Immunai Co-Founder Luis Voloch on Using Deep Learning to Develop New Drugs

Mapping the immune system could lead to the creation of drugs that 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 biotech company that’s using cutting-edge genomics & ML technology to map the human immune system Read article >

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Artem Cherkasov and Olexandr Isayev on Democratizing Drug Discovery With NVIDIA GPUs

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 Read article >

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A Devotion to Emotion: Hume AI’s Alan Cowen on the Intersection of AI and Empathy

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 Read article >

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MLCommons’ David Kanter, NVIDIA’s David Galvez on Improving AI with Publicly Accessible Datasets

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. Read article >

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Podsplainer: What’s a Recommender System? NVIDIA’s Even Oldridge Breaks It Down

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. Read article >

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