AI, Quantum Computing Will Accelerate Materials Discovery
Artificial intelligence is helping to accelerate the identification of promising new materials, said Dario Gil, vice president of science and solutions at IBM Research, at the EmTech Digital conference in San Francisco on Monday.
Machine learning software on a laptop can extract the critical information from scientific papers in seconds, enabling the creation of vast knowledge graphs across wide bodies of research in weeks rather than decades, Gil said. It means scientists can apply algorithms and simulations to extract insights from a far bigger pool of patents, papers and other reports than any single person could ever hope to read.
Gil didn’t point to specific breakthroughs to date. But he said IBM is already applying its Watson artificial intelligence system in an effort to discover novel polymers. For all the advances in AI and computing, though, he said even the world’s most powerful supercomputers are still often stumped, such as in trying to predict the electronic structure of molecules. IBM, however, sees great potential here in the rise of quantum computing, which can dramatically accelerate calculations and more closely mimic nature by tapping into the weird properties of quantum physics.
The company unveiled a new quantum chip last year, and earlier this month announced plans to build a cloud-based, commercially-available quantum computing system. “We anticipate that we’re going to see quite dramatic advances in this year and the next, in terms of the power of quantum computers,” he said.
Keep Reading
Most Popular
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Deep learning pioneer Geoffrey Hinton has quit Google
Hinton will be speaking at EmTech Digital on Wednesday.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.