Podcasts about deepmind technologies

There is no more consequential technological development in recent years than widely accessible artificial intelligence. And there are few more consequential contemporary figures in the artificial intelligence field than Mustafa Suleyman, who is the co-founder of DeepMind Technologies, an early leading artificial intelligence firm later bought by Google, and more recently, co-founder of Inflection AI, a firm devoted to personalizing artificial intelligence.Jack Goldsmith sat down with Suleyman to talk about his new and somewhat frightening book, “The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma,” which is his take on the novel threats posed by artificial intelligence and synthetic biology. They focused on the artificial intelligence components of the book, discussing AI's promises—and especially its dangers—to both individuals and the state, and what governments and firms can realistically do to redress the dangers.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

Biology and AI for predicting protein structure. This is a chat with conversation with some members of the Rost lab  at the Technical University of Munich. Dr. Maria Littmann, postdoctoral fellow, and PhD students Konstantin Weissennow and Michael Heinzinger and Dr Burkhard Rost, principal investigator.  We talked about AlphaFold, a computational approach from DeepMind Technologies that has changed the way and the speed at which proteins can be predicted. 

Proteins are twirly, curly, dynamic structures. Crucial for life, complicated to study. Predicting protein structure has been tough but it's now easier as AlphaFold enters the scene. That doesn't mean that AlphaFold has solved all challenges, of course. AlphaFold was developed by DeepMind Technologies, a company that was bought by Google in 2014. Lots of protein puzzles remain. Dr. Janet Thornton from the European Bioinformatics Institute and Dr David Jones of University College London talk about what AlphaFold can do and what it cannot yet do. They look forward, backward and all around on this subject. He says, laughing, he has "extreme cautious optimism" about the prospects of this field. You can also find my feature story about protein structure prediction, which is the Nature Methods method of the year for 2021, here: https://www.nature.com/articles/s41592-021-01359-1 

Today I am chatting with Stephen Allott, a Trinity College Cambridge Graduate, who began his eclectic career in entrepreneurship importing bicycle locks while at law school. Plotting his “great escape”, he veered into the technological space, and introduced web processing and online legal databases into chambers in the UK.    He has worked at McKinsey as a strategy consultant solving complex business problems, and has scaled network management software company Micromuse to 800 employees, taking it to IPO on NASDAQ.   No doubt having lead a highly successful entrepreneurial career, he is now a venture partner at Seedcamp, a venture capital fund with 4 unicorns to its name. He has an incredible breath of experience and has scaled companies, built teams and solved complex problems across areas as varied as sales funnels to fundraising to organisational design to corporate strategy.   This episode is simultaneously enlightening, impressive and funny.   In this episode you will learn about:  How to scale a company The one skill that work wonders for you in business Why the tech space is so important The future of technology How to recruit great talent What makes a good salesperson And so much more…   Follow Stephen's Work! Seedcamp: www.seedcamp.com Sales Tales: https://medium.com/@stephenallott   Stephen also set up a non-profit called Cambridge Ring to back companies started by Cambridge University Computer Science and Technology graduates. He spent three years setting this up pro bono as a passion project.   It's massively underestimated. The market capitalisation of their Hall of Fame is about $30 billion.    Some of its greatest successes include DeepMind Technologies, which was bought by Google, Raspberry Pi, and ARM, which is the most common chip architecture in the world.   You can check it out here: https://www.cst.cam.ac.uk/ring   Connect with me on Instagram: https://www.instagram.com/yasminarte/   I conducted this interview on behalf of CUE (Cambridge University Entrepreneurs) You can check them out here: https://www.cue.org.uk/    Edited by the wonderful Jake Babineau. You could say he's an audio genie. He's also a great musician with a crazy podcastable voice — he composed my intro! Check him out on instagram: https://www.instagram.com/jake_babineau/ Music taken from the ending of his song ‘On The Cold Tile Floor': https://bit.ly/2KQGZhN             

Hosted by Dr. Richard Shurtz and Jim Russ. Sponsored by Stratford University. Today: using your phone to perfectly capture that sunset. And we meet the co-founder of Deepmind Technologies, an artificial intelligence startup purchased by Google.

iCloud photo uploads (make Wi-Fi only), two-factor authentication (save backup code), computer failure due to overheating (clean vents, check fan), verify backup files (before you need them), Profiles in IT (Demis Hassibis, co-founder of Deepmind Technologies), cryptocurrency meltdown (market cap dropped $100B), Meltdown and Spectre malware (found in the wild, Intel patch still not complete), NASA finds lost satellite (but lost communications software and hardware), fitness app reveals remote military bases (cloud-based data leaves troops vulnerable), Wordpress websites infected (2,000 sites with keylogger and cryptocurrency mining software), ATM jackpotting hits US(hacked machines dispense bills on demand), Alexa wont light up during Superbowl ads, and ancient Mayan city found in Guatamala jungle (Lidar was the key to penetrating jungle vegetation). This show originally aired on Saturday, February 3, 2018, at 9:00 AM EST on WFED (1500 AM).

iCloud photo uploads (make Wi-Fi only), two-factor authentication (save backup code), computer failure due to overheating (clean vents, check fan), verify backup files (before you need them), Profiles in IT (Demis Hassibis, co-founder of Deepmind Technologies), cryptocurrency meltdown (market cap dropped $100B), Meltdown and Spectre malware (found in the wild, Intel patch still not complete), NASA finds lost satellite (but lost communications software and hardware), fitness app reveals remote military bases (cloud-based data leaves troops vulnerable), Wordpress websites infected (2,000 sites with keylogger and cryptocurrency mining software), ATM jackpotting hits US(hacked machines dispense bills on demand), Alexa wont light up during Superbowl ads, and ancient Mayan city found in Guatamala jungle (Lidar was the key to penetrating jungle vegetation). This show originally aired on Saturday, February 3, 2018, at 9:00 AM EST on WFED (1500 AM).

Windows 10 Update failures (fixes), Cord Cutting Update (free streaming for movies and news), reducing cell phone bills (use prepaid plans), free Windows 10 upgrade (still possible), cell phone charging blocks (interchangeability), Netflix data usage (4K uses alot), Profiles in IT (Mustafa Suleyman, co-founder DeepMind Technologies), Idea of the Week (video game sound tracks to focus at work), ATT supports net neutrality (favors legislation rather than FCC regulation), ICE to use license plate tracking (using nationwide network), ransom ware attacks less frequent (users are backing up files), Japanese cryptocurrency heist (US$400M), Facebook staff interviewed by Mueller, and texting while driving (expect insurance rate hike). This show originally aired on Saturday, January 27, 2018, at 9:00 AM EST on WFED (1500 AM).

Windows 10 Update failures (fixes), Cord Cutting Update (free streaming for movies and news), reducing cell phone bills (use prepaid plans), free Windows 10 upgrade (still possible), cell phone charging blocks (interchangeability), Netflix data usage (4K uses alot), Profiles in IT (Mustafa Suleyman, co-founder DeepMind Technologies), Idea of the Week (video game sound tracks to focus at work), ATT supports net neutrality (favors legislation rather than FCC regulation), ICE to use license plate tracking (using nationwide network), ransom ware attacks less frequent (users are backing up files), Japanese cryptocurrency heist (US$400M), Facebook staff interviewed by Mueller, and texting while driving (expect insurance rate hike). This show originally aired on Saturday, January 27, 2018, at 9:00 AM EST on WFED (1500 AM).

Zhifei Li, founder of Chinese artificial intelligence firm Mobvoi, once joked in a Wechat post that the best business model for a Chinese AI company was to become an Internet celebrity via smart marketing and then pivot to become an e-commerce firm. But, he added self-deprecatingly, "because I'm not handsome enough and my Mandarin is terrible, I choose to sell premium hardware powered by our own proprietary AI technology." Behind the joke, however, lies Li's personal struggle to answer the billion-dollar question: What is the ideal business model for a successful AI company? A native of China's Hunan province, Li still speaks with a slight accent when China Money Network recently visited Mobvoi's Beijing headquarters. But there was no ambiguity in his conviction. "Our strategy is to develop the core voice recognition technology and then apply them to different hardware scenarios, where the technology makes sense for users," the former Google scientist with a computer science Ph.D. from John Hopkins University told China Money Network. "We are an AI company...(and) have the capability to combine algorithm, software and hardware all together." Mobvoi, a name derived from combining the first three letters of "mobile" and "voice", is among the leading players of a new pack of Chinese AI companies that are primarily focused on the so-called AI application layer. Instead of drilling deep into AI technology research, such as DeepMind Technologies, the vast majority of Chinese AI companies - 71% to be specific - are focused on generating real returns from applied artificial intelligence, according to a recent report released by Vertex Holdings, a member of Singapore's Temasek Holdings. This means Chinese AI companies have struggled with the brutal "business model" question for longer and deeper than their American peers, of which only 44% are application focused, according to a Tencent study. Discarding invalid answers (Li's Wechat post featured the survey choice "Continue painting an ever brighter picture for VCs to raise more money", which got the most votes from his friends), the choices for AI companies include: 1. Provide AI technology solutions to enterprises for a fee; 2. Go downstream to smart hardware. For Li, the first choice is abhorrently lousy. In option one, the only way to scale up is to try to grab more orders from enterprises, which inevitably leads to price competition and margin compression. Not to mention that Chinese technology giants such as Baidu, Alibaba and Tencent (BAT) could offer such services for free. In fact, a company in this camp, Face++, already provides free basic face and image recognition technology, while charging a fee for premium services, in a freemium (free+premium) model. As a veteran researcher with over a decade of experience first at the Natural Language Processing Lab of John Hopkins University and later on Google's translation team, Li believes he and his team's AI technology experience put Mobvoi at an advantage compared to other Chinese hardware makers. Other benefits of the software-hardware combo approach include brand awareness by end-users, potential to grow exponentially, and various ways to monetize the hardware. Investors seem ready to buy Li's vision. Having secured US$250 million in financing from Volkswagen Group China, Google, Sequoia Capital’s angel investment unit, SIG Asia Investment and others, Mobvoi is reportedly valued at a near-unicorn level, or approaching US$1 billion. Declining to disclose the company's valuation, Li prefers to explain his philosophy on what an AI company must do to survive and thrive. "If you want to make an AI company successful, you have to have products and integrate the technology in the products," Li said while flashing Mobvoi's Ticwatch S smart watch on his wrist. Mobvoi's first step of re-tooling itself to shift from being a voice interaction mobile app maker to a hardware developer came in 2015,