Brendon Cassidy, CTO and chief scientist at Super Hi-Fi, uses AI to give everyone the experience of a radio station tailored to their unique tastes. Super Hi-Fi, an AI startup and member of the NVIDIA Inception program, develops technology that produces smooth transitions, intersperses content meaningfully and adjusts volume and crossfade. Started three years ago, Super Hi-Fi first partnered with iHeartRadio and is now also used by companies such as Peloton and Sonos. Results are showing that users like this personalized approach. Cassidy notes that they tested MagicStitch, one of their tools that eliminates the gap between songs, and found that customers listening with MagicStitch turned on spent 10 percent more time streaming music. https://blogs.nvidia.com/blog/2020/12/23/super-hifi-ai/

Anima Anandkumar is setting a personal record this week with seven of her team’s research papers accepted to NeurIPS 2020. The 34th annual Neural Information Processing Systems conference is taking place virtually from Dec. 6-12. The premier event on neural networks, NeurIPS draws thousands of the world’s best researchers every year. Anandkumar, NVIDIA’s director of machine learning research and Bren professor at CalTech’s CMS Department, joined AI Podcast host Noah Kravitz to talk about what to expect at the conference, and to explain what she sees as the future of AI. https://blogs.nvidia.com/blog/2020/12/09/neurips-nvidia-caltech-anima-anandkumar/

We've got an expert on AI powered translation joining us on the show today. Spence Green is CEO at Lilt, a Silicon Valley based AI-powered enterprise translation software and services company. Lilt's mission is to make more of the world's information accessible to more of the world's people, regardless of where they were born and what language they speak. Spence is here to talk to us about how they're doing it.

Pindar Van Arman, an American artist and roboticist, designs painting robots that explore the differences between human and computational creativity. Since his first system in 2005 he has built multiple artificially-creative robots. The most famous, Cloud Painter, was awarded first place at Robotart 2018. PIndar, his robots, and their work have been featured all over the media, including on NPR, BBC, HBO, Vice, and the documentary "Machine" a film about artificial intelligence. You can see and learn more about Pindar on his website, cloudpainter.com. In fact, unless you're driving, you should go ahead and load it into your browser right now, so you can look at the art you listen to him talk. For more from Pindar Van Arman, check out: http://www.cloudpainter.com http://www.artonomo.us And explore his work on NVIDIA's AI Art Gallery: https://www.nvidia.com/ai-art-gallery/pindar-van-arman

Jeff Herbst, VP of business development at NVIDIA and head of NVIDIA Inception, shares his extensive journey in the AI startup ecosystem. He discusses NVIDIA's evolution from a graphics manufacturer to a leader in AI technology and the critical role of data in modern development. Herbst highlights how NVIDIA Inception accelerates startups with training and resources, featuring success stories like Baba Labs. He underscores the importance of adaptability and strong leadership for entrepreneurs navigating the fast-changing AI landscape.

Today we're talking graphics, the intersection of AI and graphics specifically. There may be no better guest to talk AI and graphics than our guest today, David Luebke. David is vice president of graphics research at NVIDIA. He co-founded NVIDIA Research in 2006, after eight years on the faculty of the University of Virginia.

It’s a modern television trope – detectives trying to solve a case “enhance” a blurry image, digitally, giving them a crystal clear image of their suspect. Until recently, this was little more than science fiction. Now, however, it’s a key tool for photographers around the world. Topaz Labs pioneered the intersection of deep learning and photo noise reduction. Their sprawling suite of image editing plugins are relied by pro and amateur photographers alike. We spoke with Topaz founder and CTO, Feng “Albert” Yang, to learn where AI and photography are going next.

It's all come full circle. Real-time graphics technology, namely, GPUs, sparked the modern AI boom. Now modern AI, driven by GPUs, is remaking graphics. This episodes guest is Aaron Lefohn, senior director of realtime rendering research at NVIDIA. Aaron's international team of scientists played a key role in founding the field of AI computer graphics. They were the first to bring AI to real-time computer graphics. They invented key technologies that brought ray tracing to real time computer graphics. Now they're at the forefront of combining AI and ray tracing to rapidly increase the realism of real-time graphics.

Hugging Face is more than just an adorable emoji — it’s a company that’s demystifying AI by transforming the latest developments in deep learning into usable code for businesses and researchers. Research engineer Sam Shleifer spoke with AI Podcast host Noah Kravitz about Hugging Face NLP technology, which is in use at over 1,000 companies, including Apple, Bing and Grammarly, across fields ranging from finance to medical technology. Hugging Face’s models serve a variety of purposes for their customers, including autocompletion, customer service automation and translation. Their popular web application, Write with Transformer, can even take half-formed thoughts and suggest options for completion. Shleifer is currently at work developing models that are accessible to everyone, whether they are proficient coders or not. In the next few years, Shleifer envisions the continued growth of smaller NLP models that power a wave of chat apps with state-of-the-art translation capabilities.

Michael Kirk and Raphael Attie, scientists at NASA’s Goddard Space Flight Center, regularly face terabytes of data in their quest to analyze images of the sun. This computational challenge, which could take a year or more on a CPU, has been reduced to less than a week on Quadro RTX data science workstations. Kirk and Attie spoke to AI Podcast host Noah Kravitz about the workflow they follow to study these images, and what they hope to find. The lessons they’ve learned are useful for those in both science and industry grappling with how to best put torrents of data to work.