mini, Phi-3 small (7B) Medium (14B) and vision models w/ 128K context (Blog, Demo)* Mistral 7B 0.3 - Base + Instruct (HF)* LMSys created a "hard prompts" category (X)* Cohere for AI releases Aya 23 - 3 models, 101 languages, (X)* Big CO LLMs + APIs* Microsoft Build recap - New AI native PCs, Recall functionality, Copilot everywhere * Will post a dedicated episode to this on Sunday* OpenAI pauses GPT-4o Sky voice because Scarlet Johansson complained* Microsoft AI PCs - Copilot+ PCs (Blog)* Anthropic - Scaling Monosemanticity paper - about mapping the features of an LLM (X, Paper)* Vision & Video* OpenBNB - MiniCPM-Llama3-V 2.5 (X, HuggingFace)* Voice & Audio* OpenAI pauses Sky voice due to ScarJo hiring legal counsel* Tools & Hardware* Humane is looking to sell (blog)Open Source LLMs Microsoft open sources Phi-3 mini, Phi-3 small (7B) Medium (14B) and vision models w/ 128K context (Blog, Demo)Just in time for Build, Microsoft has open sourced the rest of the Phi family of models, specifically the small (7B) and the Medium (14B) models on top of the mini one we just knew as Phi-3. All the models have a small context version (4K and 8K) and a large that goes up to 128K (tho they recommend using the small if you don't need that whole context) and all can run on device super quick. Those models have MIT license, so use them as you will, and are giving an incredible performance comparatively to their size on benchmarks. Phi-3 mini, received an interesting split in the vibes, it was really good for reasoning tasks, but not very creative in it's writing, so some folks dismissed it, but it's hard to dismiss these new releases, especially when the benchmarks are that great! LMsys just updated their arena to include a hard prompts category (X) which select for complex, specific and knowledge based prompts and scores the models on those. Phi-3 mini actually gets a big boost in ELO ranking when filtered on hard prompts and beats GPT-3.5

Learn the latest on open ecosystems, AI data foundations and Meta's new Llama 3 with Dr. Wei Li, VP/GM of AI Software Engineering at Intel.

Attesa per inflazione Usa; Intel prova a sfidare Nvidia; OpenAI e Meta, in arrivo AI in grado di pianificare; Stellantis, Tavares incontra i sindacati; Salone del Risparmio, unione mercati dei capitali al centro. Puntata a cura di Elisa Piazza - Class CNBC 

Intelの最新AIアクセラレーター「Intel Gaudi 3」は2024年第3四半期から本格出荷　一部OEMには先行出荷。　Intelは4月9日（米国太平洋時間）、AIアクセラレーター「Intel Gaudi 3」を発表した。出荷開始スケジュールは以下の通りだ。

During the SXSW 2024 event, Wei Li presented on AI Everywhere with Software and Hardware. In this episode of the AI Today podcast we interview Wei Li. He is VP/GM of the AI Software Engineering Team at Intel. He shares with what insights from that talk and what he means by AI being everywhere in both hardware and software. Continue reading AI Everywhere with Software and Hardware: Interview with Wei Li, Intel [AI Today Podcast] at Cognilytica.

OpenAI startet Vergütungsprogramm für GPT-Entwickler Amazon investiert in Anthropic Adobe zeigt neue KI-Funktionen X.com rollt Grok aus Ein neues offenes Sprachmodell zeigt hohe Leistung Und Intel weitet sein AI PC Acceleration Program aus heise.de/ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast https://www.ct.de/ki

As organizations continue to adopt AI the idea of innovation and sustainability are becoming important conversations. Intel wants to accelerate AI adoption by lowering barriers to entry for customers. In this episode of the AI Today podcast we interview Nuri Cankaya. He is the VP of AI Marketing at Intel. Nuri sheds light on the myriad challenges faced by companies as they navigate the integration of AI with real-world data. Continue reading Lowering Barriers to Entry for AI: Interview with Nuri Cankaya, Intel [AI Today Podcast] at Cognilytica.

IntelがAI時代を見据えた半導体の「受託生産」ロードマップを発表　2030年までに世界第2位を目指す。　Intelは2月21日（米国太平洋時間）、半導体の受託生産サービスに関するイベント「Intel Foundry Direct Connect 2024」を開催した。イベントでは、同社の受託生産サービス「Intel Foundry Services（IFS）」のロードマップが公表された。

Is it time to do your own pivot out of large cap growth stocks and into areas of the market that have dramatically lagged? Anastasia Amoroso from iCapital gives her take. Plus, Mark Okada from Sycamore Tree Capital Partners sees higher rates in the new year. He explains why. And, star analyst Stacy Rasgon tells us what today's Intel AI event might mean for the stock. 

On the eve of Intel's Meteor Lake processor launch, Paul Thurrott, Leo Laporte, and Richard Campbell discuss the future of neural processing units and how PC hardware will adapt to the new age of AI computing. Are the lower-end chips essentially "defects" of the top version?  Full episode at http://twit.tv/ww859 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/

On the eve of Intel's Meteor Lake processor launch, Paul Thurrott, Leo Laporte, and Richard Campbell discuss the future of neural processing units and how PC hardware will adapt to the new age of AI computing. Are the lower-end chips essentially "defects" of the top version?  Full episode at http://twit.tv/ww859 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/

On the eve of Intel's Meteor Lake processor launch, Paul Thurrott, Leo Laporte, and Richard Campbell discuss the future of neural processing units and how PC hardware will adapt to the new age of AI computing. Are the lower-end chips essentially "defects" of the top version?  Full episode at http://twit.tv/ww859 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/

Elon Musk plant een financieringsronde die kan oplopen tot 1 miljard dollar (ongeveer 930 miljoen euro) voor xAI, de start-up die moet rivaliseren met OpenAI (bekend van ChatGTP) en Google. Dat blijkt uit gegevens van de Amerikaanse financiële waakhond SEC. Het dit voorjaar opgerichte bedrijf wil tot 1 miljard dollar ophalen via een aandelenemissie, aldus de SEC. xAI zegt sinds eind november al bijna 135 miljoen dollar te hebben geworven bij vier investeerders. Ook zegt het bedrijf een "bindende overeenkomst" te hebben gesloten met niet nader genoemde partijen voor de verkoop van de resterende aandelen. Musk, die naast Tesla aan het roer staat bij SpaceX en X (voorheen Twitter), richtte de start-up op om de concurrentie aan te gaan met OpenAI. Begin november stelde de Amerikaanse multimiljardair zijn eigen AI-product voor, genaamd Grok. Die creatie heeft toegang tot informatie van X, waarvan Musk de meerderheid van de aandelen heeft. Verder in deze Tech Update: Nvidia heeft een opmerkelijke uitspraak gedaan over diens concurrentie, namelijk Huawei en Intel  AI kan nu ook helpen om een lekker wijntje uit te kiezen, althans volgens een onderzoek aan de Universiteit van Bordeaux See omnystudio.com/listener for privacy information.

Episodi 6, Sezoni 2 Ermi Tafili, Endri Zaganjori dhe Gerti Dermani, të apasionuar pas Teknologjisë dhe Robotikës, tre të rinjtë nga Shkodra, me rezultate të shkëlqyera në mësime, me mesatare 10 në të gjitha lëndët, në gjimnazin "28 Nëntori", fituan vendin e parë në Festivalin Ndërkombëtar INTEL AI, me prezantimin e projektit për lehtësimin e trafikut në qytet, një projekt inovator, përmes inteligjencës artificiale. Në këtë konkurs u prezantuan 126 projekte nga 20 shtetesh.

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome ai.io's Chief Product Officer Jonathan Lee, for a conversation on how AI is revolutionizing sports around the world and how ai.io leverages Intel's AI solutions to democratize athletic scouting, development and insights for athletes across the globe. Their discussion covers: ai.io AI application overview, poised to revolutionize the sports industry, including a concise explanation of its functionality AI's transformative influence on sports video analysis practices The process involved in optimizing ai.io's software platform for Intel silicon Compelling athlete success stories from traditionally underrepresented areas, showcasing opportunities for sports advancement. The ongoing exploration of intriguing applications for ai.io's technology

長い長いオープニングトークでは、ドリキンのiPhone 15 Pro Max購入についての釈明、Immersed VisorやXREAL Air 2といった新世代ヘッドセット/グラスについて、後半では善司さんがIntelを現地取材したMeteor Lake、そしてAI PCについて怒涛の解説がありました。▽番組からお知らせBSマガジン学割始めました！学生の方は以下のフォームから申請していただくと、18歳未満無料、18歳以上半額で購読することが出来ます！https://forms.gle/RaRLDZEzKQMrKi2A8BSリスナーが集まるSNS「グルドン」の新規登録はこちら！https://mstdn.guru/invite/B5XUmAS8▽トピックオープニング / watchOS 10 / モニター / Visor▽関連リンク@backspacefm / TwitterBSマガジンYouTube版 #517Apple、Apple Watchのマイルストーンとなるアップデート「watchOS 10」を配布開始仕事用のVR/ARヘッドセット「Visor」が予約開始。500ドルからで2024年出荷予定Intehill モバイルモニター 4k 16インチ 黄金比16:10、3840x2400で 色深度10bit 色空間 DCI-P3 98% ミニPC・ノートPC用ハイエンドポータブルモニター U16NAモバイルモニター 4K 15.6インチ UPERFECT 3840x2160 モバイルディスプレイ 金属製 ゲームモニター IPS液晶パネル 非光沢 VESA対応 薄型 Type-C/ミニ HDMI PS4/XBOX/Switchなど対応 保護カバー付き▽レギュラースポンサーこの番組はフェンリル株式会社の提供でお届けしております。backspace専用マストドンインスタンス、通称グルドンはさくらインターネットのサポートを受けて運用しています。backspace.fmでは我々の活動を応援してくれるスポンサーを募集しています。興味がある方はぜひこちらにて連絡ください！drikin+backspacefm@gmail.comこの番組は Riverside.fm を使ってリモート収録しています。 Riverside.fmはビデオ通話をしながら高音質ファイルを同時に収録することができる、ポッドキャストなどのリモート収録に特化したサービスです。興味がある方はぜひこちらをチェックしてみてください。https://bit.ly/RiversideFM_BackspaceSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

長い長いオープニングトークでは、ドリキンのiPhone 15 Pro Max購入についての釈明、Immersed VisorやXREAL Air 2といった新世代ヘッドセット/グラスについて、後半では善司さんがIntelを現地取材したMeteor Lake、そしてAI PCについて怒涛の解説がありました。▽番組からお知らせBSマガジン学割始めました！学生の方は以下のフォームから申請していただくと、18歳未満無料、18歳以上半額で購読することが出来ます！https://forms.gle/RaRLDZEzKQMrKi2A8BSリスナーが集まるSNS「グルドン」の新規登録はこちら！https://mstdn.guru/invite/B5XUmAS8▽トピックXREAL Air 2, Varjo Aero / HUAWEI Eyewear 2 / 次世代CPU Core Ultra(Meteor Lake) / Photoshop Firefly / Oh!X▽関連リンク@backspacefm / TwitterBSマガジンYouTube版 #517新ARグラスXREAL Air 2予約開始。画質と装着感向上、上位版XREAL Air 2 Proは電子調光対応超高解像度VRヘッドセット「Varjo Aero」が大幅値下げ。国内価格は18万円にイヤホン内蔵メガネHUAWEI Eyewear 2発表。最大11時間再生に大幅延長、音量30%増「Meteor Lake」はCPUコアが3種類!?　Intelが次世代CPUの詳細を発表（前編）：正式発表は12月14日（米国太平洋時間）Intel“逆襲”の鍵はやはり「AIプロセッサ」か　次世代CPU「Core Ultra（Meteor Lake）」を解説（後編）Photoshopに心から感謝を。生成AI「Firefly」が大事な1枚の写真を甦らせてくれました（CloseBox）無料でGPT4越え!?ついに来たXwin-LM｜shi3z［TGS2023］なんと「Oh!X」が令和によみがえる。“あの”タイトルも付録で収録▽レギュラースポンサーこの番組はフェンリル株式会社の提供でお届けしております。backspace専用マストドンインスタンス、通称グルドンはさくらインターネットのサポートを受けて運用しています。backspace.fmでは我々の活動を応援してくれるスポンサーを募集しています。興味がある方はぜひこちらにて連絡ください！drikin+backspacefm@gmail.comこの番組は Riverside.fm を使ってリモート収録しています。 Riverside.fmはビデオ通話をしながら高音質ファイルを同時に収録することができる、ポッドキャストなどのリモート収録に特化したサービスです。興味がある方はぜひこちらをチェックしてみてください。https://bit.ly/RiversideFM_BackspaceSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Pizza ovens, gaming laptops, and baby things. Ooni Volt 12 | Electric Pizza Oven | Explore — Ooni United Kingdom Legion Pro 7i Gen 8 (16″ Intel) | AI-tuned, high-performance gaming laptop | Lenovo UK The Last of Us (TV series) - Wikipedia The Cast of Us - a podcast from The Incomparable

This week, lace up your boots and be sure to stretch, because we have an exciting new Future of Tech to share with you! Avishai had a chance to sit down with Jonathan Lee, the Senior Director of Sports Performance Technology for Intel. If you never connected Intel and sports technology before, you certainly will after this conversation.  In this lively conversation, Jonathan dives deep into how Intel's AI is benefiting all facets of sports, from player performance to fan experience, and even advanced athlete scouting in underserved areas. Throughout the episode, he shares countless ways in which Intel's technology is affecting the world of athletics for elite professionals and weekend warriors alike, highlighting the myriad ways these innovations will impact sports on every level.  Enjoy the episode! Main Takeaways: Creating Scalable Athletic Solutions: Jonathan shares how AI solutions can scale to serve multiple types of athletes, from elite professionals to casual players, as well as benefiting the health and wellness space. AI and How It Will Redefine Athlete Scouting: Intel's AI Scout is changing the way player performance is evaluated, using 3D analysis to objectively gauge an athlete's potential against a growing field of competitors. Bringing Athletic Opportunities to Underserved Areas: Jonathan shares an inspiring story of how AI Scout made it possible for two unknown prospects from a remote village to be discovered and considered for an organized football program. Key Quotes: (Clean up 5 and leave in timecode) (16:29)“For sports, there are many applications that involve, how do we get athletes to perform better. Or how do we enhance a broadcast so that a fan feels more engaged with the action?  And we're at an exciting place right now in technology where we have things that really bridged the gap between the athlete and the fan.” (18:19)“A lot of the things that we work on are meant to democratize and allow technology to be not just by the very elite athletes, but all the athletes on the team, and not just all the athletes on a pro or elite team, but actually down through your weekend warrior, your consumer, even in the health space as well.” (22:37): “We use computer vision to extract 25 or more key points from the body, and then whether you use one camera or multiple cameras, we can create a 3D model of the athlete. And then from there, we can calculate biomechanics, kinematics, and provide that to a developer, or in some cases, we've built our own applications on top of that. Again, this is without the use of any sensors or suits. It's just AI. (34:28): “Last year as a team, Purdue [baseball team] stole 48 bases. That put them at 130 first out of all the teams in the country. This year they stole 116, which ranked them number 10, right? And they had a great season. We're really at the cusp here on how to use tech to actually improve performance, right? And it's being demonstrated.”  (54:35): “Being able to, to provide that information in, in real-time or near real-time would be something that would, that, that, um, would make the gym experience a bit more compelling as well as safe.”  

This week Intel and Article One, in association with the School of Law at Trinity College Dublin, hosted a symposium exploring responsible business conduct, innovation and Artificial Intelligence (AI). While rapid advancements in AI and other emerging technologies have the potential for significant positive human rights impacts, they also bring heightened risks of adverse effects. Best practices, principles, and tools to ensure responsible decision-making are vital elements in the evolution of AI technologies. The one-day symposium brought together thought leaders, policy makers, and academia to explore topics such as responsible development of AI and Applying responsible AI principles to manufacturing. The symposium was opened by Eamon Gilmore, EU Special Representative on Human Rights. Also speaking at the event was Lama Nachman, Intel Fellow and Director of Intelligent Systems Research Lab in Intel Labs. Lama's research is focused on creating contextually aware experiences that understand users through sensing and sense-making, anticipating their needs, and acting on their behalf. To coincide with the symposium, Lama shared her thoughts in an editorial on ‘Responsibly Harnessing the Power of AI'; “Artificial intelligence (AI) has become a key part of everyday life, transforming how we live, work, and solve new and complex challenges. From making voice banking possible for people with neurological conditions to helping autonomous vehicles make roads safer and helping researchers better understand rainfall patterns and human population trends, AI has allowed us to overcome barriers, make societies safer and develop solutions to build a better future. Despite AI's many real-life benefits, Hollywood loves to tell alarming stories of AI taking on a mind of its own and menacing people. These science fiction scenarios can distract us from focusing on the very real but more banal ways in which poorly designed AI systems can harm people. It is critical that we continuously strive to develop AI technologies responsibly, so that our efforts do not marginalise people, use data in unethical ways or discriminate against different populations — especially individuals in traditionally underrepresented groups. These are problems that we as developers of AI systems are aware of and working to prevent. At Intel, we believe in the potential of AI technology to create positive global change, empower people with the right tools, and improve the life of every person on the planet. We've long been recognised as one of the most ethical companies in the world, and we take that responsibility seriously. We've had Global Human Rights Principles in place since 2009 and are committed to high standards in product responsibility, including AI. We recognize the ethical risks associated with the development of AI technology and aspire to be a role model, especially as thousands of companies across all industries are making AI breakthroughs using systems enhanced with Intel® AI technology. We are committed to responsibly advancing AI technology throughout the product lifecycle. I am excited to share our updated Responsible AI web page, featuring the work we do in this space and highlighting the actions we are taking to operate responsibly, guard against the misuse of AI and keep ourselves accountable through internal oversight and governance processes”. Visit the Intel newsroom to read the full editorial. See more stories here.

Spatial intelligence is a way of understanding the movement of people and objects through physical spaces, but the AI and analytics necessary to gather and use that data require an expert. That expert is George Shaw, Founder & CEO of Pathr.ai, who joins us to explain Pathr's methodology and tech. How does this data benefit retail? What other industries benefit from spatial intelligence? How do they address privacy concerns?   #VARValue - For VARs interested in fitting Pathr solutions into their tech stack, how do they work with them and help them generate recurring revenue and sell more hardware?   Watch Supermicro's Edge Computing Webinar   TEConnecting with us: George (and John) - Did Google create a sentient AI? Dean - Microsoft eliminating facial recognition tools   Talk to us! Twitter - @TEConnectPod Email - TEConnect@bluestarinc.com Submit your episode ideas: https://www.bluestarinc.com/us-en/landing-pages/podcast-topics.html   Sponsored by: Intel AI for Retail & Hospitality

Nakul Arora from EdgeVerve (a wholly-owned subsidiary of Infosys Ltd.) joins host Jake Smith to talk about the role AI is playing in transforming the way enterprises unlock business insights from their corpus of documents. Nakul discusses the critical role that a symphony between the software and hardware layers plays in order to deliver an improved customer experience, reduced TCO and a higher ROI for the buyers. Nakul talks about the benefits of the Intel AI Builders program and how the two companies worked together to optimally tune EdgeVerve's Nia DocAI, a document extraction, processing and comprehension solution, for the Intel AI-stack. Follow EdgeVerve (an Infosys company) on Twitter at: https://twitter.com/edge_verve Follow Nakul on Twitter at: https://twitter.com/nakulz Follow Jake on Twitter at: https://twitter.com/jakesmithintel

Welcome to episode 8 of podcast UNKNOWN! On this episode we decided to have some fun and discuss some more interesting topics. From a home inspector having an intimate moment with an Elmo doll, Gay Furries being attracted to Funky Kong, the "Catch Me Outside" girl, Spotify pulling Joe Rogan podcast episodes, Amazon employees peeing in bottles, a man has made it on Sports Illustrateds Swimsuit Search, and more! Also make sure to follow us on all of our social media: Follow us on all of our social media: Daylan: Twitter- Yamaken726 Instagram- izanagi26 Josh: Twitter- JDWayt Instagram- JDWayt Tim: Twitter- timplaysdrums Instagram- kujatphotography Follow the podcast: Twitter- THE_podcast_UNK Instagram- the_podcast_unknown --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

Welcome to episode 8 of podcast UNKNOWN! On this episode we decided to have some fun and discuss some more interesting topics. From a home inspector having an intimate moment with an Elmo doll, Gay Furries being attracted to Funky Kong, the "Catch Me Outside" girl, Spotify pulling Joe Rogan podcast episodes, Amazon employees peeing in bottles, a man has made it on Sports Illustrateds Swimsuit Search, and more! Also make sure to follow us on all of our social media: Follow us on all of our social media: Daylan: Twitter- Yamaken726 Instagram- izanagi26 Josh: Twitter- JDWayt Instagram- JDWayt Tim: Twitter- timplaysdrums Instagram- kujatphotography Follow the podcast: Twitter- THE_podcast_UNK Instagram- the_podcast_unknown --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

In the Blind Abilities Studio, we welcome Jagadish K. Mahendran, Artificial Intelligence Developer and Engineer,and Hema Chamraj, director, Technology Advocacy and AI4Good at Intel Raqi joins Jeff in the studio to learn and find out more about this great initiative that may one day enhance the  navigating experience while Blind. From the Intel Press Release: Intel just announced a research project involving an AI-powered backpack that can help the visually impaired navigate and perceive the world around them with voice commands. Artificial intelligence (AI) developer Jagadish K. Mahendran and his team designed an AI-powered, voice-activated backpack that can help the visually impaired navigate and perceive the world around them. The backpack helps detect common challenges such as traffic signs, hanging obstacles, crosswalks, moving objects and changing elevations, all while running on a low-power, interactive device. “Last year when I met up with a visually impaired friend, I was struck by the irony that while I have been teaching robots to see, there are many people who cannot see and need help. This motivated me to build the visual assistance system with OpenCV’s Artificial Intelligence Kit with Depth (OAK-D), powered by Intel.” – Jagadish K. Mahendran, Artificial Intelligence Engineer The World Health Organization estimates that globally, 285 million people are visually impaired. Meanwhile, visual assistance systems for navigation are fairly limited and range from Global Positioning System-based, voice-assisted smartphone apps to camera-enabled smart walking stick solutions. These systems lack the depth perception necessary to facilitate independent navigation. “It’s incredible to see a developer take Intel’s AI technology for the edge and quickly build a solution to make their friend’s life easier,” said Hema Chamraj, director,  Technology Advocacy and AI4Good at Intel. “The technology exists; we are only limited by the imagination of the developer community.” The system is housed inside a small backpack containing a host computing unit, such as a laptop. A vest jacket conceals a camera, and a fanny pack is used to hold a pocket-size battery pack capable of providing approximately eight hours of use. A Luxonis OAK-D spatial AI camera can be affixed to either the vest or fanny pack, then connected to the computing unit in the backpack. Three tiny holes in the vest provide viewports for the OAK-D, which is attached to the inside of the vest. The OAK-D unit is a versatile and powerful AI device that runs on Intel Movidius VPU and the Intel® Distribution of OpenVINO™ toolkit for on-chip edge AI inferencing. It is capable of running advanced neural networks while providing accelerated computer vision functions and a real-time depth map from its stereo pair, as well as color information from a single 4k camera. A Bluetooth-enabled earphone lets the user interact with the system via voice queries and commands, and the system responds with verbal information. As the user moves through their environment, the system audibly conveys information about common obstacles including signs, tree branches and pedestrians. It also warns of upcoming crosswalks, curbs, staircases and entryways. More Context: A Vision System for the Visually Impaired (Case Study) | Intel OpenVINO Toolkit | Artificial Intelligence at Intel | MIRA Contact Your State Services If you reside in Minnesota, and you would like to know more about Transition Services from State Services contact Transition Coordinator Sheila Koenig by email or contact her via phone at 651-539-2361. Contact: You can follow us on Twitter @BlindAbilities On the web at www.BlindAbilities.com Send us an email Get the Free Blind Abilities App on the App Storeand Google Play Store. Check out the Blind Abilities Communityon Facebook, the Blind Abilities Page, and the Career Resources for the Blind and Visually Impaired group

今日は、先端技術の導入とデジタル化の話をしたいと思います。菅総理がこの間、デジタル庁を作ると言いました。日本は、2000年にIT基本法とか2013年に政府CIO室とかを作って、ぼちぼちと政府をデジタル化しようとはしてきていたのです。だけど、これまで省庁が皆勝手にやっていました。そこで、各省庁を総合してプロジェクトを推進するような役所が必要ではないかということで、デジタル庁を作ろうとしています。 役所関係の手続きで困ったこととか、もっとこうなったら良いなと思うことはないですか？ ――それこそ、今回の新型コロナウイルスで給付金をもらったりする時に、デジタル化がなかなか進んでいないというのはすごく感じましたね。私自身もマイナンバーカードを作っていなかったですし、作っていない人が結構周りにも多くいました。スマホでも出来るからと今度作ったはいいけれど、受け取りはやはり本人が行かないといけないということであれば、子ども達も連れて行かないといけないです。 デジタルで出来るようになりましたと言っているのに、何か機械を買わなきゃとか、デジタルで手続きした後に向こうが手作業でやっているとか、手続きの途中で証明書を取りに役所に行かなければいけないといったトラブルが多かったです。これが、窓口に全然行かないで出来るようになったら素晴らしいですよね。総務省が考えていることは、都道府県だって市町村だって似たようなことをやっているので、クラウドに１つのシステムを載せて、クラウドの中の総務省が標準的に作ったシステムを皆で使ってくれれば楽になる。そうすると、今まで自治体ごとにシステムを導入していた会社は突然売上が無くなるので、多分相当抵抗すると想定されていて、これからそういう戦いが起こっていくということです。 一方で、AIだとか５Gとか色々なものが起こっている。汎用CPUとAI半導体の違いを知っていますか？　「Intel入っている」っていうのもありました。パソコンに入っているIntelの半導体は汎用半導体と言って、何にでも使える半導体です。しかし、最近AI半導体だとか５G半導体だとかで、特別な目的の為にだけ作られている半導体が開発されてきていて、Intelは要らない、汎用半導体なんか要らないと言われ始めてきています。AI半導体で誰が強いのかというと、GoogleとかNVIDIA。この間、ソフトバンクがArmというイギリスの会社を買ったという話がありましたが、今度、NVIDIAにArmを買収させて、ソフトバンクがNVIDIA株をちょっと持つということになりました。ソフトバンクにとっては、NVIDIAのAI半導体がこれからとても大事なのです。５G半導体は、QualcommとかHuaweiあたりが強いです。半導体が何をしているかはあまり知らないかもしれませんけれど、汎用半導体のように何でも出来るという話ではなくてもかまいません。AI半導体だとディープラーニングに必要な大量のデータ処理が特に素晴らしく出来ることが大事です。AI半導体はGoogleだとかNVIDIAあたりが強いのです。汎用半導体のインテルは競争力が落ちてきています。AppleはこれまでIntelをMacの中に入れていました。しかし、Macの中の半導体を自分で開発するから汎用半導体はいらないと言って、Macの中にIntelではなくて自分の半導体を入れ始めています。全部入れ替えるのに２年くらいかかるだろうと言われているのですけれど、汎用半導体を作っているIntelが地盤沈下してきて、専用半導体の会社の時代になりつつあるのです。 今、スマホが４Gから５Gに移行する話があります。５Gの基地局では、アメリカがHuaweiを使うなみたいなことを言って、ノキアとかエリクソンを使わないといけないようになってきています。アメリカがイライラしている背景には中国に対する遅れがあります。人口１万人に対して中国は14.1基の５G基地局を持っているのですが、アメリカは4.1基くらいしか持っていないので、中国の方が進んでいるのですよ。日本もとても遅れている。日本に４Gの基地局は66万局あり、５G基地局はこれからつくるけれど、2023年になっても７万局くらいしか出来ないだろうと言われています。何故遅れているかというと、東京オリンピック準備に忙殺されていたために、総務省が電波の割当調整をするのに手間取って競争開始が遅れてしまったからです。世界に比べてあまりにも遅れているので、４Gの基地局を５Gに転用しようみたいな話があります。ただ、転用出来ないこともないのですけれど、５Gの特徴である速度と同時接続の内、速度は転用だと速くならないのです。しかし、同時接続は出来るようになる。映画をダウンロードするときの速さは全然速くならないのですけど、工場でIoTをやるときは同時接続が出来る必要があるし、とりあえずIoTを進めないといけないので、速度は置いておいて多数同時接続を優先しようとしています。 ところで、スーパーコンピュータと量子コンピュータの話を知っていますか？　スーパーコンピュータはデータを一つずつ高速処理するのですけれど、量子コンピュータはデータを同時に沢山処理します。この間、53個の量子ビットを使って、スパコンの15億倍の速度で仕事をしたとGoogleが発表しました。日本が富岳というスパコンを作って世界一を取り戻したと言っている中で、何億倍のスピードの量子コンピュータの開発競争になってきているのです。それを握った国が将来の世界の覇権を握るという状況です。 今日のまとめです。AIだとか５G専用の半導体が開発されて、ネットワークだとかIoTの導入競争が進みつつあるところです。先端技術の研究開発ということになると、資金や人材育成でアメリカとか中国みたいな超大国に日本がついていくのは段々無理だということが見えてきています。ただし、地方自治体のシステムとか、デジタル庁導入で横並びの省庁を総合的に進めると菅総理が言っているので、これからそれがどうなっていくのかということが１つの見所です。

我喜歡讀科技雜誌，因為我認為瞭解新科技會讓自己走在時代的前端。今天介紹一個叫 TechCrunch 的科技網站，在這篇文章，TechCrunch 報導關於 Intel 最近收購 Cnvrg.io，一間來自以色列的 machine learning, AI 公司。 ---- 今天的節目由樂天贊助 【樂天雙11購物節】 樂天ＸKevin 英文不難 給聽眾的專屬優惠 到樂天市場的「亞尼克菓子工房」，結帳輸入專屬優惠碼[Kevin100] 即享「滿千折百」獨家優惠！ 亞尼克菓子工房：https://bit.ly/35FvFib ---- 【單字】 snap up 吃下 build out 建立 acquire 獲得、購入 acquisition 購得 AI 人工智慧 (artificial intelligence) ---- ✍️ 填問卷獲得早鳥優惠！ https://www.surveycake.com/s/7KwMq 【想分享節目給不是 iPhone 的朋友？】 Spotify https://spoti.fi/3707dtZ KKBOX: https://bit.ly/3dodmkO Google 播客: https://bit.ly/3k0EHfy 【商業合作】 english.great.easy@gmail.com

This is the audio version of XReality Meetup Event "AR Glasses, Magic Leap, Nreal Development and Drones- With Cliff Baldridge" We recorded an audio version for XReality Meetup Speaker event so people can learn more about it through audio. Join our Discord XReality Meetup Community: https://discord.gg/N4y4v9V Speaker Bio (Cliff Baldridge) About I am a Machine Learning Specialist Engineer working with Deep Neural Networks in Python and C++ with TensorFlow and other Machine Learning Models. Intel AI on The Edge Scholarship Winner utilizes Intel DevCloud, Google Colab, Google, AWS, IBM and Azure Clouds for Computer Vision and Machine Learning. My current role is Senior Consultant at Genius Brands International Beverly Hills supporting Network & President / SVP Global Content Distribution & Marketing to 80 Million US Households and 90 Million Views per Month. I moved to Sr. Consultant after working the last three years Full-Time at Genius Brands as Google Advertising Director where I architected an OTT Television Network and sold complex Television Licensing and Distribution Sales Deals. I also do research and development in Machine Learning, Google Cloud Architecture, 3D Development in Unreal Engine and Unity. At GBI my work includes Entertainment Executive, Google Cloud Solutions Architect, Global Google Ads campaign Management +$1M Spends, Strategy, Business Development, Mobile Development, Acquiring Social Media Celebrity Influencers, Strategic Partnerships, Spatial Computing, AR Development, Innovation Research & Development, Global Licensing and Distribution Deal Maker and Sales. Certifications: • Google Cloud Architect Specialization Certification • Google Cloud with Machine Learning in TensorFlow Certification • Google Ads Certified • YouTube Certified Achievements • Television Academy Voting Member, Emmys, Judge for Intern & College TV Awards • Linkedin Live Video Streaming Private Invite-Only Beta Creator • Emerging Tech Magic Leap Developer Expert AR Glasses, XR, MR, Spatial Computing, Volumetric Video, Unreal Engine, Unity 3D, C++, C#, Python • Recent Global Licensing and Distribution Deals: Amazon Twitch Marathon, Xumo • Verizon 5G Labs RYOT AR Volumetric Video Stipend Award Capitol Records Hackathon • AT&T Developer Program Contest Winner 2018 AT&T 1st Prize! Emerging Technologies. 1st Magic Leap Creator Film award in History! • Cynopsis Award Winner • Google Awarded Expert • Creation, Acquisition, Distribution, Licensing & Strategic Partnerships • Sold + $20M in Products. Ad Buys/ Mktg Campaigns +1M$ Budgets Intellectual Properties work Include: • Warren Buffett's Secret Millionaires Club • Stan Lee's Superhero Kindergarten Starring Arnold Schwarzenegger • Stan Lee's Cosmic Crusaders & Mighty Seven • Llama Llama Netflix Original Starring Jennifer Garner • Rainbow Rangers Mattel, Nickelodeon, and more.

Despite its application to myriad humanitarian and civil use cases, automated road network extraction from overhead satellite imagery remains quite challenging. However, the SpaceNet 5 challenge made significant progress in this field with top participants being able to extract both road networks and speed/travel time estimates for each roadway. On today’s pod, CosmiQ’s Ryan Lewis and Dr. Adam Van Etten explore the challenge’s unique dataset and geographic diversity over time, the winning models, and the tradeoff between inference speed and model performance. SpaceNet is a non-profit LLC co-founded and managed by In-Q-Tel's CosmiQ Works in collaboration Maxar Technologies, a co-founder, and the other SpaceNet Partners including AWS, Intel AI, Topcoder, Capella Space, IEEE GRSS, The National Geospatial-Intelligence Agency (NGA), and Planet.

This week on #YourTechReport, we're excited to be welcomed by Denis Gaudreault from Intel to talk all things AI. Plus we speak with @MOEN all about their new smart home innovations.

In this segment, Adam Simmons Interviews Jake Shermeyer, Research Scientist at CosmiQ Works. The discussion is focused around the upcoming SpaceNet 6 Challenge, SAR Datasets used, and Jakes's perspective on current imagery technology. SpaceNet LLC is a nonprofit organization dedicated to accelerating open source, artificial intelligence applied research for geospatial applications, specifically foundational mapping (i.e. building footprint & road network detection). SpaceNet is run in collaboration with CosmiQ Works, Maxar Technologies, Intel AI, Amazon Web Services (AWS), Capella Space, Topcoder, and IEEE GRSS. Support Us! Enjoy listening to the show? We ask that you support us as we continue to provide great content on the Geospatial industry discussing News, best practices, and having guest speakers related to the latest industry projects. You can contribute to our continued operation through https://anchor.fm/projectgeo/support and https://www.patreon.com/projectgeospatial Your contribution keeps our website running and funds our ability to cover conferences on various events beyond the GEOINT Symposium. If you represent a company in the industry and would like to talk about your product or service on our show please, reach out to us. Thanks for listening! --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

This conversation features a discussion on security concerns specific to the rapidly growing number of Internet of Things devices and recent legislation passed in California to regulate them. Joining the discussion is friend of the show, Kathleen Glass from 2B Advice, and first-timer Ro Cammarota from the CTO office of Intel AI Research, San Diego. At Intel, he is currently working to grow the effort on Secure and Private Computing, Trustworthiness, Agile Hardware, and Standards for AI Systems.

Spanning three years of featuring five unique datasets and challenges, SpaceNet® continues to apply various aspects of machine learning to solve difficult foundational mapping problems. Looking ahead, Payam Banazadeh, Founder & CEO of Capella Space, joins IQT CosmiQ’s Ryan Lewis and Jake Shermeyer to discuss the SpaceNet 6 Challenge which explores an under-explored modality of data: Synthetic Aperture Radar (SAR). The trio provide an overview on the importance of SAR data and its value in the upcoming challenge. SpaceNet is a collaboration between CosmiQ Works, Maxar Technologies, Amazon Web Services (AWS), Intel AI, Capella Space, Topcoder, and IEEE GRSS. Space Club Rule 42: When In Doubt, Use SAR.

Welcome to Hardware Addicts, a member of the Destination Linux Network. This is a podcast that obsesses over hardware. The CPU’s, GPU’s, bare metal raw love of silicone, ceramics, copper, and the physical components that power our world. In this episode, we will cover cloud gaming vs gaming on bare metal hardware. Who is likely to win this battle and are the days of dedicated gaming machine numbered? Also, gaming mice how do you pick the right one for you. I bet some people will learn more than they ever want to know about mice. Finally, Michael discusses why Intel GPU might lore him away from AMD. All this and more on Hardware Addicts! Quick Links: Ryan = https://dasgeekcommunity.com Michael = https://tuxdigital.com Wendy = https://destinationlinux.network Want to Support the Show? Destination Linux Network Store = https://destinationlinux.network/store Want to follow the show and hosts on social media? You can find all of our social accounts at https://hardwareaddicts.org/hosts Topics covered in this episode: - Tech Adventures of the week including iPhone woes, Raspberry Pi, hitting that buy button on NewEgg shopping card, and troubleshooting a freezing PC. Core Story - In our Core story we take on the subject of Cloud vs Hardware gaming. - Google Stadia, Playstation Now, Microsoft XCloud and Apple Arcade. - What powers these cloud servers and why companies want you to move to them. - Why hardware still reigns supreme for now... - AMD partnerships - Apple sees a world without PC's Brain Filler - In our Brain Filler we help you determine how to pick a good mouse - Discusse Zowie, Corsair, Steel Series, Razer, and Logitech - Talk about what to look for in DPI, Poll Rate, and the right opticals LED vs Laser, wired vs wireless. - Finally we tackle the Intel AI advantage and why they may lore Michael away from AMD after all if what they're promising can deliver. DLN Gives Back Charity Drive for FreeGeek FreeGeek is helping to bridge the Digital Divide, Combat E-Waste and Fight for Right to Repair. For more information, visit https://destinationlinux.network/freegeek and be sure check out the interview with FreeGeek on Destination Linux Episode 151.

In this Intel on AI podcast episode: Recording live at the Intel AI Summit in San Francisco California, Deepak Dinkar Senior Practice Manager at Wipro Technologies, joins the Intel on AI Podcast to discuss how Wipro is working with Intel AI technologies to drive a wide array of innovative solutions. Deepak discusses how the Wipro […]

In this Intel on AI podcast episode: Recording live at the Intel AI Summit in San Francisco California, Deepak Dinkar Senior Practice Manager at Wipro Technologies, joins the Intel on AI Podcast to discuss how Wipro is working with Intel AI technologies to drive a wide array of innovative solutions. Deepak discusses how the Wipro […]

In this Intel on AI podcast episode: Recording live at the Intel AI Summit in San Francisco California, Deepak Dinkar Senior Practice Manager at Wipro Technologies, joins the Intel on AI Podcast to discuss how Wipro is working with Intel AI technologies to drive a wide array of innovative solutions. Deepak discusses how the Wipro […]

In this Intel on AI podcast episode: Counting and identifying characteristics of crowds can provide organizations with a lot of valuable insights. Yet challenges like image distortion, density, and different camera angles can make analyzing images accurately very challenging. Ganes Kesari, Co-founder and Head of Analytics at Gramener, joins the Intel on AI podcast to […]

SpaceNet LLC is a non-profit organization dedicated to accelerating open source, artificial intelligence applied research for geospatial applications, specifically foundational mapping. Since its founding, the dataset has been downloaded millions of times in more than 80 countries. How did all of this get started? In the first of a two-part series, Ryan Lewis (CosmiQ Works), Todd Bacastow (Maxar), Joe Flasher (AWS), and Alexei Bastidas (Intel AI) discuss the origins of SpaceNet and how all the different partners contribute to this initiative.  SpaceNet is a collaboration between CosmiQ Works, Maxar, Intel AI, Amazon Web Services (AWS), and Capella Space.

Determining optimal routing paths in near real-time is at the heart of many humanitarian, civil, military, and commercial challenges. This statement is as true today as it was two years ago when the SpaceNet® partners announced the SpaceNet Challenge 3, focusing on road network detection.  On today’s pod we are joined by Ryan Lewis and Adam Van Etten to learn about SpaceNet’s upcoming fifth challenge that revisits road detection, routing, and now travel time estimation from satellite imagery. This public challenge will test participants’ ability to automatically extract road networks from satellite imagery, along with travel time estimates along all roadways, thereby permitting true optimal routing.  SpaceNet is a collaborative effort between CosmiQ Works, AWS, Maxar, and Intel AI. Learn more at www.spacenet.ai.

In this Intel on AI podcast episode: There is growing need for digital health solutions to improve accessibility and affordability of medical resources to add value for care providers and improve healthcare outcomes for patients. Xuefeng Zhang, the Chief Marketing Officer of Huiying Medical Technology (HYHY), joins the Intel on AI podcast to talk about […]

Are we starting to see a bit coin bounce back? Anna Bethke Head of Intel AI for social good talks how their processors are making facial expressions powered wheelchairs a reality. Geoff Keighley Joins me to discuss upcoming E3 hype.

Are we starting to see a bit coin bounce back? Anna Bethke Head of Intel AI for social good talks how their processors are making facial expressions powered wheelchairs a reality. Geoff Keighley Joins me to discuss upcoming E3 hype.

In this Intel on AI podcast episode: Vinod Prasad, General Manager & Lead Architect at Wipro Technologies, joins Intel on AI to discuss Wipro medical imaging solutions powered by Intel Architecture and optimizations. He discusses how the medical industry faces many challenges today including the sometimes difficult and time consuming process of diagnosis of patient […]

A lot of the Artificial Intelligence conversations that are being had today revolve around how AI is influencing government and business but in this week’s episode, Brett and Cory sit down with Anna Bethkefrom Intelto talk about how her team is driving AI for social good initiative around the globe.  From anti-poaching to counting whales, Anna, the Head of AI for social good within the Intel AI products group, outlines some of the really cool and impactful projects her team is driving to better society.  Brett and Cory also get Anna’s opinion on the ethics of AI, the state of AI bias and some of the top trends she is seeing. This podcast was recorded at the fantastic O’Reilly Media AI Conferencein NYC.  In addition to interviewing great leaders in the AI space link Anna, the Big Data Beard team got to attend a variety of sessions and get a sense of the bleeding edge of AI.  If you missed this conference, don’t worry there are three more left this year.  Click here to get the schedule and promo codes to save you 15% off your conference pass.

Wei Li, Vice President of Intel® Architecture, Graphics and Software, and General Manager of Machine Learning and Translation at Intel, joins Chip Chat to share Intel’s overarching strategy and vision for the future of AI and outline the company’s edge to cloud AI portfolio. Wei discusses how Intel architecture enables consistency across different platforms without having to overhaul systems. He also highlights increased inference performance with the 2nd Generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost (Intel DL Boost) technology, introduced at Intel Data-Centric Innovation Day. Intel DL Boost speeds inference up to 14x [1] by combining what used to be done in three instructions into one instruction and also allowing lower precision (int8) across multiple frameworks such as TensorFlow*, PyTorch*, Caffe* and Apache MXNet*. He also touches on the work Intel has done on the software side with projects like the OpenVINO™ toolkit – which accelerates DNN workloads and optimizes deep learning solutions across various hardware platforms. Finally, Wei outlines future AI integrations in Intel Xeon Scalable processors, like support for bfloat16. For more on Intel AI and the wide range of offerings and products, please visit www.intel.ai. [1] 2nd Generation Intel Xeon Scalable processors with Intel Deep Learning Boost provide up to 14x faster inference in comparison to 1st Generation Intel Xeon Scalable processors in July 2017, for details see https://www.intel.ai/2ndgenxeonscalable/. Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to www.intel.com/benchmarks. Performance results are based on testing or projections as of 7/11/2017 to 4/1/2019 and may not reflect all publicly available security updates. See configuration disclosure for details. No product can be absolutely secure. Results have been estimated or simulated using internal Intel analysis or architecture simulation or modeling, and provided to you for informational purposes. Any differences in your system hardware, software or configuration may affect your actual performance. Intel’s compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice (Notice Revision #20110804). The benchmark results may need to be revised as additional testing is conducted. The results depend on the specific platform configurations and workloads utilized in the testing, and may not be applicable to any particular user’s components, computer system or workloads. The results are not necessarily representative of other benchmarks and other benchmark results may show greater or lesser impact from mitigations.

James Jacobs, Co-Founder & Co-CEO of Ziva Dynamics, joins Intel on AI to talk about the incredible work that Ziva Dynamics does to bring computer-generated characters to life for major films. Ziva Dynamics created an AI-based solution which addresses the huge challenges visual effects (VFX) artists face when building and modeling virtual humans and creatures. […]

With no GPS in space, how can a rover know its exact location on a lunar surface? In this Chip Chap podcast, Phil Ludivig, rover navigation engineer with iSpace, Inc.* joins Shashi Jain, innovation manager at Intel, to talk about research that applied AI to one of the biggest challenges in space exploration. Ludivig and Jain, along with other researchers, came together at NASA Frontier Development Lab (NASA FDL) to tackle questions facing NASA and the commercial space industry. Their team took on one of the most fundamental – and answered it a highly inventive way. Starting with a game engine, the team created a simulated lunar environment to train an AI algorithm that produced the ground truth needed for machine learning. Next, they created synthetic images, called reprojections, from cameras mounted on a rover. AI matched reprojected images to actual orbital images, figuring out terrain features that made sense. The team used Intel® AI DevCloud for inference, an Intel Core™ i7+ PC and Intel Xeon® Scalable processor-based server for synthetic training data generation, and Google* Cloud Platform for training. The same technique can be applied anywhere, on Mars or even areas of Earth where GPS is out of reach. For details about this and other NASA FDL projects, visit frontierdevlopmentlab.org. Information about Phil Ludivig’s organization is online at ispace-inc.com. More about AI at Intel is available at intel.com/ai. Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel, the Intel logo, Core, and Xeon are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © Intel Corporation

In this episode of the https://www.teachercast.net/episodes/teachercast-podcast/ (TeacherCast Podcast), we welcome Raysana Hurtado from Intel and California Educator, Kennan Scott, onto the program to discuss how Intel is transforming education by demonstrating what might be possible in not just the “classroom of the future”, but the “classroom of the present”. This year, Intel traveled across the country working with teachers and students to showcase their Intel's Tech Learning Lab, a custom-built, mobile truck that is filled with the most amazing virtual reality and augmented reality workstations to provide hands-on activities to teach students about coding and robotics. I'd like to thank Intel for joining me for this podcast. In this episode, we discuss: The future classroom is one that incorporates powerful technology and encourages creative approaches to learning, supporting education goals today and for tomorrow. Until now, classroom technology has been used as an add-on to existing instructional methods rather than as tools to improve or revolutionize instruction. Cutting-edge technology-based educational programs can emphasize deeper collaboration and engagement, versus student instruction on software that likely will be obsolete by the time they enter the workforce. Intel's Tech Learning Lab is an example of how innovative teaching methods, like hands-on, dynamic learning, can help educators build the leaders of tomorrow by developing fundamental career skills like communication, collaboration, self-awareness, problem-solving, critical thinking and more. Some of the demo sessions on the tour include coding a drone to fly, hands-on lessons through virtual reality, introduction to artificial intelligence, design thinking skills, and more. Some of the truck's VR experiences allowed participants to: Take a virtual field trip to the Renwick Gallery at the Smithsonian American Art Museum in Washington, D.C. Develop virtual robots in the Robotics lab using RoboEngineers by Filament Games. Pilot a spaceship and travel the universe to explore the Milky Way galaxy via virtual reality by VictoryVR. Participate in virtual frog dissections, providing a safer, cost-effective, and more humane life science/anatomy lessons by VictoryVR. Program highlights to-date include:2,150+ students, educators and general public have participated in immersive educational experiences through the Tech Learning Lab 1,020+ virtual tours of the Smithsonian American Art Museum's “No Spectators: The Art of Burning Man” exhibit 700+ frogs virtually dissected through hands-on science lessons  Technologies in the campaign included Intel AI, PCs by Intel, Lenovo, Alienware, HP, virtual reality by Oculus and HTC Vive and more. Follow our PodcastThe TeacherCast Educational Broadcasting Network | http://www.twitter.com/teachercast (@TeacherCast) Follow our HostJeff Bradbury | http://www.twitter.com/jeffbradbury (@JeffBradbury) About IntelIntel, a leader in the semiconductor industry, is shaping the data-centric future with computing and communications technology that is the foundation of the world's innovations. The company's engineering expertise is helping address the world's greatest challenges as well as helping secure, power and connect billions of devices and the infrastructure of the smart, connected world – from the cloud to the network to the edge and everything in between. Intel's 360⁰ approach to education technology keeps the focus on a student-centered learning experience. It gives educators access to digital tools, content and data that takes personalized learning to the next level. And it enables students to hone 21st-century skills to better prepare for careers in the modern workforce. Find more information about Intel at https://newsroom.intel.com/ (newsroom.intel.com) and https://www.intel.com/content/www/us/en/education/transforming-education/overview...

Dr. Yinyin Liu, Principal Engineer and Head of Data Science for the Artificial Intelligence Products Group at Intel, joins Chip Chat to talk about software tools and optimizations coming out of Intel AI Lab. Dr. Liu and her team work to converge research into data science with Intel's hardware and software technologies to contribute tools and research back to the AI community. In this interview, Dr. Liu discusses recent advancements such as NLP Architect, Reinforcement Learning (RL) Coach, and Neural Network Distiller. Dr. Liu was recently named by Silicon Valley Business Journal as one of "9 Silicon Valley women to watch who are leading in AI," https://intel.ly/2wr8S97. For more information on Dr. Liu and her team's work, please stay tuned to https://ai.intel.com/research-projects/. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © Intel Corporation

Recorded 25th August 2018 This week I am joined once again by Mark. We do our best to avoid all the rumours and speculation about the upcoming (yet to be officially announced) Apple autumn event and exactly what hardware etc will be released to focus on “actual stories” but somehow we end up at Business Insider and Mark loses his cool over one of their stories... Why not come and join the Slack community? You can now just click on this Slackroom Link to sign up and join in the chatter! We can now also be found on Spotify, Soundcloud and even YouTube. Essential Apple Recommended Services: 33mail.com – Never give out your real email address online again. Sudo – Get up to 9 free “avatars” with email addresses, phone numbers and more to mask your online identity. ProtonMail – End to end encrypted, open source, based in Switzerland. Prices start from FREE... what more can you ask? ProtonVPN – a VPN to go with it perhaps? Prices also starting from nothing! Fake Name Generator – So much more than names! Create whole identities (for free) with all the information you could ever need. Wire – Free for personal use, open source and end to end encryted messenger and VoIP. Pinecast – a fabulous podcast hosting service with costs that start from nothing. Essential Apple is not affiliated with or paid to promote any of these services... We recommend services that we use ourselves and feel are either unique or outstanding in their field, or in some cases are just the best value for money in our opinion. On this week's show: MARK CHAPPELL Twitter @Oceanspeed and @essentialmac APPLE Apple donates $1M to Kerala flood relief efforts – Apple Insider Apple Abandoning Back to My Mac in Mojave – TidBITS Apple axes Back to My Mac in macOS Mojave – Apple Insider Apple could lose one of its highest-grossing iOS apps as Netflix looks to bypass iTunes billing – 9to5 Mac Techpinions Podcast on the subject – Techpinions Apps & developers hit by day-long Apple CloudKit outage – Apple Insider Apple will be making a mistake if it no longer offers a low-cost Mac Mini – 9to5 Mac You might have seen this on Twitter but Oliver Breidenbach is part of a roundtable talking “Has Apple abandoned professional Mac users?” – ZDNet SECURITY Airmail 3 Exploit Instantly Steals Info from Apple Users – Threatpost Apple removed Facebook's Onavo from the App Store for gathering app data – TechCrunch Apple Forces Facebook VPN App Out of iOS Store for Stealing Users' Data – Hacker News 12 mistakes that can get your data hacked – and how to avoid them – ProtonVPN 7 most dangerous VPN security risks – VPN Pro Best Free VPN Services – VPN Pro TECHNOLOGY Surface Go running Windows 10 Home in S Mode – ZDNet MacJim's take: I went into John Lewis to have a look at the new Surface Go from Microsoft as it piqued my interest as a device to use on the go (sic) for editing images on a desktop editing software. I can say, it's a really nice device to hold, light and as near as damn it the same as my iPad Pro in feel/size. Didn't get to see it working as too many folk had tried to unlock it without the admin password... great price and size though_ In relation to last week's talk about ARM - can I point you to the Techpinions Podcast NVidia Turing, ARM CPUs, AMD Threadripper, Intel AI. (Sorry the sound quality on this one isn't great... have written to Tim Bajarin about it and he tells me something went wrong with the recording he wasn't aware of until later. I commiserated with him - it is a terrible blow when something like that happens. However it is well worth a listen) What a modern “car crash” looks like Twitter 5 myths about iPhone battery life you might mistakenly believe — and what you should do instead – Business Insider JUST A SNIPPET For things that are not worth more than a flypast Indiepaper, an open alternative to Instapaper and Pocket found via Cult of Mac WORTH-A-CHIRP / ESSENTIAL TIPS Add macOS Preference Panes to Your Dock For Quick Access – How to Geek Scott Wilsey points us to the Brydge 12.9 Series II Keyboard for iPad Pro via Six Colors Nemo's Hardware Store (38:37) Solo New York Boyd Backpack – $125 US Direct Social Media and Slack You can follow us on: Twitter / Slack / EssentialApple.com / Spotify / Soundcloud / YouTube / Facebook / Pinecast Also a big SHOUT OUT to the members of the Slack room without whom we wouldn't have half the stories we actually do – we thank you all for your contributions and engagement. You can always help us out with a few pennies by using our Amazon Affiliate Link so we get a tiny kickback on anything you buy after using it. If you really like the show that much and would like to make a regular donation then please consider joining our Patreon or using the Pinecast Tips Jar (which accepts one off or regular donations) And a HUGE thank you to the patrons who already do. Support The Essential Apple Podcast by contributing to their Tip Jar: https://tips.pinecast.com/jar/essential-apple-show This podcast is powered by Pinecast.

This week's Tech.pinions podcast features Tim Bajarin and Bob O'Donnell discussing major developments in the semiconductor industry, including the announcement of NVidia's Turing GPU architecture and the company's quarterly earnings, the debut of ARM's CPU roadmap for PCs, the impact of AMD's new Threadripper CPU and their datacenter plans, and Intel's new AI developments.

This week’s Tech.pinions podcast features Carolina Milanesi and Bob O'Donnell discussing Mark Zuckerberg's European testimony, analyzing the impact of the GDPR data privacy rules, debating the meaning of the Alexa private recording issue, chatting about Samsung's Bixby, and talking about Intel's AI Developer Conference.

Ziva Dynamics makes it possible to create realistic characters and creatures for motion pictures and entertainment. SciTech Academy Award winner and Ziva Dynamics Co-Founder and Co-CEO James Jacobs discusses how his company uses machine learning algorithms running on Intel® Xeon® Scalable processor-based servers and Intel-optimized frameworks to render incredibly lifelike characters and creatures at scale. Jacobs shares that creating computer-generated characters typically requires big budgets and deep post-production expertise. At Ziva Dynamics, Jacobs and his team have introduced a software simulation paradigm that leverages compute capacity to bring lifelike characters to life more efficiently and at higher quality. By automating the steps of character production and shortening rendering workflows, Ziva achieves efficiency over manual sculpting while improving the quality of the finished product. For more information, please visit https://zivadynamics.com/.

In this episode, I'm joined by Andy Keller and Emile Chin-Dickey to discuss Intel's partnership with the Ferrari Challenge North American Series. Andy is a Deep Learning Data Scientist at Intel and Emile is Senior Manager of Marketing Partnerships at the company. In this show, Emile gives us a high-level overview of the Ferrari Challenge partnership and the goals of the collaboration. Andy & I then dive into the AI aspects of the project, including how the training data was collected, the techniques they used to perform fine-grained object detection in the video streams, how they built the analytics platform, some of the remaining challenges with this project, and more! Be sure to check out some of the great names that will be at the AI Conference in New York, Apr 29–May 2, where you'll join the leading minds in AI, Peter Norvig, George Church, Olga Russakovsky, Manuela Veloso, and Zoubin Ghahramani. Explore AI's latest developments, separate what's hype and what's really game-changing, and learn how to apply AI in your organization right now. Save 20% on most passes with discount code PCTWIML at twimlai.com/ainy2018. Early price ends February 2! The notes for this show can be found at twimlai.com/talk/104. For complete contest details, visit twimlai.com/myaicontest. For complete series details, visit twimlai.com/aiathome.

This week on the podcast we’re featuring a series of conversations from the NIPs conference in Long Beach, California. I attended a bunch of talks and learned a ton, organized an impromptu roundtable on Building AI Products, and met a bunch of great people, including some former TWiML Talk guests. In this episode i'm joined by Sara Jennings, Timothy Seabrook and Andres Rodriguez to discuss NASA’s Frontier Development Lab or FDL. The FDL is an intense 8-week applied AI research accelerator, focused on tackling knowledge gaps useful to the space program. In our discussion, Sara, producer at the FDL, provides some insight into its goals and structure. Timothy, a researcher at FDL, describes his involvement with the program, including some of the projects he worked on while on-site. He also provides a look into some of this year’s FDL projects, including Planetary Defense, Solar Storm Prediction, and Lunar Water Location. Last but not least, Andres, Sr. Principal Engineer at Intel's AIPG, joins us to detail Intel’s support of the FDL, and how the various elements of the Intel AI stack supported the FDL research. This is a jam packed conversation, so be sure to check the show notes page at twimlai.com/talk/89 for all the links and tidbits from this episode.

In this episode of the ARCHITECHT AI Show, co-host Derrick Harris speaks with Naveen Rao, VP and GM of the AI Products Group at Intel. Rao, who previously co-founded Nervana Systems, discusses Intel's broad base of AI business lines -- from driverless cars to data centers -- and where the company sees the biggest opportunities to capitalize on the technology. If you're into the nitty gritty of chip architectures and AI frameworks, Rao also drops a lot of knowledge on how they've changed and where they're headed.

Dr. Mark Gianturco, Chief Technology Officer for the National Center for Missing & Exploited Children (NCMEC), joins us live from the Intel AI Lounge at SXSW 2017. NCMEC serves as a national clearinghouse for data about missing and exploited children and has closed more than 220,000 missing children cases since 1984. Its CyberTipline has fielded more than 16 million tips about exploited children since 1998, with 15 million tips arriving in just the last four years. NCMEC has teamed with Intel and other industry partners to use technologies like artificial intelligence, deep learning, and enterprise data management to help more children more quickly. In this interview, Gianturco discusses NCMEC's work, how Intel is helping, what the future holds, and how you can support NCMEC's mission to help find missing children, reduce child sexual exploitation, and prevent child victimization. To learn more about NCMEC or support their work, please visit http://www.missingkids.com/.

Michelle Bacharach, CEO and Co-Founder of FINDMINE, joins us live from the Intel AI Lounge at SXSW 2017. FINDMINE's "Complete the Look" SaaS uses AI and IoT to intelligently bundle products into outfits, answering the question "How do I wear this?" in real-time more than 4.5 million times per day. In this interview, Bacharach talks about why and how she started FINDMINE, the technologies FINDMINE employs to teach algorithms to create outfits that humans will wear, and her approach to solving business problems with cutting edge technologies. For more information on FINDMINE, please visit https://www.findmine.com/ and follow them on Twitter at https://twitter.com/findmineus. For more information on how Intel AI and IoT solutions are enhancing shopping experiences, please visit http://intel.ly/2nQEr9r.

Bryce Olson, Global Marketing Director for the Health and Life Sciences Group at Intel, joins us live from the Intel AI Lounge at SXSW. Olson's unique journey to Intel's HLS Group began with his own stage IV cancer diagnosis. Wanting to work in healthcare, Olson joined Intel HLS, where technologies like genomics and precision medicine "blew [his] mind and changed the whole course of [his] life." Armed with knowledge of cutting-edge treatments that target molecular drivers of cancer, Olson insisted on DNA sequencing and used the results to gain access to a perfect-fit drug trial that shut down his cancer. Olson is now raising awareness for this new way to fight cancer through a new movement called FACTS (Fighting Advanced Cancer Through Songs). Donations (http://intel.ly/2oy6niZ) and a large portion of net proceeds from their first album (http://intel.ly/2oyUf0G) will go towards enabling greater patient expansion into cutting-edge precision medicine trials. In this interview, Olson talks about his own precision medicine journey, helping more people gain access to precision medicine, and how Intel AI will power a new era of cancer discoveries and therapies. To learn more about Intel's work in precision medicine, please visit http://intel.ly/2mVsuLE. To learn more about how you can help increase access to precision medicine trials, please visit http://www.factsmovement.com and follow Olson on Twitter at http://twitter.com/bryceolson and on Facebook at https://www.facebook.com/FACTSmovement/.

Eépisode chargé en sujets: langages, web, data, big data, sécurité, organisation sans oublier Donald (pas le neveu de Picsou). Merci à Saagie pour leur aide ! Enregistré le 15 février 2017 Téléchargement de l’épisode LesCastCodeurs-Episode–163.mp3 News Langages Les nouveautés de Java Time dans Java SE 9 Jigsaw et les automodules on vous aura prévenu … Groovy is the new black Francesc Campoy qui donne une overview de Go 1.8 Impact de la structure de l’API sur les performance - Go et logging Les tags du week-end sur Stack Overflow Web Le top 2016 du Javascript : Basé sur les étoiles github Basé sur un sondage Front: Vue.Js au top Build : Grunt est mort, Gulp en baisse et Webpack devient la référence. IDE : Visual Studio Code et Atom La : Jasmine et Mocha toujours là, AVA et Jest sont les nouveaux. Gros impact de facebook! Déployer une application Ratpack sur Google App Engine Flex Les 10 meilleurs frameworks web Java de 2017 Performance de démarrage de JavaScript (optionnel) Retour sur React Native par Instagram Middleware Hazelcast lance Jet, un stream processing engine OSS MiniShift: deploiement local pour OpenShift Les produits Google résumés en 4 mots gRPC chez la Cloud Native Computing Foundation Bean Validation 2.0 early draft La spec MVC, transférée à Ivar Grimstad Data Ransomware contre Elasticsearch Google lance son Cloud Spanner, sa supra base de données distribuée ACID Google Cloud Spanner viole-t-il le théorême de CAP? Google Cloud Spanner Post-mortem ReThinkDB ReThinkDB rejoins la fondation Linux et CNCF Réécrire son appli RethinkDB avec PostgreSQL PostgreSQL capable de traiter plein de use cases différents Spark 2.1 Kudu 1.2 Investissement en cours sur la Data Gouvernance Intel Big DL, grosse bataille Intel versus NVidia sur le Deep Learning : Les slides de Intel AI la réponse de Nvidia Construiser votre CSS avec du Deep Learning Jeff Dean sur l’état du Machine Learning aujourd’hui Jeff Dean sur Tensorflow Article du New York Times sur l’intelligence artificielle et Google Brain Podcast Big Data (et autre) : Roaring Elephant Podcast Software Engineering Daily Saagie Saagie est une start-up éditeur dans le Big Data. Bon tout le monde parle de Big Data et c’est un peu le mot à la mode, mais chez Saagie nous faisons vraiment du BIG DATA. Nous éditons Saagie Data Fabric pour industrialiser les mises en production de big data et de data science (Data Fabric ~ Plateforme de développement Data) avec l’option Saagie Data Governance pour organiser votre lac de données. L’ensemble est déployable sur notre cloud, sur amazon ou azure et via notre appliance avec option Deep Learning et HPC. Les postes ouverts Sécurité Retour de la FIC DevOps Rise of the ChatOps : Netflix Hub Commander Hubot GitLab et ses backups Open Source Github annonce les guides OSS pour aider à monter/contribuer à l’OSS Open Source Guides Organisation/Agile Talk Beyond breaking bad noproject Je n’embauche jamais de poisson panné par Quentin Adam Rise of the Data Engineer Outillage Utiliser Ngrok, Google Cloud Functions, API.AI pour faire des bots Microsoft annonce un Git File System Jenkins Declarative Pipeline 1.0 (+ Pipeline Editor Preview) et SCM API 2.0 Des slides HTML en Markdown exportés en PDF Société La France introduit des visas particuliers pour les entrepreneurs D’un trait de plume Donald Trump manque de faire exploser le Privacy Shield Outil de l’épisode JVM mon Conférences Quelques conseils pour écrire une proposition de conférence 10-ways-for-a-conference-to-upset-their-speakers - Troy Hunt 10-ways-for-speaker-to-upset-conference - Nicolas Deloof Le ParisJUG se lance dans adopt-a-JSR: un message en crowdcast 15 mars 2017 : soirée Hands-on / Hackergarten sur Jigsaw, animée par Rémi Forax et l’équipe du Paris JUG. le site du Paris JUG le twitter : @ParisJUG les détails des soirées et la liste de ce qu’il faudra installer sur son portable pour la partie Hands-on / Hackergarten seront publiés sur le site du Paris JUG. page communautaire d’écrivant le programme Adopt a JSR blog d’oracle annonçant le programme Adopt a JSR Salon Big Data Paris les 5–6 mars 2017 Printemps Agile le 9 mars 2017 Devoxx France les 5–7 avril 2017 Mix-IT les 20–21 avril 2017 Breizhcamp les 19–21 avril 2017 RivieraDev les 11–12 mai 2017 DevFest Lille 9 juin - inscriptions et CfP ouvert Voxxed Days au Luxembourg Nous contacter Faire un crowdcast ou une crowdquestion Contactez-nous via twitter https://twitter.com/lescastcodeurs sur le groupe Google https://groups.google.com/group/lescastcodeurs ou sur le site web https://lescastcodeurs.com/ Flattr-ez nous (dons) sur https://lescastcodeurs.com/ En savoir plus sur le sponsoring? sponsors@lescastcodeurs.com  

Michael Draugelis, Chief Data Scientist for Penn Medicine, joins us live from Intel AI Day. Penn Medicine's Penn Signals big data platform harnesses machine learning and a data lake of more than three million patient records to identify potential health issues before they can be detected by traditional means. In this interview, Draugelis discusses why Penn Medicine has a Chief Data Scientist, how Penn Medicine's data scientists and clinicians are working together to improve patient outcomes, and how Intel's Trusted Analytics Platform (TAP) is facilitating collaboration across institutions and data standards. For more information on Draugelis' and Penn Medicine's work in AI, please visit http://www.med.upenn.edu/predictivehealthcare/ and follow Draugelis on Twitter at http://twitter.com/mdraugelis.

Dr. Bob Rogers, Chief Data Scientist for Analytics and Artificial Intelligence Solutions at Intel, joins us to discuss shifting the conversation from big data to artificial intelligence. Intel is unleashing the next wave of AI by delivering advances in compute capacity, algorithm sophistication, and data availability. In this interview, Dr. Rogers theorizes that AI will bring forth not a "rise of the machines," but instead a "rise of the humans," as AI continues to augment human capabilities through intelligent systems like Google Search. Dr. Rogers additionally talks about the ways that the data scientists of today and tomorrow can engage with Intel AI to "bring data to the people." For more information on Dr. Rogers' work, please visit http://intel.com/machinelearning, check out his recent IT Peer Network post, "Rise of the Humans: Augmenting Human Capabilities with Artificial Intelligence" (http://intel.ly/2fM4Guw) and follow him on Twitter at http://twitter.com/scientistbob.