The AI Podcast

In this episode of the NVIDIA AI Podcast, host Noah Kravitz dives into an illuminating conversation with Alex Fielding, co-founder and CEO of Privateer Space. Fielding is a tech industry veteran, having previously worked alongside Apple co-founder Steve Wozniak on several projects, and holds a deep expertise in engineering, robotics, machine learning and AI. Privateer Space, Fielding?s latest venture, aims to address one of the most daunting challenges facing our world today: space debris. The company is creating a data infrastructure to monitor and clean up space debris, ensuring sustainable growth for the budding space economy. In essence, they?re the sanitation engineers of the cosmos. Privateer is also focused on bolstering space accessibility. All of the company?s datasets and those of its partners are being made available through APIs, so users can more easily build space applications related to Earth observation, climate science and more. Privateer Space is a part of NVIDIA Inception, a free program that offers go-to-market support, expertise and technology for AI startups. During the podcast, Fielding shares the genesis of Privateer Space, his journey from Apple to the space industry, and his subsequent work on communication between satellites at different altitudes. He also addresses the severity of space debris, explaining how every launch adds more debris, including minute yet potentially dangerous fragments like frozen propellant and paint chips. https://blogs.nvidia.com/blog/2023/05/23/privateer-space

Artificial intelligence is teaming up with crowdsourcing to improve the thermo-stability of mRNA vaccines, making distribution more accessible worldwide. In this episode of NVIDIA's AI podcast, host Noah Kravitz interviewed Bojan Tunguz, a physicist and senior system software engineer at NVIDIA, and Johnny Israeli, senior manager of AI and cloud software at NVIDIA. The guests delved into AI's potential in drug discovery and the Stanford Open Vaccine competition, a machine-learning contest using crowdsourcing to tackle the thermo-stability challenges of mRNA vaccines. Kaggle, the online machine learning competition platform, hosted the Stanford Open Vaccine competition. Tunguz, a quadruple Kaggle grandmaster, shared how Kaggle has grown to encompass not just competitions, but also datasets, code, and discussions. Competitors can earn points, rankings, and status achievements across these four areas. The fusion of artificial intelligence, crowdsourcing, and machine learning competitions is opening new possibilities in drug discovery and vaccine distribution. By tapping into the collective wisdom and skills of participants worldwide, it becomes possible to solve pressing global problems, such as enhancing the thermo-stability of mRNA vaccines, allowing for a more efficient and widely accessible distribution process. Don't miss this enlightening conversation on the transformative power of AI and crowdsourcing in mRNA vaccine distribution.

Imagine a future where your vehicle's interior offers personalized experiences and builds trust through human-machine interfaces and artificial intelligence. In this episode of the NVIDIA AI Podcast, host Katie Burke Washabaugh and guest Andreas Binner, Chief Technology Officer at Rightware, delve into this fascinating topic. Rightware is a company at the forefront of developing in-vehicle HMI. Their platform, Kanzi, works in tandem with NVIDIA DRIVE IX to provide a complete toolchain for designing personalized vehicle interiors for the next generation of transportation, including detailed visualizations of the car's AI. Andreas touches on his journey into automotive technology and HMI, the evolution of infotainment in the automotive industry over the past decade, and surprising trends in HMI. They explore the influence of AI on HMI, novel AI-enabled features, and the importance of trust in new technologies. Other topics include the role of HMI in fostering trust between vehicle occupants and the vehicle, the implications of autonomous vehicle visualization, balancing larger in-vehicle screens with driver distraction risks, additional features for trust-building between autonomous vehicles and passengers, and predictions for intelligent cockpits in the next decade. Learn about the innovations that Rightware's Kanzi platform and NVIDIA DRIVE IX bring to the automotive industry and how they contribute to the development of intelligent vehicle interiors. Tune in.

Imagine a stroller that can drive itself, help users up hills, brake on slopes and provide alerts of potential hazards. That?s what GlüxKind has done with Ella, an award-winning smart stroller that uses the NVIDIA Jetson edge AI and robotics platform to power its AI features. Kevin Huang and Anne Hunger are the co-founders of GlüxKind, a Vancouver-based startup that aims to make parenting easier with AI. They?re also married and have a child together who inspired them to create Ella. In this episode of the NVIDIA AI Podcast, host Noah Kravitz talks to Huang and Hunger about their journey from being consumers looking for a better stroller to becoming entrepreneurs who built one. They discuss how NVIDIA Jetson enables Ella?s self-driving capabilities, object detection, voice control and other features that make it stand out from other strollers. The pair also share their vision for the future of smart baby gear and how they hope to improve the lives of parents and caregivers around the world.

Tools like ChatGPT have awakened the world to the potential of generative AI. Now, much more is coming. On the latest episode of NVIDIA?s AI Podcast, Yves Jacquier, executive director of Ubisoft La Forge, shares valuable insights into the transformative potential of generative AI in the gaming industry. With over two decades of experience in technology innovation, science and R&D management across various sectors, Jacquier?s comprehensive expertise makes him a true visionary in the field. During his conversation with podcast host Noah Kravitz, Jacquier highlighted how generative AI, which enables computers to create unique content such as images, text and music, is already revolutionizing the gaming sector. By designing new levels, characters and items, and generating realistic graphics and soundscapes, this cutting-edge technology offers countless opportunities for more immersive and engaging experiences. As the driving force behind Ubisoft La Forge, Jacquier plays a crucial role in shaping the company?s academic R&D strategy. Key milestones include establishing a chair in AI deep learning in 2011 and founding Ubisoft La Forge, the first lab in the gaming industry dedicated to applied academic research ? research that?s being translated into state-of-the-art gaming experiences.

Peter Ma was bored in his high school computer science class. So he decided to teach himself something new: how to use artificial intelligence to find alien life. That?s how he eventually became the lead author of a groundbreaking study published in Nature Astronomy. The study reveals how Ma and his co-authors used AI to analyze a massive dataset of radio signals collected by the SETI Breakthrough Listen project. They found eight signals that might just be technosignatures, or signs of alien technology. In this episode of the NVIDIA AI Podcast, host Noah Kravitz interviews Ma, who is now an undergraduate student at the University of Toronto. Ma tells Kravitz how he stumbled upon this problem and how he developed an AI algorithm that outperformed traditional methods in the search for extraterrestrial intelligence. You can read more about Ma?s research on NVIDIA?s blog: https://blogs.nvidia.com/blog/2023/02/06/ai-potential-alien-signals/

In the quest for knowledge at work, it can be tempting to think that finding what you need is like a needle in a haystack. But what if the haystack itself could show you where the needle is? That's the promise of large language models, or LLMs as they?re known, and it's the subject of a this week?s episode of NVIDIA?s AI Podcast featuring Deedy Das and Eddie Zhou, founding engineers at Glean, in conversation with our host, Noah Kravitz. With large-language models, the haystack can become a source of intelligence, helping guide knowledge workers on what they need to know. Glean is a Silicon Valley startup focused on providing better tools for enterprise search by indexing everything employees have access to in the company, including Slack, Dropbox, and email. The company raised a Series C financing round last year, valuing the company at $1 billion. By indexing everything employees have access to in the company, LLMs can provide a comprehensive view of the enterprise and its data, making it easier to find the information needed to get work done. In the podcast, Das and Zhou discuss the challenges and opportunities of bringing LLMs into the enterprise, and how this technology can help people spend less time searching and more time working. https://blogs.nvidia.com/blog/2023/03/01/glean-llm-enterprise-search/

Surfers, swimmers, and beachgoers face a hidden danger in the ocean: rip currents. These narrow channels of water can flow away from the shore at speeds up to 2.5 meters per second, making them one of the biggest safety risks for those enjoying the ocean. To help keep beachgoers safe, Dr. Christo Rautenbach, a coastal and estuarine physical processes scientist, has teamed up with the National Institute of Water and Atmospheric Research in New Zealand to develop a real-time rip current identification tool using deep learning. On this episode of the NVIDIA AI podcast, host Noah Kravitz interviews Dr. Rautenbach about the technology behind the rip current detection tool. The tool was developed by Dr. Rautenbach and NIWA in collaboration with Surf Lifesaving New Zealand and achieved a detection rate of roughly 90% in trials. The research behind the technology was published in the November 22nd edition of the journal Remote Sensing. Dr. Rautenbach explains how AI can be used to identify rip currents, a critical step in keeping beachgoers safe. He shares the research behind the technology and the results of the trials, as well as the potential for this tool to be used globally to help reduce the number of fatalities caused by rip currents. Tune in. https://blogs.nvidia.com/blog/2023/02/15/rip

Artificial intelligence is the new electricity. The fifth industrial revolution. And companies that go all-in on AI are reaping the rewards. So how do you make that happen? That big question ? how? ? is explored by Nitin Mittal, Principal at Deloitte, one of the world?s largest professional services organizations, and co-author Thomas Davenport in their new book "All-In On AI: How Smart Companies Win Big with Artificial Intelligence.? On the latest episode of NVIDIA?s AI Podcast, host Noah Kravitz speaks with Mittal, who leads Deloitte's artificial intelligence growth platform spoke about how companies across a wide variety of industries used AI to radically transform their organizations and achieve competitive advantage. The book, from the Harvard Business Review Press, explores the importance of a company-wide commitment to AI and the role of leadership in driving the adoption and implementation of AI. Mittal emphasizes that companies must have a clear strategy and plan, and invest in the necessary technology and talent to make the most of AI.

In the latest episode of the NVIDIA AI Podcast, host Noah Kravitz is joined by Pat Grady and Sonya Huang, partners at Sequoia Capital, to discuss their recent essay, ?Generative AI: A Creative New World.? The authors delve into the potential of generative AI to enable new forms of creativity and expression, as well as the challenges and ethical considerations of this technology. They also offer insights into the future of generative AI. Grady and Huang emphasize the potential of generative AI to revolutionize industries such as art, design and media by allowing for the creation of unique, personalized content on a scale that would be impossible for humans to achieve alone. They also address the importance of considering the ethical implications of the technology, including the potential for biased or harmful outputs and the need for responsible use and regulation. Listen to the full episode to hear more about the possibilities of generative AI and the considerations to be made as this technology moves forward.

When NVIDIA co-founder Chris Malachowsky approached University of Florida Provost Joe Glover with the offer of an AI supercomputer, he couldn't have predicted the transformative impact it would have on the university. In just a short time, UF has become one of the top public colleges in the US and developed a groundbreaking neural network for healthcare research. In a recent episode of NVIDIA?s AI Podcast, host Noah Kravitz sat down with Joe Glover, provost and senior vice president of academic affairs at the University of Florida. The two discussed the university?s efforts to put AI to work across all aspects of higher education, including a public-private partnership with NVIDIA that has helped transform UF into one of the leading AI universities in the country. Just a year after the partnership was unveiled in July 2020, UF rose to number five on the US News and World Report?s list of the best public colleges in the US. The ranking was, in part a recognition of UF?s vision for infusing AI into its teaching and research. https://blogs.nvidia.com/blog/2023/01/04/university-of-florida-ai/

All of us recycle. Or, at least, all of us should. Now, AI is joining the effort. On the latest episode of the NVIDIA AI Podcast, host Noah Kravitz spoke with JD Ambati, founder and CEO of EverestLabs, developer of RecycleOS, the first AI-enabled operating system for recycling. The company reports that an average of 25-40% more waste is being recovered in recycling facilities around the world that use its tech.

Training, testing and validating autonomous vehicles requires a continuous pipeline ? or data factory ? to introduce new scenarios and refine deep neural networks. A key component of this process is simulation. AV developers can test a virtually limitless number of scenarios, repeatably and at scale, with high-fidelity, physically based simulation. And like much of the technology related to AI, simulation is constantly evolving and improving, getting ever nearer to closing the gap between the real and virtual worlds. NVIDIA DRIVE Sim, built on Omniverse, provides a virtual proving ground for AV testing and validation. It?s a highly accurate simulation platform with the ability to enable groundbreaking tools, including synthetic data generation and neural reconstruction, to build digital twins of driving environments and scenarios. Matt Cragun, senior product manager for AV simulation at NVIDIA, joined the AI Podcast to discuss the development of simulation for self-driving technology, detailing the origins and inner workings of DRIVE Sim. He also provided a sneak peek into the frontiers researchers are exploring for this critical testing and validation technology. https://blogs.nvidia.com/blog/2022/12/07/autonomous-vehicles-simulation/

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. https://blogs.nvidia.com/blog/2022/11/15/sports-highlights/

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 track.org, 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 https://peerj.com/articles/13779/.

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.

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.

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.

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. https://blogs.nvidia.com/blog/2022/09/14/gatik-podcast/

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 Rendered.ai, 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. https://blogs.nvidia.com/blog/2022/08/31/rendered-ai/

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.

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.

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. https://blogs.nvidia.com/blog/2022/07/06/lucid-motors-podcast/

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 bnomial.com. Think of it as Wordle for those who want to learn more about machine learning.

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.

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. https://blogs.nvidia.com/blog/2022/06/08/deep-learning-james-webb-space-telescope/

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.

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.

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).

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. https://blogs.nvidia.com/blog/2022/04/13/mlcommons/

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.

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.

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. https://blogs.nvidia.com/blog/2022/03/02/whats-a-recommender-system-2/

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. https://blogs.nvidia.com/blog/2022/2/16/exaggeration-detector-podcast/

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. https://blogs.nvidia.com/blog/2022/02/09/sarah-tariq-software-defined-vehicles

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.

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. https://blogs.nvidia.com/blog/2022/01/19/morf-gallery-ceo-scott-birnbaum/

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. https://blogs.nvidia.com/blog/2021/01/05/nick-walton-ai-podcast/

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. https://blogs.nvidia.com/blog/2021/12/15/kai-fu-lee-ai-2041/

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. https://blogs.nvidia.com/blog/2021/12/01/steven-frank-ai-art/

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. https://blogs.nvidia.com/blog/2021/11/18/jeremy-dertien-tigers-united/

?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: https://blogs.nvidia.com/blog/2021/11/03/migel-tissera/

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. https://blogs.nvidia.com/blog/2021/10/20/ai-pottery-anthropology/

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. https://blogs.nvidia.com/blog/2021/10/06/lyricstudio-ai-podcast/

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.

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. https://blogs.nvidia.com/blog/2021/09/08/gantheftauto/

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. https://blogs.nvidia.com/blog/2021/08/25/ge-ai-energy/

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. blogs.nvidia.com/blog/2021/08/10/lending-a-helping-hand-jules-anh-tuan-nguyen-on-building-a-neuroprosthetic

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. https://blogs.nvidia.com/blog/2021/07/28/matt-ginsberg-ai-podcast/

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. https://blogs.nvidia.com/blog/2021/07/14/liila-isaac-sim/