Podcast appearances and mentions of Andrew Feldman

Andrew Feldman is the Co-Founder and CEO @ Cerebras, the fastest AI inference + training platform in the world. In Sept 2024 the company filed to go public off the back of a rumoured $1BN deal with G42 in the UAE. Andrew is the leading expert for all things inference.  In Today's Episode We Discuss: 04:23 Where Was AI Landscape in 2015 When Cerebras Founded 05:57 NVIDIA's Biggest Strength Has Become Their Biggest Weakness 07:09 What Happens to the Cost of Inference? 08:55 Why Are AI Algorithms So Inefficient? 20:30 Why is it Total BS That We Have Hit Scaling Laws? 23:07 What Will Be the Ratio of Synthetic to Human Data Used in 5 Years? 31:37 What Specifically Was So Impressive About Deepseek? 31:51 Why is Distillation Not Wrong and OpenAI Need to Look in the Mirror? 32:34 Where Will Value Accrue in a World of AI? 34:08 How Will NVIDIA's Market Position Change Over the Next Five Years? 39:59 Why is the CUDA Lockin for NVIDIA BS? What is Their Weakness? 40:46 Why is Trump Better for Business than Biden? 49:41 Do We Underestimate China in a World of AI? 52:33 What is the Most Underappreciated Segment of AI? 54:00 Quickfire Round  

Forbes Assistant Managing Editor Katharine Schwab talks with Cerebras Systems' CEO and cofounder Andrew Feldman about his startup's AI chip, the impact of China's DeepSeek and its implications for the global AI landscape.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This episode is sponsored by Shopify.  Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you're selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons.   Sign up for a $1 per month trial period at http://shopify.com/eyeonai In this episode of the Eye on AI podcast, Andrew D. Feldman, Co-Founder and CEO of Cerebras Systems, unveils how Cerebras is disrupting AI inference and high-performance computing.   Andrew joins Craig Smith to discuss the groundbreaking wafer-scale engine, Cerebras' record-breaking inference speeds, and the future of AI in enterprise workflows. From designing the fastest inference platform to simplifying AI deployment with an API-driven cloud service, Cerebras is setting new standards in AI hardware innovation.   We explore the shift from GPUs to custom architectures, the rise of large language models like Llama and GPT, and how AI is driving enterprise transformation. Andrew also dives into the debate over open-source vs. proprietary models, AI's role in climate mitigation, and Cerebras' partnerships with global supercomputing centers and industry leaders.   Discover how Cerebras is shaping the future of AI inference and why speed and scalability are redefining what's possible in computing.   Don't miss this deep dive into AI's next frontier with Andrew Feldman.   Like, subscribe, and hit the notification bell for more episodes! Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Intro to Andrew Feldman & Cerebras Systems (00:43) The rise of AI inference (03:16) Cerebras' API-powered cloud (04:48) Competing with NVIDIA's CUDA (06:52) The rise of Llama and LLMs (07:40) OpenAI's hardware strategy (10:06) Shifting focus from training to inference (13:28) Open-source vs proprietary AI (15:00) AI's role in enterprise workflows (17:42) Edge computing vs cloud AI (19:08) Edge AI for consumer apps (20:51) Machine-to-machine AI inference (24:20) Managing uncertainty with models (27:24) Impact of U.S.–China export rules (30:29) U.S. innovation policy challenges (33:31) Developing wafer-scale engines (34:45) Cerebras' fast inference service (37:40) Global partnerships in AI (38:14) AI in climate & energy solutions (39:58) Training and inference cycles (41:33) AI training market competition  

A race to deliver the fastest AI system is emerging, resulting in a crop of new companies with innovative approaches to AI processing. Cerebras returns to the Tech Disruptors podcast studios to discuss the broadening AI market opportunity for its wafer scale engine (WSE) chip. CEO Andrew Feldman sits down with Bloomberg Intelligence Senior Hardware analyst Woo Jin Ho to discuss the future evolution of AI compute and how Cerebras aims to leverage the WSE-3 processor to unlock the $40 billion inference market by delivering AI responses 20x faster at one-fifth price of hyperscale cloud.

In this episode of Gradient Dissent, Andrew Feldman, CEO of Cerebras Systems, joins host Lukas Biewald to discuss the latest advancements in AI inference technology. They explore Cerebras Systems' groundbreaking new AI inference product, examining how their wafer-scale chips are setting new benchmarks in speed, accuracy, and cost efficiency. Andrew shares insights on the architectural innovations that make this possible and discusses the broader implications for AI workloads in production. This episode provides a comprehensive look at the cutting-edge of AI hardware and its impact on the future of machine learning.✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz

At a drinks party in around 2011 or 2012, I had the ear of Andrew Feldman, aka Baron Feldman of Elstree, former Chairman of the Conservative Party—he of “swivel-eyed loons” fame, though he never actually said that. (Andrew is a friend, by the way.)“Tell George Osborne to buy back the gold Gordon Brown sold,” I advised.“At these prices?” smiled Andrew with a mix of incredulity, amusement, and polite condescension.“Yes!” I said. “It might be good publicity, even. Or do it secretly, and announce it afterward. The important thing is getting the gold back. We will need it at some point. Why not just quantitatively ease the money and buy it back? You're doing that and buying bonds.”Andrew laughed at my joke, which wasn't a joke, and then wandered off in search of someone more sane to talk to.Given the government has this extraordinary power to create money out of nothing, why don't they just print money and buy hard assets with it?Park that thought for a moment.A couple of months ago, I was at Liz Truss's book launch—aren't you impressed with all this name-dropping?—and I ran into Mark Littlewood, former director of the IEA and now of PopCon. I started bending his ear about the media's failure to report on the Bank of England and how it had shafted Truss with its advanced notice of gilt sales, Quantitative Tightening, which began the day before Kwasi Kwarteng's budget and led to a collapse in the gilt market, the blame for which was then left at Kwasi Kwarteng's doorstep. Mark nodded. “Do you think I don't know?” said Liz.“I would love to be able to grill Andrew Bailey in public,” I said. “Or just ask him one question with people watching. I know exactly what I'd ask him.”“What?” said Mark.“If the Bank of England can print money, why do we need taxes?”Mark laughed and, thinking I was asking him that question, replied, “Money illusion.”Charlie Morris is one of my closest mates and he writes what I think is one of the best investment newsletters out there, in fact a suite of them. I urge you to sign up for a free trial.Money illusion is one of those economic terms that is pretty self-explanatory, but here is an example. Most of know a hundred pounds does not buy you today what it bought you ten years ago, but we still think in terms of past prices. (Old people do this more, for obvious reasons). A worker might feel great with a 5% raise, but if inflation is 7%, he is actually earning less than before. This has been an ongoing process for decades with the result that, in real terms, wages are lower.Here's the Wikipedia definition (edited by me):In economics, money illusion, or price illusion, is a cognitive bias where money is thought of in nominal, rather than real, terms. In other words, the face value (nominal value) of money is mistaken for its purchasing power (real value) at a previous point in time. The term was coined by Irving Fisher in Stabilizing the Dollar, and popularized by John Maynard Keynes in the early twentieth century. Fisher also wrote a book on the subject, The Money Illusion, in 1928.Mark and I both doubted that Bailey would give that as the answer, even if he thought it, which we doubted he would. If governments started printing money and buying assets, many would start questioning money, and faith in fiat might quickly evaporate. If governments worldwide started doing it (eg Britain prints money and starts buying land in France) you are in race-to-the-bottom territory. It would be a race to the bottom for fiat currency.Even if Bailey thought money illusion was the answer, he certainly wouldn't say it because that in itself undermines fiat.Modern money has nominal value, but not intrinsic value. It relies on illusion (and the law) to function. The more you debase it, the less likely that illusion is to hold. Maybe money delusion is more accurate. Obviously, the backing of the law makes a great difference, as does the fact that taxes must be collected in this money, but, boy, is the system vulnerable. Illusions can last a long time. But when they shatter, they shatter very quickly, and then there is nothing.I don't say the system will pop. It has been going on for a long time. But I do observe that it very easily could.It's why I recommend both gold and bitcoin. Both are money in and of themselves: one is the product of nature, the other the product of extraordinary amounts of computer power. Neither relies on anyone else.If you liked this article, please tell a friend.If you are interested in buying gold, check out my recent report. I have a feeling it is going to come in very handy.My recommended bullion dealer is the Pure Gold Company.Life After the State - Why We Don't Need Government (2013), my first book, is now back in print - with the audiobook here: Audible UK, Audible US, Apple Books. I recommend the audiobook ;)And if you are in the Scottish neck of the woods this August, look out for me at the Edinburgh Fringe. I'll be performing one of my “lectures with funny bits”. This one is all about the history of mining. As always, I shall be delivering it at Panmure House, where Adam Smith wrote Wealth of Nations. It's at 2pm most afternoons. You can get tickets here. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.theflyingfrisby.com/subscribe

At a drinks party in around 2011 or 2012, I had the ear of Andrew Feldman, aka Baron Feldman of Elstree, former Chairman of the Conservative Party—he of “swivel-eyed loons” fame, though he never actually said that. (Andrew is a friend, by the way.)“Tell George Osborne to buy back the gold Gordon Brown sold,” I advised.“At these prices?” smiled Andrew with a mix of incredulity, amusement, and polite condescension.“Yes!” I said. “It might be good publicity, even. Or do it secretly, and announce it afterward. The important thing is getting the gold back. We will need it at some point. Why not just quantitatively ease the money and buy it back? You're doing that and buying bonds.”Andrew laughed at my joke, which wasn't a joke, and then wandered off in search of someone more sane to talk to.Given the government has this extraordinary power to create money out of nothing, why don't they just print money and buy hard assets with it?Park that thought for a moment.A couple of months ago, I was at Liz Truss's book launch—aren't you impressed with all this name-dropping?—and I ran into Mark Littlewood, former director of the IEA and now of PopCon. I started bending his ear about the media's failure to report on the Bank of England and how it had shafted Truss with its advanced notice of gilt sales, Quantitative Tightening, which began the day before Kwasi Kwarteng's budget and led to a collapse in the gilt market, the blame for which was then left at Kwasi Kwarteng's doorstep. Mark nodded. “Do you think I don't know?” said Liz.“I would love to be able to grill Andrew Bailey in public,” I said. “Or just ask him one question with people watching. I know exactly what I'd ask him.”“What?” said Mark.“If the Bank of England can print money, why do we need taxes?”Mark laughed and, thinking I was asking him that question, replied, “Money illusion.”Money illusion is one of those economic terms that is pretty self-explanatory, but here is an example. Most of know a hundred pounds does not buy you today what it bought you ten years ago, but we still think in terms of past prices. (Old people do this more, for obvious reasons). A worker might feel great with a 5% raise, but if inflation is 7%, he is actually earning less than before. This has been an ongoing process for decades with the result that, in real terms, wages are lower.Here's the Wikipedia definition (edited by me):In economics, money illusion, or price illusion, is a cognitive bias where money is thought of in nominal, rather than real, terms. In other words, the face value (nominal value) of money is mistaken for its purchasing power (real value) at a previous point in time. The term was coined by Irving Fisher in Stabilizing the Dollar, and popularized by John Maynard Keynes in the early twentieth century. Fisher also wrote a book on the subject, The Money Illusion, in 1928.Mark and I both doubted that Bailey would give that as the answer, even if he thought it, which we doubted he would. If governments started printing money and buying assets, many would start questioning money, and faith in fiat might quickly evaporate. If governments worldwide started doing it (eg Britain prints money and starts buying land in France) you are in race-to-the-bottom territory. It would be a race to the bottom for fiat currency.Even if Bailey thought money illusion was the answer, he certainly wouldn't say it because that in itself undermines fiat.Modern money has nominal value, but not intrinsic value. It relies on illusion (and the law) to function. The more you debase it, the less likely that illusion is to hold. Maybe money delusion is more accurate. Obviously, the backing of the law makes a great difference, as does the fact that taxes must be collected in this money, but, boy, is the system vulnerable. Illusions can last a long time. But when they shatter, they shatter very quickly, and then there is nothing.I don't say the system will pop. It has been going on for a long time. But I do observe that it very easily could.It's why I recommend both gold and bitcoin. Both are money in and of themselves: one is the product of nature, the other the product of extraordinary amounts of computer power. Neither relies on anyone else.If you liked this article, please tell a friend.If you are interested in buying gold, check out my recent report. I have a feeling it is going to come in very handy.My recommended bullion dealer is the Pure Gold Company.Life After the State - Why We Don't Need Government (2013), my first book, is now back in print - with the audiobook here: Audible UK, Audible US, Apple Books. I recommend the audiobook ;)And if you are in the Scottish neck of the woods this August, look out for me at the Edinburgh Fringe. I'll be performing one of my “lectures with funny bits”. This one is all about the history of mining. As always, I shall be delivering it at Panmure House, where Adam Smith wrote Wealth of Nations. It's at 2pm most afternoons. You can get tickets here. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.theflyingfrisby.com/subscribe

Cerebras recently announced the launch of The Wafer Scale Engine Three. This is the largest and fastest chip in the history of chips.  This week on Generative Now, Lightspeed Partner and host Michael Mignano talks to Andrew Feldman. Andrew is the CEO and cofounder of Cerebras, the hardware company that builds AI supercomputers known for its Wafer Scale Technology. The Wafer Scale Engine Three is about the size of a dinner plate and promises compute design for AI. Andrew and Michael talk about what it takes to have the conviction to make big bets and push the limits of hardware innovation. Prior to Cerebras, Andrew co-founded and was CEO of SeaMicro, a pioneer of energy-efficient, high-bandwidth microservers. SeaMicro was acquired by AMD in 2012 for $357M. Before SeaMicro, Andrew was the Vice President of Product Management, Marketing and BD at Force10 Networks which was later sold to Dell Computing for $800M. Prior to Force10 Networks, Andrew was the Vice President of Marketing and Corporate Development at RiverStone Networks from the company's inception through IPO in 2001. Episode Chapters(00:00) Welcome to Generative: A Deep Dive into AI Supercomputing(00:26) The Wafer Scale Engine 3(00:56) Andrew Feldman's Journey: From Startup to AI Supercomputing Pioneer(04:53) The Foresight in AI Chip Development: Outpacing the Giants(07:32) The Wafer Scale Engine 3: A Technological Leap in AI Compute(17:12) The Future of AI Compute: Expanding Horizons and Synthetic Data(23:18) Challenges in Chip Design(23:51) Innovations in Cooling and Powering Chips(25:02) Overcoming Precedent Challenges(26:40) The Revolutionary Impact of Wafer Scale Engine 3(29:08) Diverse Customer Applications(34:05) Future Directions in Chip Technology and AI Applications(39:11) Closing Thoughts Stay in touch: ⁠www.lsvp.com⁠ X: ⁠https://twitter.com/lightspeedvp⁠ LinkedIn: ⁠https://www.linkedin.com/company/lightspeed-venture-partners/⁠ Instagram: ⁠https://www.instagram.com/lightspeedventurepartners/⁠ Subscribe on your favorite podcast app: ⁠generativenow.co⁠ Email: generativenow@lsvp.com

The GPU supply crunch is causing desperation amongst AI teams large and small. Cerebras Systems has an answer, and it's a chip the size of a dinner plate. Andrew Feldman, CEO and Co-founder of Cerebras and previously SeaMicro, joins Sarah Guo and Elad Gil this week on No Priors. They discuss why there might be an alternative to Nvidia, localized models and predictions for the accelerator market. Show Links:  Andrew Feldman - Cerebras CEO & Co-founder | LinkedIn   Cerebras Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @andrewdfeldman Show Notes:  (0:00:00) - Cerebra Systems CEO Discusses AI Supercomputers (0:07:03) - AI Advancement in Architecture and Training (0:16:58) - Future of AI Accelerators and Chip Specialization (0:26:38) - Scaling Open Source Models and Fine-Tuning

This raunchy R rated comedy was co written and directed by Gene Stupnitsky and stars Jennifer Lawrence, Andrew Feldman, Natalie Morales & Matthew Broderick. In this film, a 32 year old woman accepts an offer from a rich family to date their shy 19 year old son before he leaves for college in order to boost his confidence and make him more outgoing. This film was also produced by Lawrence after Sony Pictures won a bidding war for the rights to the film. The film had a summer theatrical release and was then dropped on streaming services earlier this month.

Thanks to the over 1m people that have checked out the Rise of the AI Engineer. It's a long July 4 weekend in the US, and we're celebrating with a podcast feed swap!We've been big fans of Nathan Labenz and Erik Torenberg's work at the Cognitive Revolution podcast for a while, which started around the same time as we did and has done an incredible job of hosting discussions with top researchers and thinkers in the field, with a wide range of topics across computer vision (a special focus thanks to Nathan's work at Waymark), GPT-4 (with exceptional insight due to Nathan's time on the GPT-4 “red team”), healthcare/medicine/biotech (Harvard Medical School, Med-PaLM, Tanishq Abraham, Neal Khosla), investing and tech strategy (Sarah Guo, Elad Gil, Emad Mostaque, Sam Lessin), safety and policy, curators and influencers and exceptional AI founders (Josh Browder, Eugenia Kuyda, Flo Crivello, Suhail Doshi, Jungwon Byun, Raza Habib, Mahmoud Felfel, Andrew Feldman, Matt Welsh, Anton Troynikov, Aravind Srinivas). If Latent Space is for AI Engineers, then Cognitive Revolution covers the much broader field of AI in tech, business and society at large, with a longer runtime to go deep on research papers like TinyStories. We hope you love this episode as much as we do, and check out CogRev wherever fine podcasts are sold!Subscribe to the Cognitive Revolution on:* Website* Apple Podcasts* Spotify* YoutubeGood Data is All You NeedThe work of Ronen and Yuanzhi echoes a broader theme emerging in the midgame of 2023: * Falcon-40B (trained on 1T tokens) outperformed LLaMA-65B (trained on 1.4T tokens), primarily due to the RefinedWeb Dataset that runs CommonCrawl through extensive preprocessing and cleaning in their MacroData Refinement pipeline. * UC Berkeley LMSYS's Vicuna-13B is near GPT-3.5/Bard quality at a tenth of their size, thanks to fine-tuning from 70k user-highlighted ChatGPT conversations (indicating some amount of quality). * Replit's finetuned 2.7B model outperforms the 12B OpenAI Codex model based on HumanEval, thanks to high quality data from Replit usersThe path to smaller models leans on better data (and tokenization!), whether from cleaning, from user feedback, or from synthetic data generation, i.e. finetuning high quality on outputs from larger models. TinyStories and Phi-1 are the strongest new entries in that line of work, and we hope you'll pick through the show notes to read up further.Show Notes* TinyStories (Apr 2023)* Paper: TinyStories: How Small Can Language Models Be and Still Speak Coherent English?* Internal presentation with Sebastien Bubeck at MSR* Twitter thread from Ronen Eldan* Will future LLMs be based almost entirely on synthetic training data? In a new paper, we introduce TinyStories, a dataset of short stories generated by GPT-3.5&4. We use it to train tiny LMs (< 10M params) that produce fluent stories and exhibit reasoning.* Phi-1 (Jun 2023)* Paper: Textbooks are all you need (HN discussion)* Twitter announcement from Sebastien Bubeck:* phi-1 achieves 51% on HumanEval w. only 1.3B parameters & 7B tokens training dataset and 8 A100s x 4 days = 800 A100-hours. Any other >50% HumanEval model is >1000x bigger (e.g., WizardCoder from last week is 10x in model size and 100x in dataset size). Get full access to Latent Space at www.latent.space/subscribe

Tony Award-winner Laura Benanti joins The Art of Kindness with Robert Peterpaul to discuss the challenges of vulnerability in today's world, acts of kindness from Jennifer Lawrence on the set of No Hard Feelings, giving yourself grace as an artist and much more. Celebrated stage and screen actress Laura Benanti burst onto the scene at 18-years-old with a captivating performance as Maria in "The Sound of Music," on Broadway. Her talent was undeniable, setting the stage for a remarkable career. About a year after do-re-mi-ing... she earned a Tony Award nomination for her role in Swing! on Broadway. From there flowed a cascade of phenomenal performances and glittering awards, racking up 5 Tony noms total. She notably won the Drama Desk, Outer Critics Circle, and Tony Award in 2008 for a revelatory portrayal of Gypsy Rose Lee opposite Patti LuPone's Mama Rose in Stephen Sondheim's Gypsy. Other Broadway highlights include: her acclaimed starring role in of Women on the Verge of a Nervous Breakdown; originating the role of Julia in The Wedding Singer, starring opposite Antonio Banderas in Nine, and her acclaimed performance of Cinderella in Stephen Sondheim's Into the Woods. Most recently the star lit up Broadway in She Loves Me, My Fair Lady and Meteor Shower, which also starred her future TV collaborator Amy Schumer. Laura recently worked with Schumer onscreen in Hulu's Life & Beth... which brings us to her illustrious career on screen. I simply don't have time to name everything, but I'm gonna run by a bunch - let me just take a breath. *Inhale.* Ok... Laura's past television credits include staple shows like Law and Order: SVU, Royal Pains, The Big C, Nashville, and Elementary. She's had arcs on series like Supergirl, The Good Wife and Nurse Jackie. You may recognize her as Quinn on TV Land's hit show Younger and for her role in HBO Max's Gossip Girl reboot. Or perhaps she's Melania to you, thanks to Late Night with Stephen Colbert. On the film front, Laura's appeared in movies like Worth and Lin-Manuel Miranda's tick, tick... BOOM! on Netflix. She starred opposite Billy Crystal and Tiffany Haddish in the comedy Here Today. She also created and executive produced Homeschool Musical: Class of 2020 for HBO Max... or I guess MAX now? Which has such a beautiful origin story that we discuss. We also discuss Laura's latest movie No Hard Feelings, where she stars opposite the likes of Jennifer Lawrence, Andrew Feldman and Matthew Broderick. I mean from countless additional regional theatre credits to touring prestigious venues around the country with her concerts, Laura's resume is truly longer than a CVS receipt. Got kindness tips or stories? Please email us: artofkindnesspodcast@gmail.com Follow Laura @laurabenati Follow us @artofkindnesspod / @robpeterpaul Support the show! (https://www.buymeacoffee.com/theaok) Music: "Awake" by Ricky Alvarez & "Sunshine" by Lemon Music Studio. We are supported by the Broadway Podcast Network. Learn more about your ad choices. Visit megaphone.fm/adchoices

Andrew Feldman is CEO and co-founder of Cerebras, a startup that has released the fastest AI accelerator, based on the largest processor. We discussed Cerebras-GPT, a family of language models that have set new benchmarks for accuracy and compute efficiency, with sizes ranging from 111 million to 13 billion parameters.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

On this episode, we're joined by Andrew Feldman, Founder and CEO of Cerebras Systems. Andrew and the Cerebras team are responsible for building the largest-ever computer chip and the fastest AI-specific processor in the industry.We discuss:- The advantages of using large chips for AI work.- Cerebras Systems' process for building chips optimized for AI.- Why traditional GPUs aren't the optimal machines for AI work.- Why efficiently distributing computing resources is a significant challenge for AI work.- How much faster Cerebras Systems' machines are than other processors on the market.- Reasons why some ML-specific chip companies fail and what Cerebras does differently.- Unique challenges for chip makers and hardware companies.- Cooling and heat-transfer techniques for Cerebras machines.- How Cerebras approaches building chips that will fit the needs of customers for years to come.- Why the strategic vision for what data to collect for ML needs more discussion.Resources:Andrew Feldman - https://www.linkedin.com/in/andrewdfeldman/Cerebras Systems - https://www.linkedin.com/company/cerebras-systems/Cerebras Systems | Website - https://www.cerebras.net/Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.#OCR #DeepLearning #AI #Modeling #ML

Jennifer Lawrence produces and stars in No Hard Feelings, a laugh-out-loud, R-rated comedy from director Gene Stupnitsky (Good Boys) and the co-writer of Bad Teacher. Maddie (Lawrence) thinks she's found the answer to her financial troubles when she discovers an intriguing job listing: wealthy helicopter parents looking for someone to "date" their introverted 19-year-old son, Percy, and bring him out of his shell before he leaves for college. But awkward Percy proves to be more of a challenge than she expected, and time is running out. She has one summer to make him a man or lose it all. Directed By Gene Stupnitsky Written for the Screen by Gene Stupnitsky and John Phillips Cast: Jennifer Lawrence, Andrew Feldman, Laura Benanti, Natalie Morales and Matthew Broderick

Nathan Labenz sits down with Andrew Feldman, CEO and Co-Founder of Cerebras Systems, a company building a new class of computer system for accelerating AI and changing the future of work. Cerebras Systems is the creator of the world's largest chip, at 2.6 trillion transistors. In this episode, they discuss the founding story of Cerebras, the experience of creating the world's largest chip, and the process that goes into chip design and manufacturing for an AI-focused chip.  This episode is the first part of our hardware exploration series focused on the people building at the forefront of hardware applications in AI. LINKS: Cerebras: https://www.cerebras.net/ Book: The Chip War by Chris Miller RECOMMENDED PODCAST: The HR industry is at a crossroads. What will it take to construct the next generation of incredible businesses – and where can people leaders have the most business impact? Hosts Nolan Church and Kelli Dragovich have been through it all, the highs and the lows – IPOs, layoffs, executive turnover, board meetings, culture changes, and more. With a lineup of industry vets and experts, Nolan and Kelli break down the nitty-gritty details, trade offs, and dynamics of constructing high performing companies. Through unfiltered conversations that can only happen between seasoned practitioners, Kelli and Nolan dive deep into the kind of leadership-level strategy that often happens behind closed doors. Check out the first episode with the architect of Netflix's culture deck Patty McCord. https://link.chtbl.com/hrheretics PODCAST RECOMMENDATION: The AI Breakdown: https://pod.link/1680633614 As anyone in AI knows, the pace of progress of new releases is relentless. The AI Breakdown is a daily podcast (10-20min long) that helps us ensure we don't miss anything important by curating news and analysis. TIMESTAMPS (00:00) Preview (04:27) Andrew's story of creating the world's largest chip and Cerebras (07:19) What is a chip? (08:14) The diversity of chips and what they can accomplish (09:47) What is it like to design a 2.5 trillion transistor chip? (12:41) The founding story of Cerebras and building the team (14:20) Sponsor: Omneky (23:00) What was the hardest part about building the company? (26:11) What happens after designing the chip's blueprint? (27:29) The tradeoffs needed in chipmaking  (34:08) The comparison between chips and neural networks (38:31) The generalization vs specialization of a chip  (40:11) Sparse compute vs dense compute (43:55) Ghost in the machine (46:54) Supply chain challenges of the Cerebras chip (54:59) The future for chips (58:19) Building chip clusters (58:57) The Cerebras business model (01:00:41) Building a chip cluster vs using a Cerebras chip (01:02:57) Giant chips on the edge (01:05:32) What is the edge?  (01:08:04) Andrew's favorite AI products (01:10:08) Would Andrew get a Neuralink implant? (01:14:16) Consciousness and chips (01:17:50) AI hopes and fears TWITTER: @CogRev_Podcast @andrewdfeldman (Andrew) @labenz (Nathan) @eriktorenberg (Erik) Thank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off. Music Credit: MusicLM More show notes and reading material released in our Substack: https://cognitiverevolution.substack.com

Stagnation can be extremely dangerous for any leader, but for public servants in a constantly-evolving workplace, it can be even more precarious. Self-reflection and thus growth can be excellent tools for managers. Andrew Feldman is the founder and principal consultant at the Center for Results-Focused Leadership, which helps public agencies use evidence, data and strategy to improve their results. He also hosts the Gov Innovator podcast. He has a piece on our site right now headlined “A Personal-Growth Strategy for Effective Leadership.”  He joined the podcast to discuss his post and how public service leaders can manage personal growth. *** Follow GovExec on Twitter! https://twitter.com/govexec

What does it take to solve an intimidating problem that many feel is unsolvable?  Andrew Feldman, Co-founder and CEO of Cerebras Systems, can tell you, because he and his team engineered an unprecedented technological breakthrough. They set out to build a new class of computer system to accelerate Artificial Intelligence work. In the end, they built the fastest AI accelerator, based on the largest processor in the industry.  Tune in to hear his story, his thoughts on building and selling companies, and his career advice for aspiring founders. Enjoy this episode.   Main Takeaways: - Pioneering Solutions to Big Problems: Andrew explains his love of tackling big problems where there “isn't a safety net” and his love of “fearless engineering.” He shares his experience searching for a solution that many thought couldn't be found.  - Artificial Intelligence: Andrew discusses his thoughts on AI, how it could be used for extraordinary good and how it will permeate every facet of our lives moving forward. - Building and Selling Companies: Andrew discusses his experience building, leading and selling companies, diving into his decision making process for when to sell. - Advice for Aspiring Entrepreneurs: Andrew provides advice for aspiring entrepreneurs and also dives into the mistakes that he has made along the way. He stresses the need to focus on the customer, to build trust within your team and to build the right professional network. Key Quotes: In my experience, these aren't sitting on a park bench with an idea arriving like a child from Zeus's head fully formed, right? That's not the way they come. You articulate a problem….What choices are available to you to solve this?  You have to decide in your career what sort of problems you're going to attack. And you have to decide if you're more afraid of failing in pursuit of a really interesting big problem or succeeding at a mediocre problem. I think like every technology, [AI] has the opportunity for tremendous good and tremendous evil, both. I'd say the same for nuclear power. I'd say the same for, you know, any number of monstrous technologies. It is that their very power can be used for good or for bad. And I think that the technologies in AI can be used for evil and the exact same technology can be used for such good, it's extraordinary. And so the challenge is on us to manage it. I think it's a tremendous mistake to build a company to sell it. I think it's a tremendous mistake to have a religious view that you have to go public. You are using other people's money in what we do. You are building a company in partnership with people who are lending you part of their career, and you're the steward of that. I think one of the things young people should think about is they see resumes and they see LinkedIn links and it's success, lots of bullets, another success, lots of bullets. I think you can just ignore all that because nobody puts up their failures. You know, bad idea, six months wasted on a bad idea, millions of dollars destroyed because of arrogance, right? Nobody puts that on their LinkedIn. And so you get this, sort of like the Instagram version of a career, perfect angles, perfect lighting filters done properly. But that's not really the way careers went. 

Have suggestions for future podcast guests (or other feedback)? Let us know here!In episode 42 of The Gradient Podcast, Daniel Bashir speaks to Andrew Feldman.Andrew is the co-founder and CEO of Cerebras Systems, an AI accelerator company that has built the largest processor in the industry. Before Cerebras, Andrew co-founded and served as CEO of SeaMicro, which was acquired by AMD in 2012. He has also served in executive positions at Force10 Networks and RiverStone Networks.Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:(00:00) Intro(02:05) Andrew's trajectory, from business school to Cerebras(10:00) The large model problem and Cerebras' approach(19:50) Cerebras's GPT-J announcement(22:20) Andrew explains weight streaming to Daniel(32:30) Andrew's thoughts on the MLPerf benchmark(38:20) The venture landscape for AI accelerator companies(42:50) The hardware lottery, hardware support for sparsity(45:40) The CHIPS Act, NVIDIA China ban and the accelerator industry(48:00) Politics and Chips, US and China(52:20) Andrew's perspective on tackling difficult problems(56:42) OutroLinks:Cerebras' HomepageGPT-J AnnouncementTotalEnergiesGlaxoSmithKline (GSK)Sources mentioned“Political Chips” by Ben Thompson (because Daniel's a fanboy)Daniel's conversation with Sara HookerThe Hardware Lottery Get full access to The Gradient at thegradientpub.substack.com/subscribe

Jean-luc Chatelain, Applied Intelligence CTO, talks with Andrew Feldman, Founder and CEO of Cerebras Systems about transformers, massive models and the future of AI. They discuss how we are moving from a world of a large amount of models to fewer more powerful models known as transformers. Hear what they think this means for the future of AI.

Leadership, particularly in the public sector, requires a slate of skills. Decision making, communication and many other strengths are key to managing people and mission. Underlying so many of these skills is mindfulness, even if it doesn't immediately come to mind. Andrew Feldman is the founder and principal consultant at the Center for Results-Focused Leadership, which helps public agencies use evidence, data and strategy to improve their results. He also hosts the Gov Innovator podcast.Rabbi Marc Margolius is the senior program director at the Institute for Jewish Spirituality. He hosts the institute's daily mindfulness meditation sessions and teaches an online program called “Awareness in Action” designed to cultivate character through mindfulness.  They  have a piece on our site right now headlined “Government Leadership and the Power of Mindfulness.”  They joined the podcast to discuss how mindfulness can help leaders in their jobs and lives.   *** Join GovExec Daily on Clubhouse! https://www.clubhouse.com/club/govexec-daily-group

Top threats of 2022, Corel acquires Awingu, Cerebras Systems on AI compute in the cloud, and more. Cloud Security Alliance's top threats of 2022 Microsoft 365 function leaves SharePoint, OneDrive files open to ransomware attacks Cisco Live announcement about AppDynamics Ransomware gang creates a site for employees to search for their stolen data Corel acquires Awingu Cerebras Systems Founder and CEO Andrew Feldman on high-performance AI Compute in the cloud  Hosts: Louis Maresca, Brian Chee, and Curt Franklin Guest: Andrew Feldman Download or subscribe to this show at https://twit.tv/shows/this-week-in-enterprise-tech. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: CDW.com/IntelClient nureva.com linode.com/twiet

Top threats of 2022, Corel acquires Awingu, Cerebras Systems on AI compute in the cloud, and more. Cloud Security Alliance's top threats of 2022 Microsoft 365 function leaves SharePoint, OneDrive files open to ransomware attacks Cisco Live announcement about AppDynamics Ransomware gang creates a site for employees to search for their stolen data Corel acquires Awingu Cerebras Systems Founder and CEO Andrew Feldman on high-performance AI Compute in the cloud  Hosts: Louis Maresca, Brian Chee, and Curt Franklin Guest: Andrew Feldman Download or subscribe to this show at https://twit.tv/shows/this-week-in-enterprise-tech. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: CDW.com/IntelClient nureva.com linode.com/twiet

Top threats of 2022, Corel acquires Awingu, Cerebras Systems on AI compute in the cloud, and more. Cloud Security Alliance's top threats of 2022 Microsoft 365 function leaves SharePoint, OneDrive files open to ransomware attacks Cisco Live announcement about AppDynamics Ransomware gang creates a site for employees to search for their stolen data Corel acquires Awingu Cerebras Systems Founder and CEO Andrew Feldman on high-performance AI Compute in the cloud  Hosts: Louis Maresca, Brian Chee, and Curt Franklin Guest: Andrew Feldman Download or subscribe to this show at https://twit.tv/shows/this-week-in-enterprise-tech. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: CDW.com/IntelClient nureva.com linode.com/twiet

Top threats of 2022, Corel acquires Awingu, Cerebras Systems on AI compute in the cloud, and more. Cloud Security Alliance's top threats of 2022 Microsoft 365 function leaves SharePoint, OneDrive files open to ransomware attacks Cisco Live announcement about AppDynamics Ransomware gang creates a site for employees to search for their stolen data Corel acquires Awingu Cerebras Systems Founder and CEO Andrew Feldman on high-performance AI Compute in the cloud  Hosts: Louis Maresca, Brian Chee, and Curt Franklin Guest: Andrew Feldman Download or subscribe to this show at https://twit.tv/shows/this-week-in-enterprise-tech. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: CDW.com/IntelClient nureva.com linode.com/twiet

Andrew Feldman joins us to talk about his book Ernesto: The Untold Story of Hemingway in Revolutionary Cuba. What did Cuba mean to Papa and what has Papa meant to Cuba? To explore the place where Hemingway spent much of his adult life and Ernest became Ernesto, we discuss Hemingway's relationship to the Cuban people, his engagement with Cuban politics, and some of his greatest works, including The Old Man and the Sea and A Moveable Feast.  Feldman gives One True Podcast a debrief on his extraordinary two-year research trip to Havana and its environs, where he spent the majority of his time in Hemingway's storied home, the Finca Vigía. 

Innovators don't see limitations – they see challenges. And that's exactly what happened when Andrew Feldman and his team at Cerebras Systems were told that it was impossible to build a computer chip that could deliver the same performance as hundreds of graphics processing units. They tackled that challenge head-on, and have created the CS-2, the fastest AI computer in existence. This mega-sized chip is being used to tackle the world's most pressing problems. None of this would have been possible without a bit of audacity and what Andrew calls “fearless engineering”. Dive into the thought process of a status-quo challenger on this episode of IT Visionaries. Tune in to learn: What is Cerebras doing that others can't? (0:23)What is the difference between a regular computer and an “AI” computer? (2:34)How does a bigger chip make a difference? (6:55)How do our work habits affect tech? (8:48)What is the mindset of someone who tackles unsolvable problems? (13:34)How is AI shifting the way we approach healthcare? (14:30)How is creating new hardware similar to raising a baby? (21:05)Why does a faster computer change everything? (23:21)Will Cerebras ever try to go even faster? (27:43)IT Visionaries is brought to you by Salesforce Platform. If you love the thought leadership on this podcast, Salesforce has even more meaty IT thoughts to chew on. Take your company to the next level with in-depth research and trends right in your inbox. Subscribe to a newsletter tailored to your role at Salesforce.com/newsletter.Mission.org is a media studio producing content for world-class clients. Learn more at mission.org.

Michael chats with Andrew Feldman, co-founder and CEO of Cerebras Systems, about the role of AI in transforming health care. The team at Cerebras includes computer architects, system engineers, software engineers, and ML researchers who design and build systems to accelerate AI in multiple industries, including health care. Feldman is an entrepreneur dedicated to pushing boundaries in the compute space, and his experience in bringing innovative AI solutions to health care is reflected in his work with industry leaders such as GlaxoSmithKline, AstraZeneca, and Argonne National Laboratories. The role of AI in health care and life sciences is becoming more prominent than ever, he asserts, by leading to efficiencies that just years ago would have been unheard of—and thrusting health care into a new age of possibilities. This episode is sponsored by Cerebras Systems, www.cerebras.net.

On this podcast: a recap of the keynotes from our AI Everywhere conference, plus a conversation with Cerebras CEO Andrew Feldman on brain-sized AI, algorithmic bias, and more

Andrew Feldman, one of the founders and CEO of Cerebras Systems, talks about the company's wafer-scale computer chip optimized for machine learning and about the network of chips that company has built that has as much computing power as a human brain.

(00:32) Thanks for that introduction, Dr. Pritt. Today, we're actually going to be discussing T-cell lymphomas with Dr. Andrew Feldman. But before we really get started talking about this disease state, Dr. Feldman, could you provide us with a little bit of background about you and your role here at Mayo Clinic?(01:10) So at your work at Mayo clinic, you're involved in the clinical side and that you're reading all of these patient cases as a meta-pathologist, but you also have a research focus as well. Is that specific to T-cell lymphomas? (01:38) That's interesting. That gives you a very unique perspective being that you're involved kind of in both sides of that. So as we talk about T-cell lymphoma, can you just give myself and our listeners kind of a brief overview of this disease state? (03:48) So, Dr. Feldman, I find it really interesting as you, you kind of talk about this disease state. I didn't realize there were 30 subtypes of T-cell lymphoma. I mean, that does definitely add to the complexity of this. So can you talk to me really about what are the different tests and assays that you use to sub classify into those 30 types and give our patients an accurate diagnosis? (06:19) This never ceases to amaze me about the amount of pathology and hematology and hematologic malignancies in general. There's no one test that answers the questions that we have for these patients. You kind of have to work your way down, putting all of these different pieces together. And I always think about it like a puzzle. So as you're going through and in answering these questions and you put this puzzle together for each patient, when should patients be having this testing performed? Do we do it at diagnosis? Are we following these patients? Kind of talk to me about that process as the patient comes in to see their oncologist for these diseases. (07:39) So Dr. Feldman, it's interesting that you talked about all of these tests that we perform to try to accurately diagnose these patients and that we're using them to give the clinician all of those answers that they need to treat their patients. As we come up with that final diagnosis and we give the clinician their answer, how are those results being used in patient care? I've seen a lot of movement in the marketplace lately with new therapies, new gene findings. What are those answers that we're giving those clinicians doing for those patients in the long run? (11:10) Just so interesting to me, all the complexities of this and the nuances that go into making sure that that patient gets put on the right therapy that is actually beneficial for them and not harmful in some cases. So last question, just because it's kind of a hot topic right now in the oncology world in general. So, are we monitoring these types of lymphoma patients right now for any sort of minimal residual disease or what kind of monitoring happens for these patients during the course of therapy, (12:08) Oh, that's very interesting. And I look forward to that, especially hearing you talk about how some of these therapies are being very successful for these patients. It'll be good to see what does that progression-free survival look like and what does that patient quality of life right after they've gone through these therapies. I really enjoy hearing that we're having these increased successes. So one last question for you before I let you go, you've done a lot of research in the T-cell lymphoma space. It's obviously something that's really near and dear to your heart. You also see a lot of consults and our team sees a lot of consults on T-cell lymphomas, just because of our expertise in this area. Just really quickly tell me about all of the work that you've done. What's the one thing that really stands out. She was like, this was that thing that you found or that, that driver of what, what brings you to work every day that you just are really always excited.

Im MIXEDCAST #262 widmen wir uns ausführlich Facebooks neuestem VR-Projekt Workrooms und denken darüber nach, wie ein neuer KI-Super-Prozessor Künstliche Intelligenz verändern könnte. VR-Meetings im Facebook-Universum: Horizon Workrooms ausprobiert Mit Workrooms versucht es Facebook mal wieder mit einer VR-Telepräsenz-App, diesmal spezifisch für das Arbeitsumfeld und virtuelle Meetings. Als Avatare können sich VR-Brillenträger mit gewöhnlichen Webcam-Nutzern zusammentun und gemeinsam in digitalen Meeting-Räumen konferieren. Wie funktioniert Workrooms, welchen Mehrwert bietet die App derzeit und wo könnte (müsste?) die Reise hingehen bei VR-Meetings? Mehr zum Thema: https://mixed.de/horizon-workrooms-das-ist-facebooks-antwort-auf-videokonferenzen/ Cerebras CS-2: Ein Super-Chip für die nächste KI-Generation? Die auf Künstliche Intelligenz spezialisierte Chip-Manufaktur Cerebras kündigt Großes an: Mit dem CS-2-Chip ausgerüstete Systeme sollen KI-Systeme mit bis zu 120 Billionen Parametern trainieren können. Das aktuell größte KI-Modell schafft nur circa 1,75 Billionen Parametern. Ein riesiger Sprung auf dem Papier, doch was würde er in der Praxis bringen? Würde er überhaupt etwas bringen? Der Cerebras-Mitgründer Andrew Feldman ist natürlich davon überzeugt und verspricht "neuronale Netze auf Gehirnniveau". Ob das Potenzial wirklich so groß ist, darüber diskutieren wir im aktuellen Podcast. Mehr zum Thema: https://mixed.de/cerebras-cs-2-super-chip-soll-die-naechste-ki-generation-trainieren/ Den MIXED.de-Podcast gibt es bei Soundcloud, Spotify, iTunes, in der Google Podcast-App oder als RSS-Feed. Mehr Infos und alle Folgen: mixed.de/podcast Bitte unterstütze unsere Arbeit mit einem Werbefrei-Abo für die Seite: mixed.de/abo Oder einem Einkauf über unseren Amazon-Link (ohne Aufpreis für Dich): amzn.to/2Ytw5CN mit einem deaktivierten Werbeblocker oder einer positiven Bewertung bei iTunes, Spotify und Co.

Andrew Feldman, whose company Cerebras Systems makes the world's largest computer chip to accelerate grand artificial-intelligence applications ranging from drug discovery to new-materials research, discusses what it takes to launch a generational company, and where the biggest entrepreneurial opportunities lie as the AI revolution unfolds across society.   In conversation with Eclipse Ventures' Kushagra Vaid, Andrew shares his experience with taking on mission-impossible challenges and explains that deep-tech builders would do better to fail in the pursuit of doing something extraordinary rather than thinking incrementally.   More info: Cerebras Systems IEEE Spectrum – Cerebras' New Monster AI Chip Adds 1.4 Trillion Transistors Eclipse Ventures

Understanding intent represents a major milestone in the world of Artificial Intelligence. The practice of ascertaining a person's intent (or that of a machine, frankly) is similar to the long-standing discipline of predictive analytics, but it's arguably a deeper view into the psyche (or inner workings). This is just another way in which AI is transforming business. Check out this episode of DM Radio to hear host @eric_kavanagh interview several experts, including Andrew Feldman of Cerebras Systems, Chris Nicholson of Pathmind, and a special guest!

Andrew Feldman joins the Legends Pod (7:20) to discuss his experiences working as a video staff member for the Indiana, Elon, and most recently Clemson college football programs. Andrew discusses the role of a video coordinator, the experience of working with a perennial national championship contender, the 2020 College Football Playoff, and what the Clemson program looks like headed into 2021.

In the latest installment of our indeterminate run web-series, David and Dara are locked in with author and pokerstrategy.com editor Barry Carter. The topics vary from the recently dismissed Mike Postle case, Mike Matusow's 'soapy handjob' interview with Postle, the return of live poker, the life of a blogger covering other people winning HUGE sums of money, Andrew Feldman's open Betfair account and the upcoming book 'Poker PKO Strategy', written by Dara and Barry.

In the latest installment of our indeterminate run web-series, David and Dara are locked in with author and pokerstrategy.com editor Barry Carter. The topics vary from the recently dismissed Mike Postle case, Mike Matusow's 'soapy handjob' interview with Postle, the return of live poker, the life of a blogger covering other people winning HUGE sums of money, Andrew Feldman's open Betfair account and the upcoming book 'Poker PKO Strategy', written by Dara and Barry.

This special episode of the podcast is part oral history of when the plague came to Silicon Valley and part anthology of advice for startups dealing with the fallout of Covid-19. Five CEOs and one CFO, at companies ranging from early stage to public market, share their experiences of coping with the business impact of the pandemic and offer advice for how best to manage through the crisis. The guests for this episode are Mohit Aron, CEO at Cohesity; Andrew Feldman, CEO at Cerebras Systems; Jack Lazar, former CFO; Mark Leslie, retired CEO at Veritas Technologies; Jonathan Siddharth, CEO at Turing; and Derek Steer, CEO at Mode.

As we wrap up 2019, we would like to thank everyone who listened to the FYI — For Your Innovation podcast. We received incredibly positive feedback for our podcast show and had some truly amazing guests in the past year, ranging from world class geneticists to founders and CEOs. In this final episode of 2019, we put together a “greatest hits compilation” of our five most popular episodes.   1. On the Road to Full Autonomy with Elon Musk (EP11) Elon Musk talks about how his engineering background drives his decision making for Tesla and why he is so confident that Tesla will achieve full autonomy. On this podcast: Elon Musk, Tasha Keeney, Cathie Wood. (Listen to the Full Episode)   2. Immunotherapy and the Race to Cure Cancer with Charles Graeber (EP21) For decades cancer was something that was treated rather than cured. Author of the book The Breakthrough: Immunotherapy and the Race to Cure Cancer, Charles Graeber unpacks the history of immunotherapy, why it remained on the fringes for so long, and why cancer might become a manageable disease. On this podcast: Charles Graeber and James Wang (Listen to the Full Episode)   3. The Genomic Revolution with Prof. Dr. George Church (EP26) Professor George Church is one of the pioneers of modern genetics. We dive into the stage of genomics, next generation oncology, the security and regulation of genetic information, gene editing, and the increasing speed of the genomic revolution. On this podcast: George Church, Manisha Samy, Simon Barnett, and James Wang. (Listen to the Full Episode)   4. Wright's Law—Understanding Technology Cost Curves with Brett Winton (EP07) Brett Winton explains how Wright's Law makes simple and robust predictions about technology cost declines, and why it's at the center of ARK's research. On this podcast: Brett Winton and James Wang (Listen to the Full Episode)   5. Cerebras' Wafer Scale Engine AI Chip with CEO Andrew Feldman (EP37) Andrew Feldman, co-founder and CEO of Cerebras, joins us to discuss the Wafer Scale Engine, or WSE, an AI chip that is 50 times larger than the largest chips produced by Nvidia and Intel. On this podcast: Andrew Feldman and James Wang (Listen to the Full Episode)   We will be back in 2020 with new episodes and more exciting topics, because investing in innovation starts with understanding it. Until then, stay innovative!  

As we wrap up 2019, we would like to thank everyone who listened to the FYI — For Your Innovation podcast. We received incredibly positive feedback for our podcast show and had some truly amazing guests in the past year, ranging from world class geneticists to founders and CEOs. In this final episode of 2019, we put together a “greatest hits compilation” of our five most popular episodes.   1. On the Road to Full Autonomy with Elon Musk (EP11) Elon Musk talks about how his engineering background drives his decision making for Tesla and why he is so confident that Tesla will achieve full autonomy. On this podcast: Elon Musk, Tasha Keeney, Cathie Wood. (Listen to the Full Episode)   2. Immunotherapy and the Race to Cure Cancer with Charles Graeber (EP21) For decades cancer was something that was treated rather than cured. Author of the book The Breakthrough: Immunotherapy and the Race to Cure Cancer, Charles Graeber unpacks the history of immunotherapy, why it remained on the fringes for so long, and why cancer might become a manageable disease. On this podcast: Charles Graeber and James Wang (Listen to the Full Episode)   3. The Genomic Revolution with Prof. Dr. George Church (EP26) Professor George Church is one of the pioneers of modern genetics. We dive into the stage of genomics, next generation oncology, the security and regulation of genetic information, gene editing, and the increasing speed of the genomic revolution. On this podcast: George Church, Manisha Samy, Simon Barnett, and James Wang. (Listen to the Full Episode)   4. Wright’s Law—Understanding Technology Cost Curves with Brett Winton (EP07) Brett Winton explains how Wright’s Law makes simple and robust predictions about technology cost declines, and why it’s at the center of ARK’s research. On this podcast: Brett Winton and James Wang (Listen to the Full Episode)   5. Cerebras’ Wafer Scale Engine AI Chip with CEO Andrew Feldman (EP37) Andrew Feldman, co-founder and CEO of Cerebras, joins us to discuss the Wafer Scale Engine, or WSE, an AI chip that is 50 times larger than the largest chips produced by Nvidia and Intel. On this podcast: Andrew Feldman and James Wang (Listen to the Full Episode)   We will be back in 2020 with new episodes and more exciting topics, because investing in innovation starts with understanding it. Until then, stay innovative!  

Andrew Feldman is the co-founder and CEO of Cerebras Systems which is a computer systems company dedicated to accelerating deep learning. The company has raised so far $200 million from top tier investors like Benchmark, Foundation Capital, and Altimer Capital. Prior to this, Andrew Feldman cofounded SeaMicro (acquired by AMD for $355M) and Riverstone Networks (acquired by YAGO for $280M).

Andrew Feldman is the co-founder and CEO of Cerebras Systems which is a computer systems company dedicated to accelerating deep learning. The company has raised so far $200 million from top tier investors like Benchmark, Foundation Capital, and Altimer Capital. Prior to this, Andrew Feldman cofounded SeaMicro (acquired by AMD for $355M) and Riverstone Networks (acquired by YAGO for $280M).

Andrew Feldman, co-founder and CEO of Cerebras, joins us this week to discuss the Wafer Scale Engine, or WSE, an AI chip that is 50 times larger than the largest chips produced by Nvidia and Intel. This radical design has raised a lot of eyebrows and it is already being heralded as the biggest breakthrough in semi-conductor technology in decades. Andrew helps us unpack why AI work needs chips this large, how Cerebras was able to leapfrog industry incumbents, and what why the Wafer Scale Engine is the ideal AI training accelerator. Join us on this podcast as we talk with Andrew about some of the biggest hurdles that his team encountered on this market shifting journey.

Andrew Feldman, co-founder and CEO of Cerebras, joins us this week to discuss the Wafer Scale Engine, or WSE, an AI chip that is 50 times larger than the largest chips produced by Nvidia and Intel. This radical design has raised a lot of eyebrows and it is already being heralded as the biggest breakthrough in semi-conductor technology in decades. Andrew helps us unpack why AI work needs chips this large, how Cerebras was able to leapfrog industry incumbents, and what why the Wafer Scale Engine is the ideal AI training accelerator. Join us on this podcast as we talk with Andrew about some of the biggest hurdles that his team encountered on this market shifting journey.

Originally aired on September 5th 2019.

Doug Kezirian recaps a successful weekend in the Bonanza with John Murray of the SuperBook, as they also preview Week 13 spreads. Plus, former podcast host Andrew Feldman reflects on a pivotal moment for the poker world: Chris Moneymaker's Main Event win at the 2003 World Series of Poker (1:16:50).

In this episode we talk about the NYC real estate market with TOP agents in the industry - Chief Evangelist of Compass Leonard Steinberg, residential agent Brian Lewis and commercial agent Andrew Feldman. We go in depth with the current market and how we got to where we are today. You will hear that we are in a buyers market, but are we? With the volatility of the stock market, rising interest rates, unknown political direction, low number of contracts signed since 2008 - What in the world is going on? As a buyer, is it time to buy? Or maybe it is safer to be on the sidelines till things settle? This is an episode you don't want to miss! Enjoy!If you have any questions, or maybe have a suggestion of what topic we should talk about - feel free to reach out to us at zone@nycazone.com.Also make sure to visit our website: http://www.nycapartmentszone.comFollow us on social media:Facebook:https://www.facebook.com/nycapartmentszone/Instagram: https://www.instagram.com/nycapartmentszone/Youtube: https://www.youtube.com/channel/UCwmAikIGCJIildIGZQWQh6g See acast.com/privacy for privacy and opt-out information.

In this episode of the Data Show, I spoke with Andrew Feldman, founder and CEO of Cerebras Systems, a startup in the blossoming area of specialized hardware for machine learning. Since the release of AlexNet in 2012, we have seen an explosion in activity in machine learning, particularly in deep learning. A lot of the […]

TIMESTAMPS (Shout out to David Huber for timestamps!!) (0:00) Intro, Poker Life Podcast with Matt Berkey(2:10) This week's Poker After Dark shows(2:49) Matt Berkey's response to Live at the Bike lineup changes(5:13) Matt says $200/$400 NLHE LATB game promotion was a "partial truth"(6:37) Funds for high profile nosebleed poker games are not easy to move around(8:05) Matt Berkey talks about Doug Polk, YouTube video and TV poker cancellations(12:34) Live poker stream organizational challenges, not everyone has incentives(14:06) Matt sends a BANG BANG to Doug's Facebook Live clip(17:26) Matt Berkey's business growth, personal brand vision(18:47) LATB, Andrew Feldman get high praise(19:56) Should big name poker players become more active in organizing TV games?(21:30) Andrew Robl "leads with value" as "the bank" for some big games(23:36) Matt says Global Poker League is incosiderate of value to its players (25:01) More thoughts on Doug Polk(26:50) Joey talks about an upcoming surprise, Friday episode with Doug Polk(28:15) Cryptocurrency discussion, CoinPoker(35:39) The current state of online poker, middleman Internet wagering(43:30) Private poker games, cannibalization of stake levels(46:53) Why the Los Angeles poker scene is different from Las Vegas(50:06) The continued growth of poker tournaments(52:05) Promotional ideas... OMG Bomb Pots!(55:02) How short-stacking No Limit games is harmful(59:42) Joey talks about Doug spreading awareness of poker, cash games(1:00:30) Matt says Doug's LATB clips were long on critique, short on solutions(1:02:50) Matt Berkey's relatives look just like he does, nephew talk(1:06:09) Joey missed Tony Robbins event, was uploading Deep Thoughts on YouTube(1:11:12) What Matt learned from recent conference featuring Tony Robbins(1:12:31) Mental health, supression of creativity(1:14:39) Solve for Why acadamey (1:18:11) The "Young Prince" Fedor Holz(1:19:47) Matt Berkey's plans for rest of 2017(1:24:34) Joey Ingram's recent and upcoming YouTube content(1:24:55) Adderall, caffeine and other substances that affect brain activity(1:29:24) Outro

Mayo Medical Laboratories President William Morice, M.D., Ph.D., sits down with Andrew Feldman, M.D., Vice Chair for Research in the Department of Laboratory Medicine and Pathology at Mayo Clinic.

2014 November Nine chip leader Jorryt van Hoof is Bernard's guest. Also, preview Final Table with Andrew Feldman.

2014 November Nine chip leader Jorryt van Hoof is Bernard's guest. Also, preview Final Table with Andrew Feldman.

Poker Pro Jonathan Duhamel and ESPN's Andrew Feldman talk about this years November 9. 

Poker Pro Jonathan Duhamel and ESPN's Andrew Feldman talk about this years November 9. 

Bernard Lee chats with ESPN.com Poker Editor Andrew Feldman about this years WSOP and then talks with $111k 2013 One Drop Champion Anthony Gregg.

Bernard Lee chats with ESPN.com Poker Editor Andrew Feldman about this years WSOP and then talks with $111k 2013 One Drop Champion Anthony Gregg.

Bernard is joined by ESPN Poker Editor Andrew Feldman to discuss trends, predictions and everything else about the world of poker in 2013.

Bernard is joined by ESPN Poker Editor Andrew Feldman to discuss trends, predictions and everything else about the world of poker in 2013.

The 2012 WSOP Main Event is over! Bernard has the recap and chats with ESPN's Andrew Feldman and Pro Jeremy Ausmus.

The 2012 WSOP Main Event is over! Bernard has the recap and chats with ESPN's Andrew Feldman and Pro Jeremy Ausmus.

Join The Bernard Lee Poker Show and hear how Bernard's Day 1 went at the WSOP Main Event and hear from guests: Nick Schulman, Sam Barnhart & Andrew Feldman.

Join The Bernard Lee Poker Show and hear how Bernard's Day 1 went at the WSOP Main Event and hear from guests: Nick Schulman, Sam Barnhart & Andrew Feldman.

ESPN.com editor, Andrew Feldman, joins Bernard to discuss the 2011 year in poker.

ESPN.com editor, Andrew Feldman, joins Bernard to discuss the 2011 year in poker.

Hole Cards are Wild! Jesse May cathches up with ESPN's head writter Andrew Feldman and discuss the 2011 WSOP and fact the Main Event will be LIVE!

Bernard chats about this years WSOP and more with his co-host from ESPN's Inside Deal, Andrew Feldman.

Bernard chats about this years WSOP and more with his co-host from ESPN's Inside Deal, Andrew Feldman.

Bernard made it to the final table at the WSOP No Limit Deuce to Seven Lowball Tournament! Find out what when down on this episode of the Bernard Lee Poker Show on Rounders Radio. Also, Bernard is joined by his co-host from ESPN's Inside Deal to talk about all the happenings at the 2011 WSOP.

Bernard made it to the final table at the WSOP No Limit Deuce to Seven Lowball Tournament! Find out what when down on this episode of the Bernard Lee Poker Show on Rounders Radio. Also, Bernard is joined by his co-host from ESPN's Inside Deal to talk about all the happenings at the 2011 WSOP.

Jesse May heads to the WSOPE at the Empire Casino in London where he talks about the Heads Up Draw. There are interviews with Sam Trickett, Andrew Feldman, Talal Shakerchi, Neil Channing, Daniel Negreanu, JP Kelly, Felipe Ramos, Owen Robinson and Jamie Berland.

It's a busy show for Gary Wise with 3 special guests.  First up Gary talks about who got snubbed at the National Heads-Up Championship with producer Mori Eskandani, and they talk about dream match ups at the tourney as well.  Gary then welcomes Jeff Madsen, and finishes up the show by chatting with his boss!  Andrew Feldman of ESPN.com.