Sveriges 100 mest populära podcasts

The AI Podcast

The AI Podcast

One person, one interview, one story. Join us as we explore the impact of AI on our world, one amazing person at a time -- from the wildlife biologist tracking endangered rhinos across the savannah here on Earth to astrophysicists analyzing 10 billion-year-old starlight in distant galaxies to the Walmart data scientist grappling with the hundreds of millions of parameters lurking in the retailer?s supply chain. Every two weeks, we?ll bring you another tale, another 25-minute interview, as we build a real-time oral history of AI that?s already garnered nearly 3.4 million listens and been acclaimed as one of the best AI and machine learning podcasts. So whether you?re contending with challenges in marketing or mathematics, astrophysics or paleo history or just trying to find an automated way to sort out your kid?s growing Lego pile, listen in and get inspired.


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WSC Sports? Amos Bercovich on How AI Keeps the Sports Highlights Coming - Ep. 183

Doesn?t matter if you love hockey, basketball, or soccer. Thanks to the Internet, there's never been a better time to be a sports fan. But how are all of these craveable video packages made? Editing together so many social media clips, long-form YouTube highlights and other videos from global sporting events is no easy feat. That's where auto-magical video solutions help. And by auto-magical, of course, we mean AI-powered. On this episode of the AI Podcast, host Noah Kravitz spoke with Amos Bercovich, algorithm group leader at WSC Sports, makers of an AI cloud platform that enables over 200 sports organizations worldwide to generate personalized and customized sports videos automatically and in real time. Bercovich spoke about the technological highlights behind your favorite highlight reels.
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AI-Equipped Drones Could Offer Real-Time Updates on Endangered African Black Rhinos - Ep. 182

In the latest example of how researchers are using the latest technologies to track animals less invasively, a team of researchers has proposed harnessing high-flying AI-equipped drones powered to track the endangered black rhino through the wilds of Namibia. In a paper published earlier this year in the journal PeerJ, the researchers show the potential of drone-based AI to identify animals in even the remotest areas and provide real-time updates on their status from the air. While drones ? and technology of just about every kind ? have been harnessed to track African wildlife, the proposal promises to help gamekeepers move faster to protect rhinos and other megafauna from poachers. AI Podcast host Noah Kravitz spoke to two of the authors of the paper. Zoey Jewel is co founder and president of wild, a global network of biologists and conservationists dedicated to non invasive wildlife monitoring techniques. And Alice Hua is a recent graduate of the School of Information at UC Berkeley in California, and an ML platform engineer at CrowdStrike. And for more, read the full paper at
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How Tarteel Uses AI to Help Arabic Learners Perfect Their Pronunciation - Ep. 181

There are some 1.8 billion Muslims, but only 16% or so of them speak Arabic, the language of the Quran. This is in part due to the fact that many Muslims struggle to find qualified instructors to give them feedback on their Quran recitation. Enter today?s guest and his company Tarteel, a member of the NVIDIA Inception program for startups. Tarteel was founded with the mission of strengthening the relationship Muslims have with the Quran. The company is accomplishing this with a fusion of Islamic principles and cutting-edge technology. AI Podcast host Noah Kravitz spoke with Tarteel CEO Anas Abou Allaban, to learn more.
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Researchers Use AI to Help Earbud Users Mute Background Noise - Ep. 180

Thanks to earbuds, people can take calls anywhere, while doing anything. The problem: those on the other end of the call can hear all the background noise, too, whether it?s the roommate?s vacuum cleaner or neighboring conversations at a café. Now, work by a trio of graduate students at the University of Washington, who spent the pandemic cooped up together in a noisy apartment, lets those on the other end of the call hear just the speaker ? rather than all the surrounding sounds. Users found that the system, dubbed ?ClearBuds? ? presented last month at the ACM International Conference on Mobile Systems, Applications and Services ? improved background noise suppression much better than a commercially available alternative. AI Podcast host Noah Kravitz caught up with the team at ClearBuds to discuss the unlikely pandemic-time origin story behind a technology that promises to make calls clearer and easier, wherever we go.
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Overjet's Ai Wardah Inam on Bringing AI to Dentistry - Ep. 179

Dentists get a bad rap. Dentists also get more people out of more aggravating pain than just about anyone. Which is why the more technology dentists have, the better. Overjet, a member of the NVIDIA Inception program for startups, is moving fast to bring AI to dentists? offices. On this episode of the NVIDIA AI Podcast, host Noah Kravitz talks to Dr. Wardah Inam, CEO of Overjet, about how her company uses AI to improve patient care. Overjet?s AI-powered technology analyzes and annotates X-rays for dentists and insurance providers. It?s a step that promises to take the subjectivity out of X-ray interpretations, boosting medical services.
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Reinventing the Wheel: Gatik?s Apeksha Kumavat Accelerates Autonomous Delivery - Ep. 178

As consumers expect faster, cheaper deliveries, companies are turning to AI to rethink how they move goods. Foremost among these new systems are ?hub-and-spoke,? or middle-mile, operations, where companies place distribution centers closer to retail operations for quicker access to inventory. However, faster delivery is just part of the equation. These systems must also be low cost for consumers. Autonomous delivery company Gatik seeks to provide lasting solutions for faster and cheaper shipping. By automating the routes between the hub ? the distribution center ? and the spokes ? retail stores ? these operations can run around the clock efficiently and with minimal investment. Gatik co-founder and Chief Engineer Apeksha Kumavat joined NVIDIA?s Katie Burke Washabaugh on the latest episode of the AI Podcast to walk through how the company is developing autonomous trucks for middle-mile delivery.
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Data is the fuel that makes artificial intelligence run. Training machine learning and AI systems requires data. And the quality of datasets has a big impact on the systems? results. But compiling quality real-world data for AI and ML can be difficult and expensive. That?s where synthetic data comes in. The guest for this week?s AI Podcast episode, Nathan Kundtz, is founder and CEO of, a platform as a service for creating synthetic data to train AI models. The company is also a member of NVIDIA Inception, a free, global program that nurtures cutting-edge startups.
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NVIDIA?s Clément Farabet on Orchestrating AI Training for Autonomous Vehicles - Ep. 175

Autonomous vehicles are one of the most complex AI challenges of our time. The networks running in the car must act as an intricate symphony, requiring intensive training, testing and validation on massive amounts of data to operate safely in the real world. Clément Farabet is the Vice President of AI Infrastructure at NVIDIA, and is the proverbial maestro behind the AV development orchestra. He?s applying nearly 15 years of experience in deep learning ? including building Twitter?s AI machine ? to teach neural networks how to perceive and react to the world around them. Farabet sat down with NVIDIA?s Katie Burke Washabaugh on the latest episode of the AI Podcast to discuss how the early days of deep learning led to today?s flourishing AV industry, and how he?s approaching DNN development. Tapping into the performance of the NVIDIA SaturnV supercomputer, Farabet is designing a highly scalable data factory to deliver intelligent transportation in the near term, and is looking ahead to the next frontiers in AI.
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Immunai CTO and Co-Founder Luis Voloch on Using Deep Learning to Develop New Drugs - Ep. 176

What if we could map our immune system to create drugs that can help our bodies win the fight against cancer and other diseases? That?s the big idea behind immunotherapy. The problem: the immune system is incredibly complex. Enter Immunai, a biotechnology company that?s using AI technology to map the human immune system and speed the development of new immunotherapies against cancer and autoimmune diseases. On this episode of NVIDIA?s AI Podcast, host Noah Kravitz spoke with Luis Voloch, CTO and Co-Founder of Immunai, about tackling the challenges of the immune system with a machine learning and data science mindset.
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Lucid Motors? Mike Bell on Software-Defined Innovation - Ep. 174

AI and electric vehicle technology breakthroughs are transforming the automotive industry. These developments pave the way for new innovators, attracting technical prowess and design philosophies from Silicon Valley. Mike Bell, senior vice president of digital at Lucid Motors, sees continuous innovation coupled with over-the-air updates as key to designing sustainable, award-winning intelligent vehicles that provide seamless automated driving experiences. NVIDIA?s Katie Burke Washabaugh spoke with Bell on the latest AI Podcast episode, covering what it takes to stay ahead in the software-defined vehicle space. Bell touched on future technology and its implications for the mass adoption of sustainable, AI-powered EVs ? as well as what Lucid?s Silicon Valley roots bring to the intersection of innovation and transportation.
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Santiago Valderrama on Getting Smarter on Machine Learning, One Problem at a Time - Ep. 173

Want to learn about AI and machine learning? There are plenty of resources out there to help ? blogs, podcasts, YouTube tutorials ? perhaps too many. Machine learning engineer Santiago Valdarrama has taken a far more focused approach to helping us all get smarter about the field. He?s created a following by posing one machine learning question every day on his website Think of it as Wordle for those who want to learn more about machine learning.
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Artem Cherkasov and Olexandr Isayev on Democratizing Drug Discovery with Deep Learning - Ep. 172

It may seem intuitive that AI and deep learning can speed up workflows ? including novel drug discovery, a typically years-long and several-billion-dollar endeavor. But professors Artem Cherkasov and Olexandr Isayev were surprised to find that no recent academic papers provided a comprehensive, global research review of how deep learning and GPU-accelerated computing impact drug discovery. In March, they published a paper in Nature to fill this gap, presenting an up-to-date review of the state of the art for GPU-accelerated drug discovery techniques. Cherkasov, a professor in the department of urologic sciences at the University of British Columbia, and Isayev, an assistant professor of chemistry at Carnegie Mellon University, join NVIDIA AI Podcast host Noah Kravitz this week to discuss how GPUs can help democratize drug discovery. In addition, the guests cover their inspiration and process for writing the paper, talk about NVIDIA technologies that are transforming the role of AI in drug discovery, and give tips for adopting new approaches to research.
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Astrophysicist Brant Robertson Using AI to Glean Insights from James Webb Space Telescope - Ep. 171

On July 12 NASA will release the first science data ? including the first science-quality images - from the $10 billion James Webb Space Telescope. The images are sure to be stunning, and guaranteed to make headlines around the world. AI Podcast Host Noah Kravitz spoke with UC Santa Cruz's Brant Robertson, a professor of astrophysics and astronomy, about the data science behind one of the biggest science stories of our time.
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Hume AI?s Alan Cowen on Building AIs With a Devotion to Emotion - Ep. 170

Can machines experience emotions? They might, according to Hume AI, an AI research lab and technology company that aims to ?ensure artificial intelligence is built to serve human goals and emotional well-being.? So how can AI genuinely understand how we are feeling, and respond appropriately? On this episode of NVIDIA?s AI Podcast, host Noah Kravitz spoke with Alan Cowen, founder of Hume AI and The Hume Initiative. Cowen ? a former researcher at Google who holds a Ph.D. in Psychology from UC Berkeley ? talks about the latest work at the intersection of computing and human emotion.
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Waabi CEO Raquel Urtasun on Using AI, Simulation to Teach Autonomous Vehicles to Drive - Ep. 169

Teaching the AI brains of autonomous vehicles to understand the world as humans do requires billions of miles of driving experience. The road to achieving this astronomical level of driving leads to the virtual world. On the latest episode of the AI Podcast, Waabi CEO and founder Raquel Urtasun joins NVIDIA?s Katie Burke Washabaugh to talk about the role simulation technology plays in developing production-level autonomous vehicles. Waabi is an autonomous-vehicle system startup that uses powerful, high-fidelity simulation to run multiple scenarios simultaneously and tailor training to rare and dangerous situations that are difficult to encounter in the real world. Urtasun is also a professor of Computer Science at the University of Toronto. Before starting Waabi, she led the Uber Advanced Technologies Group as chief scientist and head of research and development.
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What Is Conversational AI? ZeroShot Bot CEO Jason Mars Explains - Ep. 168

Entrepreneur Jason Mars calls conversation our ?first technology.? Before humans invented the wheel, crafted a spear or tamed fire, we mastered the superpower of talking to one another. That makes conversation an incredibly important tool. But if you?ve dealt with the automated chatbots deployed by the customer service arms of just about any big organization lately ? whether banks or airlines ? you also know how hard it can be to get it right. Deep learning AI and new techniques such as zero-shot learning promise to change that. On this episode of NVIDIA?s AI Podcast, host Noah Kravitz ? whose intelligence is anything but artificial ? spoke with Mars about how the latest AI techniques intersect with the very ancient art of conversation. In addition to being an entrepreneur and CEO of several startups, including Zero Shot Bot, Mars is an associate professor of computer science at the University of Michigan and the author of ?Breaking Bots: Inventing a New Voice in the AI Revolution? (ForbesBooks, 2021).
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MLCommons? David Kanter, NVIDIA?s Daniel Galvez on Publicly Accessible Datasets - Ep. 167

In deep learning and machine learning, having a large enough dataset is key to training a system and getting it to produce results. So what does a ML researcher do when there just isn?t enough publicly accessible data? Enter the MLCommons Association, a global engineering consortium with the aim of making ML better for everyone. MLCommons recently announced the general availability of the People?s Speech Dataset, a 30,000 hour English-language conversational speech dataset, and the Multilingual Spoken Words Corpus, an audio speech dataset with over 340,000 keywords in 50 languages, to help advance ML research. On this episode of NVIDIA?s AI Podcast, host Noah Kravitz spoke with David Kanter, founder and executive director of MLCommons, and NVIDIA senior AI developer technology engineer Daniel Galvez, about the democratization of access to speech technology and how ML Commons is helping advance the research and development of machine learning for everyone.
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Polestar?s Dennis Nobelius on the Sustainable Performance Brand?s Plans - Ep. 166

Polestar Chief Operating Officer Dennis Nobelius sees driving enjoyment and autonomous-driving capabilities complementing one another in sustainable vehicles that keep driving ? and the driver ? front and center. NVIDIA?s Katie Washabaugh spoke with Nobelius for the latest episode of the AI Podcast about the role the performance brand will play as vehicles become greener and more autonomous. Nobelius touched on the sustainable automaker?s plans to unveil its third vehicle, the Polestar 3, the tech inside it, and what the company?s racing heritage brings to the intersection of smarts and sustainability.
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Robust Intelligence CEO Yaron Singer on How to Prevent AI Failures - Ep. 165

Sometimes AI models fail, just like everything else in the world fails sometimes. That's where today's guest comes in. Yaron Singer is co- founder and CEO of Robust Intelligence, a company founded in 2019, out of research Singer was doing in his other job, as the Gordon McKay Professor of Computer Science and Applied Mathematics at Harvard University. Robust Intelligence, RI, for short, has developed a sort of AI firewall that wraps around a company's AI models to protects them from making mistakes, by constantly stress=testing these models. If you're not familiar with AI, stress walls and are wondering how an AI firewall can be a thing Yaron is here to tell us all about it.
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Recommender Systems 101: NVIDIA?s Even Oldridge Breaks It Down - Ep. 164

The very thing that makes the internet so useful to so many people ? the vast quantity of information that?s out there ? can also make going online frustrating. There?s so much available that the sheer volume of choices can be overwhelming. That?s where recommender systems come in, explains NVIDIA AI Podcast host Noah Kravitz. To dig into how recommender systems work ? and why these systems are being harnessed by companies in industries around the globe ? Kravitz spoke to Even Oldridge, senior manager for the Merlin team at NVIDIA.
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Exaggeration Detector Could Lead to More Accurate Health Science Journalism - Ep. 163

It would be an exaggeration to say you?ll never again read a news article overhyping a medical breakthrough. But, thanks to researchers at the University of Copenhagen, spotting hyperbole may one day get more manageable. In a paper, Dustin Wright and Isabelle Augenstein explain how they used NVIDIA GPUs to train an ?exaggeration detection system? to identify overenthusiastic claims in health science reporting. The paper comes amid a pandemic that has fueled demand for understandable, accurate information. And social media has made health misinformation more widespread. Research like Wright and Augenstein?s could speed more precise health sciences news to more people. We spoke with Wright about his work.
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NVIDIA?s Sarah Tariq Turning Cars into Software-Defined Vehicles - Ep. 162

Autonomous driving has evolved from science fiction to technology that is actively deployed on roads today. Sarah Tariq, vice president of autonomous driving software at NVIDIA, has been a key player in this transition. She worked on the ground floor of autonomous vehicle development at both NVIDIA and robotaxi company Zoox, and is now developing solutions for the coming generation of software-defined vehicles. Tariq is working to redefine how the world views personal transportation, transforming it into an experience that surprises and delights. She spoke with NVIDIA AI Podcast host Katie Washabaugh about her decade in AV development, the many ways in which software can improve mobility and what?s on the road ahead for intelligent transportation.
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Listen Up: How Audio Analytic Is Teaching Machines to Listen - Ep. 161

From active noise cancellation to digital assistants that are always listening for your commands, audio is perhaps one of the most important but often overlooked aspects of modern technology in our daily lives. Audio Analytic has been using machine learning that enables a vast array of devices to make sense of the world of sound. We spoke with Dr. Chris Mitchell, CEO and founder of Audio Analytic about the challenges, and the fun, involved in teaching machines to listen.
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Fusing Art and Tech: MORF Gallery CEO Scott Birnbaum on Digital Paintings, NFTs and More - Ep. 160

Browse through MORF Gallery ? virtually or at an in-person exhibition ? and you?ll find robots that paint, digital dreamscape experiences, and fine art brought to life by visual effects. The gallery showcases cutting-edge, one-of-a-kind artwork from award-winning artists who fuse their creative skills with AI, machine learning, robotics and neuroscience. Scott Birnbaum, CEO and co-founder of MORF Gallery, a Silicon Valley startup, spoke with NVIDIA AI Podcast host Noah Kravitz about digital art, non-fungible tokens, as well as ArtStick, a plug-in device that turns any TV into a premium digital art gallery.
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?AI Dungeon? Creator Nick Walton Uses AI to Generate Infinite Gaming Storylines - Ep. 159

What started as Nick Walton?s college hackathon project grew into AI Dungeon, a popular text adventure game with over 1.5 million users. Walton is the co-founder and CEO of Latitude, a Utah-based startup that uses AI to create unique gaming storylines. He spoke with NVIDIA AI Podcast host Noah Kravitz about how natural language processing methods can generate infinite open-ended adventure plots for interactive games like AI Dungeon, which draws an average of 150,000 new players each month.
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AI Pioneer Kai-Fu Lee Discusses His New Work of Fiction - Ep. 158

One of AI?s greatest champions has turned to fiction to answer the question: how will technology shape our world in the next 20 years? Kai-Fu Lee, CEO of Sinovation Ventures and a former president of Google China, spoke with NVIDIA AI Podcast host Noah Kravitz about AI 2041: Ten Visions for Our Future. The book, his fourth available in the U.S. and first work of fiction, was in collaboration with Chinese sci-fi writer Chen Qiufan, also known as Stanley Chan. Lee and Chan blend their expertise in scientific forecasting and speculative fiction in this collection of short stories, which was published in September. Among Lee?s books is the New York Times bestseller AI Superpowers: China, Silicon Valley, and the New World Order, which he spoke about on a 2018 episode of the AI Podcast.
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Real or Not Real? Attorney Steven Frank Uses Deep Learning to Authenticate Art - Ep. 157

Leonardo da Vinci?s portrait of Jesus, known as Salvator Mundi, was sold at a British auction for nearly half a billion dollars in 2017, making it the most expensive painting ever to change hands. However, even art history experts were skeptical about whether the work was an original of the master rather than one of his many protégés. Steven Frank is a partner at the law firm Morgan Lewis, specializing in intellectual property and commercial technology law. He?s also half of the husband-wife team that used convolutional neural networks to determine that this painting was likely an authentic da Vinci. He spoke with NVIDIA AI Podcast host Noah Kravitz about working with his wife, Andrea Frank, a professional curator of art images, to authenticate artistic masterpieces with AI?s help.
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AI of the Tiger: Conservation Biologist Jeremy Dertien - Ep. 156

Fewer than 4,000 tigers remain worldwide, according to Tigers United, a university consortium that recently began using AI to help save the species. Jeremy Dertien is a conservation biologist with Tigers United and a Ph.D. candidate in wildlife biology and conservation planning at Clemson University. He spoke with NVIDIA AI Podcast host Noah Kravitz about a project deploying AI-equipped cameras to monitor poaching in central India, where more than 70 percent of the remaining tiger populations reside.
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Metaspectral?s? ?Migel? ?Tissera? ?on? ?AI-Based? ?Data? ?Management? ? - Ep. 155

?Moondust?,? ?minerals? ?and? ?soil? ?types? ?are? ?just? ?some? ?of? ?the? ?materials? ?that? ?can? ?be? ?quickly? ?identified? ?and? ?analyzed? ?with? ?AI?,?? ?based? ?on? ?images? ?of? ?them.? ? ? ? Migel? ?Tissera? ?is? ?co-founder? ?and? ?CTO? ?of? ?Metaspectral,? ?a? ?Vancouver-based? ?startup? ?that? ?provides? ?an? ?AI-based? ?data? ?management? ?and? ?analysis? ?platform? ?for? ?ultra-high-resolution? ?images.? ? ? He? ?spoke? ?with? ??NVIDIA? ?AI? ?Podcast?? ?host? ?Noah? ?Kravitz? ?about? ?how? ?Metaspectral?s? ?technologies? ?help? ?space? ?explorers? ?make? ?quicker? ?and? ?better? ?use? ?of? ?the? ?massive? ?amounts? ?of? ?image? ?data? ?they? ?collect? ?out? ?in? ?the? ?cosmos.? ? ? In? ?addition? ?to? ?space,? ?the? ?startup?s? ?platform? ?is? ?used? ?across? ?industries? ?such? ?as? ?agriculture,? ?forensics? ?and? ?recycling.? ? Show notes:
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Researchers Chris Downum and Leszek Pawlowicz Use Deep Learning to Accelerate Archaeology - Ep. 154

The more advanced modern technologies become, the more they can help us understand the past. Chris Downum and Leszek Pawlowicz, researchers in the Department of Anthropology at Northern Arizona University, are using GPU-based deep learning algorithms to categorize sherds ? tiny fragments of ancient pottery. They spoke with NVIDIA AI Podcast host Noah Kravitz about analyzing sherds to learn more about American Southwest culture, circa 825 to 1300 A.D.
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Maya Ackerman on LyricStudio, an AI-Based Writing Songwriting Assistant - Ep. 153

Lennon and McCartney. Ashford and Simpson. Many of our all-time favorite tunes have come from songwriting duos. Now, anyone can find a snazzy compositional partner in AI. Maya Ackerman is the CEO of WaveAI, a Silicon Valley startup using AI and machine learning to, as the company motto puts it, ?unlock new heights of human creative expression.? She spoke with NVIDIA AI Podcast host Noah Kravitz about WaveAI?s LyricStudio software, an AI-based lyric and poetry writing assistant.
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Wild Things: NVIDIA?s Sifei Liu Talks 3D Reconstructions of Endangered Species - Ep. 152

Endangered species can be difficult to study, as they are elusive, and the very act of observing them can disrupt their lives. Now, scientists can take a closer look at endangered species by studying AI-generated 3D representations of them. Sifei Liu, a senior research scientist at NVIDIA, has worked with her team to create an algorithm that can reconstruct 3D meshes ? graphics models used to display the edges, vertices and overall shape of an object ? from 2D inputs like images and videos. Liu spoke with NVIDIA AI Podcast host Noah Kravitz about her team?s project, called Online Adaptation for Consistent Mesh Reconstruction in the Wild. Liu and her team have presented the project at various prominent conferences, including NeurIPS 2020.
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GANTheftAuto: Harrison Kinsley on AI-Generated Gaming Environments - Ep. 151

Machines have long played games - think of Deep Blue or AlphaGo. Now they're building them. GANTheftAuto creator Harrison Kinsley talks about his creation on the latest episode of the AI Podcast.
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GE's Danielle Merfeld and Arvind Rangarajan on AI and Renewable Energy - Ep. 150

At GE Renewable Energy, CTO Danielle Merfeld and technical leader Arvind Rangarajan are among those making advances throughout renewable energy. Merfeld and Rangarajan spoke with NVIDIA AI Podcast host Noah Kravitz about how the company uses AI and a human-in-the-loop process to make renewable energy more widespread. The International Energy Agency has set a goal to reach a net zero energy sector by 2050. To reach this goal, 88 percent of electricity needs to come from renewable sources. Wind energy will account for 40 percent of that, but today only makes up 8 percent of renewable energy.
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Jules Anh Tuan Nguyen Explains How AI Lets Amputee Control Prosthetic Hand, Video Games - Ep. 149

Path-breaking work that translates an amputee?s thoughts into finger motions, and even commands in video games, holds open the possibility of humans controlling just about anything digital with their minds. Using GPUs, a group of researchers trained an AI neural decoder able to run on a compact, power-efficient NVIDIA Jetson Nano system on module (SOM) to translate 46-year-old Shawn Findley?s thoughts into individual finger motions. And if that breakthrough weren?t enough, the team then plugged Findley into a PC running Far Cry 5 and Raiden IV, where he had his game avatar move, jump ? even fly a virtual helicopter ? using his mind. It?s a demonstration that not only promises to give amputees more natural and responsive control over their prosthetics. It could one day give users almost superhuman capabilities. The effort is detailed in a draft paper, or pre-print, titled ?A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control.? It details an extraordinary cross-disciplinary collaboration behind a system that, in effect, allows humans to control just about anything digital with thoughts. Jules Anh Tuan Nguyen, the paper?s lead author and now a postdoctoral researcher at the University of Minnesota, spoke with NVIDIA AI Podcast host Noah Kravitz about his efforts to allow amputees to control their prosthetic limb ? right down to the finger motions ? with their minds.
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Matt Ginsberg Built a GPU-Powered Crossword Solver to Take on Top Word Nerds - Ep. 148

Following a long string of victories for computers in other games ? chess in 1997, go in 2016 and Texas hold?em poker in 2019 ? a GPU-powered AI has beaten some of the world?s most competitive word nerds at the crossword puzzles that are a staple of every Sunday paper. Dr.Fill, the crossword puzzle-playing AI created by Matt Ginsberg ? a serial entrepreneur, pioneering AI researcher and former research professor ? scored higher than any humans earlier this year at the American Crossword Puzzle Tournament. Ginsberg spoke with NVIDIA AI Podcast host Noah Kravitz about his decade-long journey creating Dr.Fill and where he envisions it going in the future.
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NVIDIA?s Liila Torabi Talks the New Era of Robotics Through Isaac Sim - Ep. 147

Robots are not just limited to the assembly line. At NVIDIA, Liila Torabi works on making the next generation of robotics possible. Torabi is the senior product manager for Isaac Sim, a robotics and AI simulation platform powered by NVIDIA Omniverse. Torabi spoke with NVIDIA AI Podcast host Noah Kravitz about the new era of robotics, one driven by making robots smarter through AI.
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NVIDIA's Simon Yuen Talks About the Future Horizon of Digital Humans - Ep. 146

We all know about the applications for digital humans for films and video games, but at NVIDIA, Simon Yuen has discovered the vast need and potential for digital humans beyond the entertainment industry. Yuen spoke with NVIDIA AI Podcast host Noah Kravitz about how we?re getting to a point where the simulation of digital humans is possible as opposed to just the visual representation. Yuen leads the Digital Human project at NVIDIA. One of the first products the team is developing is Audio2Face, an AI-based solution that automates high-quality facial animation in real-time, based only on audio as input.
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Waste Not, Want Not: AI Startup Opseyes Revolutionizes Wastewater Analysis - Ep. 145

What do radiology and wastewater have in common? Hopefully, not much. But at startup Opseyes, founder Bryan Arndt and data scientist Robin Schlenga are putting the AI that?s revolutionizing medical imaging to work on analyzing wastewater samples. Arndt and Schlenga spoke with NVIDIA AI Podcast host Noah Kravitz about the inspiration for Opseyes, which began with Arndt?s career at wastewater industry leader Ramboll. Effluent has typically been analyzed by sending tightly sealed samples through the mail to experts. While speaking with his brother, a radiologist using deep learning, Arndt realized that AI could do something similar for wastewater samples. Schlenga then led the creation of Opseyes? convolutional neural network, which allows customers to upload a photo of a sample taken through a microscope. With Opseyes already in use at several wastewater plants, Arndt and Schlenga anticipate much more bacterial analysis in their future.
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Getting Clever with Kaolin: Researchers Accelerate 3D Deep Learning with New Tools - Ep. 144

3D deep learning holds the potential to accelerate progress in everything from robotics to medical imaging. But until now, researchers haven?t had the right tools to easily manage and visualize different types of 3D data. NVIDIA Kaolin is a collection of tools within the NVIDIA Omniverse simulation and collaboration platform that allows researchers to visualize and generate datasets, move between 3D tools and retain basic functions for other users. NVIDIA AI Podcast host Noah Kravitz spoke with four NVIDIANs about their work on the platform, including Richard Kerris, industry general manager for Omniverse; Jean-Francois Lafleche, a deep learning engineer; Senior Research Scientist Masha Shugrina; and Research Scientist Clement Fuji Tsang. Kaolin includes both a library, which contains a growing number of GPU-optimized operations, and an app within NVIDIA Omniverse for interactive 3D data visualizations. The long-term goal is to make both facets so robust that users could import a photo that generates a highly developed 3D model without spending time on recreating the scene within a 3D platform.
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AI Researcher James Kahn Explains Deep Learning?s Collision Course with Particle Physics - Ep. 143

For a particle physicist, the world?s biggest questions ? how did the universe originate and what?s beyond it ? can only be answered with help from the world?s smallest building blocks. James Kahn, a consultant with German research platform Helmholtz AI and a collaborator on the global Belle II particle physics experiment, uses deep learning to understand the fundamental rules governing particle decay. Kahn spoke with AI Podcast host Noah Kravitz about the specifics of how AI is accelerating particle physics. He also touched on his work at Helmholtz AI. Khan helps researchers in fields spanning medicine to earth sciences apply AI to the problems they?re solving. His wide-ranging career ? from particle physicist to computer scientist ? shows how AI accelerates every industry.
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Walmart?s Grant Gelvin on Prediction Analytics at Supercenter Scale - Ep. 142

With only one U.S. state without a Walmart supercenter ? and over 4,600 stores across the country ? the retail giant?s prediction analytics work with data on an enormous scale. Grant Gelven, a machine learning engineer at Walmart Global Tech, joined NVIDIA AI Podcast host Noah Kravitz for the latest episode of the AI Podcast. Gelven spoke about the big data and machine learning methods making it possible to improve everything from the customer experience to stocking to item pricing.
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NVIDIA?s Julie Bernauer Talks Setting Up One of World?s Fastest Supercomputers - Ep. 141

Julie Bernauer ? senior solutions architect for machine learning and deep learning at NVIDIA ? led the small team that successfully built Selene, the world?s fifth-fastest supercomputer. Adding to an already impressive feat, Bernauer?s team brought up Selene as the world went into lockdown in early 2020. They used skeleton crews, social distancing protocols, and remote cable validation to achieve what typically takes months with a larger install team in a few weeks. Bernauer told NVIDIA AI Podcast host Noah Kravitz about the goal in creating Selene, which was primarily to support NVIDIA?s researchers. Referencing her time as a doctoral student, Bernauer explains how researchers are often prevented from working on larger models due to expense and infrastructure. With Selene, the infrastructure is modular and can be scaled up or down depending on what users require, and allows for different types of research to be performed simultaneously. Bernauer said that Selene is proving most useful to autonomous vehicle and language modeling research at the moment. Going forward, Bernauer envisions some of the power and efficiency of systems like Selene becoming more available on widely accessible devices, such as laptops or edge products such as cars.
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NVIDIA?s Shalini De Mello Talks Self-Supervised AI, NeurIPS Successes - Ep. 140

Shalini De Mello, a principal research scientist at NVIDIA who?s made her mark inventing computer vision technology that contributes to driver safety, finished 2020 with a bang ? presenting two posters at the prestigious NeurIPS conference in December. A 10-year NVIDIA veteran, De Mello works on self-supervised and few-shot learning, 3D reconstruction, viewpoint estimation and human-computer interaction. She told NVIDIA AI Podcast host Noah Kravitz about her NeurIPS submissions on reconstructing 3D meshes and self-learning transformations for improving head and gaze redirection ? both significant challenges for computer vision.
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Drum Roll, Please: AI Startup Sunhouse Founder Tlacael Esparza Finds His Rhythm - Ep. 139

Drawing on his trifecta of degrees in math, music and music technology, Tlacael Esparza, co-founder and CTO of Sunhouse, is revolutionizing electronic drumming. Esparza has created Sensory Percussion, a combination of hardware and software that uses sensors and AI to allow a single drum to produce a complex range of sounds depending on where and how the musician hits it. In the latest installment of the NVIDIA AI Podcast, Esparza spoke with host Noah Kravitz about the tech behind the tool, and what inspired him to create Sunhouse. Esparza has been doing drumstick tricks of his own for many years ? prior to founding Sunhouse, he toured with a variety of bands and recorded drums for many albums. Esparza?s musical skill and programming knowledge formed the basis for Sensory Percussion. Partnering with his brother, Tenoch, and with support from a New York University startup accelerator, Sunhouse was born in 2014. Since then, it?s become successful with live performers. Esparza is especially proud of its popularity in the New York jazz community and among drumming legends like Marcus Gilmore and Wilco?s Glenn Kotche.
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Author Cade Metz Talks About His New Book "Genius Makers" - Ep. 138

Call it Moneyball for AI. In his just released book, "Genius Makers," New York Times writer Cade Metz tells the funny, inspiring ? and ultimately triumphant ? tale of how a dogged group of AI researchers bet their careers on the long-dismissed technology of deep learning.
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NVIDIA?s Marc Hamilton on Building the Cambridge-1 Supercomputer During a Pandemic - Ep. 137

Since NVIDIA announced construction of the U.K.?s most powerful supercomputer ? Cambridge-1 ? Marc Hamilton, vice president of solutions architecture and engineering, has been (remotely) overseeing its building across the pond. Cambridge-1, which will be available for U.K. healthcare researchers to work on pressing problems, is being built on NVIDIA DGX SuperPOD architecture for a whopping 400 petaflops of AI performance. Located at KAO Data, a data center using 100% renewable energy, Cambridge-1 will rank among the world?s top 3 most energy-efficient supercomputers on the current Green500 list. Hamilton points to the concentration of leading healthcare companies in the U.K. as a primary reason for Cambridge-1?s location. AstraZeneca, GSK, Oxford Nanopore and more have already announced their intent to harness the supercomputer for research in the coming months.
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Miracle Qure: Founder Pooja Rao Talks Medical Technology at - Ep. 136

Pooja Rao, a doctor, data scientist and entrepreneur, wants to make cutting-edge medical care available to communities around the world, regardless of their resources. Her startup,, is doing exactly that, with technology that?s used in 150+ healthcare facilities in 27 countries. Rao is the cofounder and head of research and development at the Mumbai-based company, which started in 2016. The company develops AI technology that interprets medical images, with a focus on pulmonary and neurological scans.
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Making Machines More Human: Best-Selling Author Brian Christian on the Alignment Problem - Ep. 135

Not many can claim to be a computer programmer, nonfiction author and poet, but Brian Christian has established himself as all three. Christian has just released his newest book, The Alignment Problem, which delves into the disparity that occurs when AI models don?t do exactly what they?re intended to do. The book follows on the success of Christian?s previous work, "The Most Human Human and Algorithms to Live By." Now a visiting scholar at UC Berkeley, Christian joined AI Podcast host Noah Kravitz to talk about the alignment problem and some new techniques being used to address the issue. The alignment problem can be caused by a range of reasons ? such as data bias, or datasets used incorrectly and out of context. As AI takes on a variety of tasks, from medical diagnostics to parole sentencing decisions, machine learning researchers are expressing concern over the problem. Listen to the full podcast to hear about this and more ? including Christian?s book club experience with Elon Musk and why he chose to double major in philosophy and computer science.
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Sam Liang is making things easier for the creators of the NVIDIA AI Podcast ? and just about every remote worker. He?s the CEO and co-founder of, which uses AI to produce speech-to-text transcriptions in real time or from recording uploads. The platform has a range of capabilities, from differentiating between multiple people, to understanding accents, to parsing through various background noises. And now, is making live captioning possible on a variety of platforms, including Zoom, Skype and Microsoft Teams. Even Liang?s conversation with AI Podcast host Noah Kravitz was captioned in real time over Skype. This new capability has been enthusiastically received by remote workers ? Liang says that has already transcribed tens of millions of meetings. Liang envisions even more practical effects of live captions. The platform can already identify keywords. Soon he thinks it?ll be recognizing action items, helping manage agendas and providing notifications.
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