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/

Recommender Systems 101: NVIDIA’s Even Oldridge Breaks It Down - Ep. 164

In the latest episode of NVIDIA's AI Podcast, Anant Agarwal, founder of edX and Chief Platform Officer at 2U, shared his vision for the future of online education and the impact of artificial intelligence in revolutionizing the learning experience.

Agarwal, a strong advocate for Massive Open Online Courses MOOCs, discussed the importance of accessibility and quality in education. The MIT professor and renowned edtech pioneer also highlighted the implementation of AI-powered features in the edX platform, including the ChatGPT plugin and edX Xpert, an AI-powered learning assistant.

MIT's Anant Agarwal on AI in Education - Ep. 197

The world increasingly runs on code. 

Accelerating the work of those who create that code will boost their productivity — and that’s just what AI startup Codeium, a member of NVIDIA’s Inception program for startups, aims to do. 

On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz interviewed Codeium founder and CEO Varun Mohan and Jeff Wang, the company’s head of business, about the company's business, about how AI is transforming software.

Codeium's AI-powered code acceleration toolkit boasts three core features: autocomplete, chat and search. 

Autocomplete intelligently suggests code segments, saving developers time by minimizing the need for writing boilerplate or unit tests. 

At the same time the chat function empowers developers to rework or even create code with natural language queries, enhancing their coding efficiency while providing searchable context on the entire code base.

Noah spoke with Mohan and Wang about the future of software development with AI, and the continued, essential role of humans in the process.

Codeium’s Varun Mohan and Jeff Wang on Unleashing the Power of AI in Software Development - Ep. 200

Generative AI-based models can not only learn and understand natural languages — they can learn the very language of nature itself, presenting new possibilities for scientific research.

Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA, was recently invited to speak at the President’s Council of Advisors on Science and Technology. 

At the talk, Anandkumar says that generative AI was described as “an inflection point in our lives,” with discussions swirling around how to “harness it to benefit society and humanity through scientific applications.” 

On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Anandkumar on generative AI’s potential to make splashes in the scientific community. 

It can, for example, be fed DNA, RNA, viral and bacterial data to craft a model that understands the language of genomes. That model can help predict dangerous coronavirus variants to accelerate drug and vaccine research. 

Generative AI can also predict extreme weather events like hurricanes or heat waves. Even with an AI boost, trying to predict natural events is challenging because of the sheer number of variables and unknowns. 

However, Anandkumar explains that it’s not just a matter of upsizing language models or adding compute power — it’s also about fine-tuning and setting the right parameters.

“Those are the aspects we’re working on at NVIDIA and Caltech, in collaboration with many other organizations, to say, ‘How do we capture the multitude of scales present in the natural world?’” she said. “With the limited data we have, can we hope to extrapolate to finer scales? Can we hope to embed the right constraints and come up with physically valid predictions that make a big impact?” 

Anandkumar adds that to ensure AI models are responsibly and safely used, existing laws must be strengthened to prevent dangerous downstream applications.

She also talks about the AI boom, which is transforming the role of humans across industries, and problems yet to be solved. 

“This is the research advice I give to everyone: the most important thing is the question, not the answer,” she said.

Anima Anandkumar on Using Generative AI to Tackle Global Challenges - Ep. 203

For NVIDIA Senior AI Scientist Jim Fan, the video game Minecraft served as the “perfect primordial soup” for his research on open-ended AI agents.

In the latest AI Podcast episode, host Noah Kravitz spoke with Fan on using large language models to create AI agents — specifically to create Voyager, an AI bot built with Chat GPT-4 that can autonomously play Minecraft.

AI agents are models that “can proactively take actions and then perceive the world, see the consequences of its actions, and then improve itself,” Fan said. Many current AI agents are programmed to achieve specific objectives, such as beating a game as quickly as possible or answering a question. They can work autonomously toward a particular output but lack a broader decision-making agency.

Fan wondered if it was possible to have a “truly open-ended agent that can be prompted by arbitrary natural language to do open-ended, even creative things.” 

But he needed a flexible playground in which to test that possibility. 
 
“And that’s why we found Minecraft to be almost a perfect primordial soup for open-ended agents to emerge, because it sets up the environment so well,” he said. Minecraft at its core, after all, doesn’t set a specific key objective for players other than to survive and freely explore the open world.

That became the springboard for Fan’s project, MineDojo, which eventually led to the creation of the AI bot Voyager. 

“Voyager leverages the power of Chat GPT-4 to write code in Javascript to execute in the game,” Fan explained. “GPT-4 then looks at the output, and if there’s an error from JavaScript or some feedback from the environment, GPT-4 does a self-reflection and tries to debug the code.”

The bot learns from its mistakes and stores the correctly implemented programs in a skill library for future use, allowing for “lifelong learning.” 

In-game, Voyager can autonomously explore for hours, adapting its decisions based on its environment and developing skills to combat monsters and find food when needed. 

“We see all these behaviors come from the Voyager setup, the skill library and also the coding mechanism,” Fan explained. “We did not preprogram any of these behaviors.” 

He then spoke more generally about the rise and trajectory of LLMs. He foresees strong applications in software, gaming and robotics and increasingly pressing conversations surrounding AI safety. 

Fan encourages those looking to get involved and work with LLMs to “just do something,” whether that means using online resources or experimenting with beginner-friendly, CPU-based AI models.

NVIDIA’s Jim Fan delves into large language models and their industry impact - Ep. 204

NVIDIA’s Jim Fan Delves Into Large Language Models and Their Industry Impact - Ep. 204

Generative AI and large language models (LLMs) are stirring change across industries — but according to NVIDIA Senior Product Manager of Developer Marketing Annamalai Chockalingam, “we’re still in the early innings.” 

In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Chockalingam about LLMs: what they are, their current state and their future potential.

LLMs are a “subset of the larger generative AI movement” that deals with language. They’re deep learning algorithms that can recognize, summarize, translate, predict and generate language. 

AI has been around for a while, but according to Chockalingam, three key factors enabled LLMs. 

One is the availability of large-scale data sets to train models with. As more people used the internet, more data became available for use. The second is the development of computer infrastructure, which has become advanced enough to handle “mountains of data” in a “reasonable timeframe.” And the third is advancements in AI algorithms, allowing for non-sequential or parallel processing of large data pools. 

LLMs can do five things with language: generate, summarize, translate, instruct or chat. With a combination of “these modalities and actions, you can build applications” to solve any problem, Chockalingam said. 

Enterprises are tapping LLMs to “drive innovation,” “develop new customer experiences,” and gain a “competitive advantage.” They’re also exploring what safe deployment of those models looks like, aiming to achieve responsible development, trustworthiness and repeatability.

New techniques like retrieval augmented generation (RAG) could boost LLM development. RAG involves feeding models with up-to-date “data sources or third-party APIs” to achieve “more appropriate responses” — granting them current context so that they can “generate better” answers.

Chockalingam encourages those interested in LLMs to “get your hands dirty and get started” — whether that means using popular applications like ChatGPT or playing with pretrained models in the NVIDIA NGC catalog.

NVIDIA offers a full-stack computing platform for developers and enterprises experimenting with LLMs, with an ecosystem of over 4 million developers and 1,600 generative AI organizations. To learn more, register for LLM Developer Day on Nov. 17 to hear from NVIDIA experts about how best to develop applications.

NVIDIA’s Annamalai Chockalingam on the Rise of LLMs - Ep. 206

Dotlumen is illuminating a new technology to help persons who are blind or low vision navigate the world. 

In this episode of NVIDIA’s AI Podcast, recorded live at the NVIDIA GTC global AI conference, host Noah Kravitz spoke with the Romanian startup’s founder and CEO, Cornel Amariei, about developing its flagship Dotlumen Glasses. 

Dotlumen is a member of the NVIDIA Inception program for cutting-edge startups. 

Equipped with sensors and powered by AI, the glasses compute a safely walkable path for persons who are blind or low vision, and offer haptic — or tactile — feedback on how to proceed via corresponding vibrations. Amariei further discusses the process and challenges of developing assistive technology and its potential for enhancing accessibility. 

Stay tuned for more episodes recorded live from GTC.

Dotlumen CEO Cornel Amariei on Assistive Technology for the Visually Impaired - Ep. 217

Basecamp Research is on a mission to capture the vastness of life on Earth at an unprecedented scale. Phil Lorenz, chief technology officer at Basecamp Research, discusses using AI and biodiversity data to advance fields like medicine and environmental conservation with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Lorenz explains Basecamp’s systematic collection of biodiversity data in partnership with nature parks worldwide and its use of deep learning to analyze and apply it for use cases such as protein structure prediction and gene editing. He also emphasizes the importance of ethical data governance and touches on technological advancements that will help drive the future of AI in biology.

Basecamp's Phil Lorenz on Combining AI With Biodiversity Data  - Ep. 223

Let’s talk about NeRFs — no, not the neon-colored foam dart blasters, but neural radiance fields, a technology that might just change the nature of images forever. In this episode of NVIDIA’s AI Podcast recorded live at GTC, host Noah Kravitz speaks with Michael Rubloff, founder and managing editor of radiancefields.com, about radiance field-based technologies. NeRFs allow users to take a series of 2D images or video to create a hyperrealistic 3D model — something like a photograph of a scene, but that can be looked at from multiple angles. Tune in to learn more about the technology’s creative and commercial applications and how it might transform the way people capture and experience the world.

Michael Rubloff Explains How Neural Radiance Fields Turn 2D Images Into 3D Models - Ep. 226

Roblox is a colorful online platform that aims to reimagine the way that people come together — now that vision is being augmented by generative AI. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Anupam Singh, vice president of AI and growth engineering at Roblox, on how the company is using the technology to enhance virtual experiences with features such as automated chat filters and real-time text translation, which help build inclusivity and user safety. Singh also discusses how generative AI can be used to power coding assistants that help creators focus more on creative expression, rather than spending time manually scripting world-building features.

How Roblox Uses Generative AI to Enhance User Experiences - Ep. 227

Improved cancer diagnostics — and improved patient outcomes — could be among the changes generative AI will bring to the healthcare industry, thanks to Paige, the first company with an FDA-approved tool for cancer diagnosis. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Paige cofounder and Chief Scientific Officer Thomas Fuchs. He’s also dean of artificial intelligence and human health at the Icahn School of Medicine at Mount Sinai. 

Tune in to hear Fuchs on machine learning and AI applications and how technology brings better precision and care to the medical industry.

Paige Cofounder Thomas Fuchs’ Diagnosis on Improving Cancer Patient Outcomes With AI - Ep. 228

AI is set to transform the workforce — and the Georgia Institute of Technology’s new AI Makerspace is helping tens of thousands of students get ahead of the curve. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Arijit Raychowdhury, a professor and Steve W. Cedex school chair of electrical engineering at Georgia Tech’s college of engineering, about the supercomputer hub, which provides students with the computing resources to reinforce their coursework and gain hands-on experience with AI. Built in collaboration with NVIDIA, the AI Makerspace underscores Georgia Tech’s commitment to preparing students for an AI-driven future, while fostering collaboration with local schools and universities.

How Georgia Tech’s AI Makerspace Is Preparing the Future Workforce for AI - Ep. 268

How Georgia Tech’s AI Makerspace Is Preparing the Future Workforce for AI - Ep. 229

Techbio is a field combining data, technology and biology to enhance scientific processes — and AI has the potential to supercharge the biopharmaceutical industry further.  In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Chris Gibson, cofounder and CEO of Recursion, about how the company uses AI and machine learning to accelerate drug discovery and development at scale. Tune in to hear Gibson discuss how AI is transforming the biopharmaceutical industry by increasing efficiency and lowering discovery costs.

Recursion CEO Chris Gibson on Accelerating the Biopharmaceutical Industry With AI - Ep. 230

Snowflake is using AI to help enterprises transform data into insights and applications. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz and Baris Gultekin, head of AI at Snowflake, discuss how the company’s AI Data Cloud platform enables customers to access and manage data at scale. By separating the storage of data from compute, Snowflake has allowed organizations across the world to connect via cloud technology and work on a unified platform — eliminating data silos and streamlining collaborative workflows.

Snowflake's Baris Gultekin on Unlocking the Value of Data With Large Language Models - Ep. 231

Edward Mehr works where AI meets the anvil.  The company he cofounded, Machina Labs, blends the latest advancements in robotics and AI to form metal into countless shapes for use in defense, aerospace, and more. The company’s applications accelerate design and innovation, enabling rapid iteration and production in days instead of the months required by conventional processes. NVIDIA AI Podcast host Noah Kravitz speaks with Mehr, CEO of Machina Labs, on how the company uses AI to develop the first-ever robotic blacksmith. Its Robotic Craftsman platform integrates seven-axis robots that can shape, scan, trim and drill a wide range of materials — all capabilities made possible through AI.

Machina Labs’ Edward Mehr on Autonomous Blacksmith Bots and More

Machina Labs’ Edward Mehr on Autonomous Blacksmith Bots and More - Ep. 232

Companies in the US spend $15bn annually on talent acquisition. The most important metric in recruitment advertising is the conversion from the paid click on the job platform to the application the employer receives. Industry-wide, apply conversion is just 5%. Redirection of the candidate from the job platform to the company site is the biggest cause of abandonment; this step has a 70% bounce rate. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Mikhil Raja, Cofounder and CEO of SonicJobs, about how they have built AI Agents to enable candidates to complete applications directly on job platforms, without redirection, boosting completion rates to 26% from 5%. Raja delves deep into SonicJobs’ cutting-edge technology, which merges traditional AI with large language models (LLMs) to understand and interact with job application web flows. He also emphasizes the importance of fine-tuning foundational models to achieve more impactful and scalable innovations.

SonicJobs is a member of the NVIDIA Inception program for startups.

SonicJobs CEO Mikhil Raja on Using AI Agents to Connect the Internet, starting with Jobs - Ep. 233

From improving energy efficiency to helping address climate challenges, AI and accelerated computing are becoming key tools in the push for sustainability. In this episode of NVIDIA’s AI Podcast, Joshua Parker, senior director of corporate sustainability, shared his perspective on how these technologies are contributing to a more sustainable future.

https://blogs.nvidia.com/blog/ai-energy-efficiency/

NVIDIA's Josh Parker on How AI and Accelerated Computing Drive Sustainability - Ep. 233

NVIDIA's Josh Parker on How AI and Accelerated Computing Drive Sustainability - Ep. 234

Zoom, a company that helped change the way people work during the COVID-19 pandemic, is continuing to reimagine the future of work by transforming itself into an AI-first communications and productivity platform. 

In this episode of NVIDIA’s AI Podcast, Zoom CTO Xuedong (XD) Huang shares how the company is reshaping productivity with AI, including through its Zoom AI Companion 2.0, unveiled recently at the Zoomtopia conference. 

Designed to be a productivity partner, the AI companion is central to Zoom’s “federated AI” strategy, which focuses on integrating multiple large language models. 

Huang also introduces the concept of “AUI,” combining conversational AI and graphical user interfaces (GUIs) to streamline collaboration and supercharge business performance.

Zoom’s AI-First Transformation to Boost Business Productivity, Collaboration - Ep. 235

Zoom CTO Xuedong "XD" Huang on How AI Revolutionizes Productivity - Ep. 235

In this episode of the NVIDIA's AI Podcast, Louis Stewart, head of strategic initiatives for NVIDIA’s global developer ecosystem, discusses why workforce development is crucial for maximizing AI benefits. He emphasizes the importance of AI education, inclusivity, and public-private partnerships in preparing the global workforce for the future. Engaging with AI tools and understanding their impact on the workforce landscape is vital for ensuring these changes benefit everyone.

https://blogs.nvidia.com/blog/workforce-development-ai/

How AI Is Shaping Workforce Development - Ep. 237

NVIDIA's Louis Stewart on How AI Is Shaping Workforce Development - Ep. 237

In this episode of the NVIDIA AI Podcast, Sara Minkara, U.S. Special Advisor on International Disability Rights, and Timothy Shriver, Chairman of Special Olympics, discuss AI's potential to enhance education and disability inclusion. They emphasize the importance of including disability communities in AI development, as well as the cultural and social benefits of building an inclusive future.

Read the transcript:
https://blogs.nvidia.com/wp-content/uploads/2024/12/AI-Podcast_Disability-Inclusion-and-Education_Transcript.pdf

How AI Can Help Boost Disability Inclusion - Ep. 238

In this episode of the NVIDIA AI Podcast, Kanjun Qiu, CEO of Imbue, explores the emerging era where individuals can create and utilize their own AI agents. Drawing a parallel to the personal computer revolution of the late 1970s and 80s, Qiu discusses how modern AI systems are evolving to work collaboratively with users, enhancing their capabilities rather than just automating tasks. 

Imbue CEO Kanjun Qiu on Transforming AI Agents Into Personal Collaborators - Ep. 239

As AI continues to evolve rapidly, it is becoming more important to create models that can effectively simulate and predict outcomes in real-world environments. World foundation models are powerful neural networks that can simulate physical environments, enabling teams to enhance AI workflows and development. Ming-Yu Liu, vice president of research at NVIDIA and an IEEE Fellow, joined the NVIDIA AI Podcast to talk about world foundation models and how it will impact various industries.
https://blogs.nvidia.com/blog/world-foundation-models-advance-physical-ai/ 
https://www.nvidia.com/cosmos/

How World Foundation Models Will Advance Physical AI With NVIDIA’s Ming-Yu Liu - Episode 240

Margaux Masson-Forsythe, director of machine learning at the Surgical Data Science Collective (SDSC), discusses how AI-driven video analysis is transforming surgical training and practice, making surgery safer and more accessible to billions of people worldwide.

How SDSC Uses AI to Transform Surgical Training and Practice - Episode 241

With AI agents, organizations can reshape the landscape in retail and beyond. In this episode of the NVIDIA AI Podcast, Jon Heller of Firsthand discusses how AI Brand Agents are transforming online shopping and digital marketing by personalizing customer journeys and turning marketing interactions into valuable research data.

Firsthand's Jon Heller Shares How AI Agents Enhance Consumer Journeys in Retail - Episode 242

AI agents with advanced perception and cognition capabilities are making digital experiences more dynamic and personalized across industries. In this episode of the NVIDIA AI Podcast, Inworld AI’s Chris Covert discusses how intelligent digital humans are reshaping interactive experiences, from gaming to healthcare, and emphasizes that the key to meaningful AI experiences lies in focusing on user value rather than just technology.

AI Agents Take Digital Experiences to the Next Level in Gaming and Beyond, Featuring Chris Covert from Inworld AI - Episode 243

Co-founders Sean Blagsvedt and Archana Prasad of Gooey.AI discuss how their platform is making AI more accessible across communities. The platform enables teams to leverage multiple AI tools, enhancing productivity in sectors like agriculture, healthcare, and frontline services. Key applications include multilingual chatbots that support African farmers through WhatsApp and AI assistants that help HVAC technicians access technical documentation. 

AI for Everyone: How Gooey.AI Empowers Global Frontline Workers with Low Code Workflows - Episode 244

In this episode of the NVIDIA AI Podcast, Tara Chklovski, founder and CEO of Technovation, returns to discuss the importance of inclusive AI. With Anshita Saini, a Technovation alumna and OpenAI staff member, Chklovski explores how Technovation empowers girls through AI education and enhances real-world problem-solving skills. Saini shares her journey from creating an app that helped combat a vaping crisis at her high school to taking on her current role at OpenAI. She also introduces Wiser AI, an initiative she founded to support women and underrepresented voices in AI.

Tara Chklovksi, Anshita Saini on Technovation Pioneering AI Education for Innovation - Episode 245

AI is transforming banking by providing hyper-personalized services and real-time insights, enhancing customer experiences and ensuring robust data security. Barb Morgan, chief product and technology officer at Temenos, shares her expertise on how AI is transforming the banking landscape.

Temenos’ Barb Morgan Shares How AI Is Reshaping Banking - Episode 246

Think of our inaugural episode of The AI Podcast as a guide for the perplexed.  Host Michael Copeland speaks with NVIDIA's Will Ramey about the history behind today's AI boom and the key concepts you need to know to get your head around a technology that's reshaping the world.

Ep. 1: Deep Learning 101 - Will Ramey, NVIDIA Senior Manager for GPU Computing

AI is still young, but software is available to help even relatively unsophisticated users harness it. That’s according to Ian Buck, general manager of NVIDIA’s accelerated computing group, who shared his views in our latest AI Podcast. Buck, who helped lay the foundation for GPU computing as a Stanford doctoral candidate, will deliver the keynote address at GTC DC on Nov. 5. To sign up for GTC DC, visit https://nvda.ws/2Jzg7T1 and use the 'GMPOD' promo code for a 20% discount.

NVIDIA’s Ian Buck on What’s Next for the AI Revolution - Ep. 100

The Buck Starts Here: NVIDIA’s Ian Buck on What’s Next for AI - Ep. 100

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. Listen in and get inspired.

https://blogs.nvidia.com/ai-podcast/

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