Latest news with #SIGGRAPH2017
The Star
3 days ago
- Science
- The Star
Nvidia-backed AI startup SandboxAQ creates new data to speed up drug discovery
FILE PHOTO: A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, U.S. July 31, 2017. REUTERS/Mike Blake SAN FRANCISCO (Reuters) -SandboxAQ, an artificial intelligence startup spun out of Alphabet's Google and backed by Nvidia, on Wednesday released a trove of data it hopes will speed up the discovery of new medical treatments by helping scientists understand how drugs stick to proteins. The goal is to help scientists predict whether a drug will bind to its target in the human body. But while the data is backed up by real-world scientific experiments, it did not come from a lab. Instead, SandboxAQ, which has raised nearly $1 billion in venture capital, generated the data using Nvidia's chips and will feed it back into AI models that it hopes scientists can use to rapidly predict whether a small-molecule pharmaceutical will bind to the protein that researchers are targeting, a key question that must be answered before a drug candidate can move forward. For example, if a drug is meant to inhibit a biological process like the progression of a disease, scientists can use the tool to predict whether the drug molecule is likely to bind to the proteins involved in that process. The approach is an emerging field that combines traditional scientific computing techniques with advancements in AI. In many fields, scientists have long had equations that can precisely predict how atoms combine into molecules. But even for relatively small three-dimensional pharmaceutical molecules, the potential combinations become far too vast to calculate manually, even with today's fastest computers. So SandboxAQ's approach was to use existing experimental data to calculate about 5.2 million new, "synthetic" three-dimensional molecules - molecules that haven't been observed in the real world, but were calculated with equations based on real-world data. That synthetic data, which SandboxAQ is releasing publicly, can be used to train AI models that can predict whether a new drug molecule is likely to stick to the protein researchers are targeting in a fraction of the time it would take to calculate it manually, while retaining accuracy. SandboxAQ will charge money for its own AI models developed with the data, which it hopes will get results that rival running lab experiments, but virtually. "This is a long-standing problem in biology that we've all, as an industry, been trying to solve for," Nadia Harhen, general manager of AI simulation at SandboxAQ, told Reuters on Tuesday. "All of these computationally generated structures are tagged to a ground-truth experimental data, and so when you pick this data set and you train models, you can actually use the synthetic data in a way that's never been done before." (Reporting by Stephen Nellis; Editing by Leslie Adler)
The Star
11-06-2025
- Business
- The Star
Nvidia, Perplexity partner with European firms to boost local AI models
A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, U.S. July 31, 2017. REUTERS/Mike Blake/File Photo SAN FRANCISCO (Reuters) -Nvidia and artificial intelligence search firm Perplexity on Wednesday said they are partnering with more than a dozen AI firms in Europe and the Middle East to refine those firms' AI technologies and distribute them to local businesses. Nvidia said it will work with model makers in France, Germany, Italy, Poland, Spain and Sweden to help make AI models in local languages become what are called reasoning models, which are capable of carrying out more complicated tasks. AI technologies built in English and Chinese have started to shift to that technology, but that transition is more difficult in languages where less training data is available. Kari Briski, vice president of generative AI software for enterprise at Nvidia, said the company will help model makers generate new data - known as synthetic data - in local languages to help improve them. "We're doing a lot of synthetic data generation to bring to these low-resource languages and translating our reasoning data so that they can train on it," Briski said in an interview Tuesday. "Europe needs strong models that reflect each nation's unique language and culture." Once those local models are trained, Perplexity will help distribute them in Europe, where businesses can run them in local data centers and use them to carry out business tasks such as researching a new topic. Perplexity CEO Aravind Srinivas said Germany is already Perplexity's second largest market by revenue. "That's the kind of system we are heading to in the future, where models are basically doing a few hours' worth of work in one single prompt," Srinivas said. The deal was part of a number of announcements Nvidia made at an AI conference in Paris on Wednesday. Nvidia and Perplexity did not disclose any financial terms of the deal. (Reporting by Stephen Nellis in San Francisco; Editing by Sam Holmes)
The Star
29-05-2025
- Science
- The Star
Nvidia, Dell to supply next US Department of Energy supercomputer
FILE PHOTO: A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, U.S., July 31, 2017. REUTERS/Mike Blake/File Photo BERKELEY, California - (Reuters) -The U.S. Department of Energy on Thursday said its "Doudna" due in 2026 will use technology from Nvidia and Dell. The computer, named for Nobel Prize-winning scientist Jennifer Doudna who made key CRISPR gene-editing discoveries, will be housed at Lawrence Berkeley National Laboratory in Berkeley, California. At an event at the lab attended by Secretary of Energy Chris Wright, officials said that the system will use Nvidia's latest "Vera Rubin" chips built into liquid-cooled servers by Dell and will be used by 11,000 researchers. (Reporting by Stephen Nellis in Berkeley, California)
The Star
23-05-2025
- Business
- The Star
Oracle to buy $40 billion of Nvidia chips for OpenAI's US data center, FT reports
A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, U.S. July 31, 2017. REUTERS/Mike Blake (Reuters) -Oracle will spend around $40 billion on Nvidia's higher-performance chips to power OpenAI's new U.S. data center, the Financial Times reported on Friday. The cloud service provider will purchase around 400,000 of Nvidia's most powerful GB200 chips and lease the computing power to OpenAI, the report said, citing several people familiar with the matter. OpenAI, Nvidia and Oracle did not immediately respond to Reuters' requests for comment. The data center is a part of the U.S. Stargate project, led by top AI firms in the country, to boost America's heft in the artificial intelligence industry amid heating global competition. (Reporting by Zaheer Kachwala in Bengaluru; Editing by Vijay Kishore)
The Star
30-04-2025
- Business
- The Star
Nvidia CEO says Trump should revise AI chip export rules, Bloomberg News reports
A NVIDIA logo is shown at SIGGRAPH 2017 in Los Angeles, California, U.S. July 31, 2017. REUTERS/Mike Blake (Reuters) -Nvidia CEO Jensen Huangsaid he would like the Trump administration to change the regulations related to exporting AI technology from the U.S. for businesses to better capitalize on future opportunities, Bloomberg News reported on Wednesday. The administration is considering changes to a Biden-era regulation that restricts access to advanced U.S. artificial intelligence chips, including possibly eliminating a tiered system that determines how many chips countries can obtain, Reuters reported on Tuesday. The Framework for Artificial Intelligence Diffusion is set to take effect on May 15 and aims to limit the most powerful AI chips and certain model weights from companies like Nvidia to keep cutting-edge computing within the U.S. and its close allies. The White House and Nvidia did not immediately respond to Reuters requests for comment. "I'm not sure what the new diffusion rule is going to be, but whatever it turns out to be, it really has to recognize that the world has changed fundamentally since the previous diffusion rule was released," Huang said in a brief meeting with the media, according to the Bloomberg News report. Earlier in the day, Huang expressed confidence in the company's ability to manufacture chips domestically using the resources available within the U.S., according to an interview by CNBC. (Reporting by Harshita Mary Varghese in Bengaluru)
