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ChatGPT - 1 Kimberly Powell - 1 Google's - 1 — - 1 AlphaFold - 1 Powell - 1 Rau - 1 Lilly - 1
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Nvidia - 2 CNBC Technology - 1 Summit - 1 University of Texas - 1 Austin - 1 NVIDIA - 1 biosciences - 1 UT's Institute - 1

Search resuls for: "Foundations of Machine"


2 mentions found


☆ Generative AI will be designing new drugs all on its own in the near future
  + stars: | 2024-05-05 | by ( Trevor Laurence Jockims | ) www.cnbc.com   time to read: +12 min
An analogy for understanding the development of AI drugs can be found in the mechanisms of ChatGPT. As a result, it's a drug discovery process that has a 90% failure rate. Some of the noted flaws of generative AI, its propensity to "hallucinate" for example, could prove to be powerful in drug discovery. AI is learning to distinguish drugs from non-drugs, and to create new drugs, in the same way that ChatGPT can create sentences, Ellington said. Now, AI models are helping narrow down the possibilities, so scientists more quickly know the optimal modifications to try.
Persons: ChatGPT, Kimberly Powell, Google's, —, AlphaFold, Powell, Rau, Lilly, Eli Lilly, Diogo Rau, It's, Amgen, Andy Ellington, Ellington, Daniel Diaz, Diaz, We've Organizations: Nvidia, CNBC Technology, Summit, University of Texas, Austin, NVIDIA, biosciences, UT's Institute, Foundations of Machine, Cadence Locations: Nature
☆ Nvidia and Georgia Tech announce first AI supercomputer for students
  + stars: | 2024-04-10 | by ( Hayden Field | ) www.cnbc.com   time to read: +2 min
Nvidia and the Georgia Institute of Technology announced Wednesday the first artificial intelligence supercomputer designed for student use. At first, only Georgia Tech's undergraduate students will be able to use the computing cluster, which is fueled by Nvidia's enterprise AI software and a "virtual gateway" developed by Penguin Solutions. So far, students have used the supercomputer in just one class — foundations of machine learning — since the beginning of the semester, but Georgia Tech plans to continue scaling usage. Georgia Tech's supercomputer runs on 20 Nvidia HGX H100 systems, which house 160 of Nvidia's H100 GPUs, which are high in demand across the tech industry. For reference, it would take one of these 160 GPUs a single second to come up with a multiplication function that would take 50,000 students 22 years, according to a Georgia Tech release.
Persons: Jensen Huang, Raychowdhury Organizations: Nvidia, Georgia Institute of Technology, Penguin Solutions, Georgia Tech, Georgia Tech's School of Electrical, Computer Engineering, CNBC, Arizona State University, ChatGPT Enterprise, Georgia Tech's Locations: Georgia
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