In the fall of 2018, the University of California tasked a team of researchers with identifying projects from which it could confidently purchase carbon offsets that would reliably cancel out greenhouse gas emissions across its campuses. They found next to nothing.
The findings helped prompt the entire university system to radically rethink its sustainability plans. Now the researchers are sharing the lessons they learned over the course of the project, in the hopes of helping other universities and organizations consider what role, if any, offsets should play in sustainability strategies, MIT Technology Review can report.
The project’s leaders have three main takeaways for what others should do. Read our story to find out what they are.
Google DeepMind’s new AI tool helped create more than 700 new materials
The news: Google DeepMind has created a tool that uses deep learning to dramatically speed up the process of discovering new materials. The technology, which is called graphical networks for material exploration (GNoME), has already been used to predict structures for 2.2 million new materials, of which more than 700 have gone on to be created and tested in the lab.
Why it matters: From EV batteries to solar cells to microchips, new materials can supercharge technological breakthroughs. But discovering them usually takes months or even years of trial-and-error research. Thanks to GNoME, the number of known stable materials has grown almost tenfold, to 421,000. Read the full story.