Look Up Say More Versus Creator Hub Switch Off Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Trending Now Safety Net In My Bag VidCon with Mashable Back to School Furtastic All Series Garmin's most affordable fitness watch delivers impressive features without the premium price. Weeks of battery vs. days: How Garmin helps runners 6:59 'Enola Holmes 3' trailer sees Millie Bobby Brown back on the case The Forerunner 70 is Garmin's new, entry-level smart fitness watch . At $250, it's Garmin's cheapest device, but does it behave like one? CNET Senior Video Producer Owen Poole swaps his premium Garmin for the Forerunner 70 to see how it stacks up. The New Siri AI Is Great if You Do These Things First A few simple setup steps can make Apple's upgraded Siri far more useful in everyday life.

As the UK hosts the first global AI safety summit, Guardian science editor Ian Sample joins Madeleine Finlay to look on the bright side and consider some of the huge benefits AI could bring to science.

This came during a discussion with Venkat Viswanathan about the potential for electric aviation--an exciting prospect as well as a huge challenge, given the steep demands on batteries during flight. In our discussion, Viswanathan said one of the reasons he saw hope for electric aviation is the potential of AI to speed up battery research. In fact, he cofounded a startup called Aionics in 2020 to bring AI into battery development. On stage at ClimateTech, Viswanathan announced a new research partnership that he says could make AI a key force in developing future EV batteries. The deal is between Aionics and Cellforce, a German battery maker that's a subsidiary of Porsche.

If you're on Twitter and follow news about China, you likely have heard a pretty wild rumor recently: that President Xi Jinping was under house arrest and that there was about to be a major power grab in the country. First of all, let's be very clear: this report is false and should not be taken seriously. No credible sources on China have bought it. But it's interesting to dissect how a ridiculous rumor could be elevated and spread so widely that it made it to Twitter's deeply flawed trending list over the weekend, thanks to influencer translation and amplification from accounts based in India. This story is from China Report, MIT Technology Review's new newsletter giving you the inside scoop on what's happening in China.

Using artificial intelligence to analyse vast amounts of data in atomic-scale images, researchers answered long-standing questions about an emerging type of rechargeable battery posing competition to lithium-ion chemistry.

Inside a lab at Stanford University's Precourt Institute for Energy, there are a half dozen refrigerator-sized cabinets designed to kill batteries as fast as they can. Each holds around 100 lithium-ion cells secured in trays that can charge and discharge the batteries dozens of times per day. Ordinarily, the batteries that go into these electrochemical torture chambers would be found inside gadgets or electric vehicles, but when they're put in these hulking machines, they aren't powering anything at all. Instead, energy is dumped in and out of these cells as fast as possible to generate reams of performance data that will teach artificial intelligence how to build a better battery. In 2019, a team of researchers from Stanford, MIT, and the Toyota Research Institute used AI trained on data generated from these machines to predict the performance of lithium-ion batteries over the lifetime of the cells before their performance had started to slip.

SAN RAMON, California – Tesla is working on new battery technology that CEO Elon Musk says will enable the company within the next three years to make sleeker, more affordable cars that can travel dramatically longer distances on a single charge. But the battery breakthroughs that Musk unveiled Tuesday at a highly anticipated event didn't impress investors. They were hoping Tesla's technology would mark an even bigger leap forward and propel the company's soaring stock to even greater heights. Tesla's shares shed more than 6 percent in extended trading after Musk's presentation. That deepened a downturn that began during Tuesday's regular trading session as investors began to brace for a potential letdown.

Washington D.C.: With the help of machine learning and artificial intelligence researchers are accelerating the power of batteries. Researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory have turned to the power of machine learning and artificial intelligence to dramatically accelerate the process of battery discovery, according to the study published in -- Chemical Science. As described in two new papers, Argonne researchers first created a highly accurate database of roughly 133,000 small organic molecules that could form the basis of battery electrolytes. To do so, they used a computationally intensive model called G4MP2. This collection of molecules, however, represented only a small subset of 166 billion larger molecules that scientists wanted to probe for electrolyte candidates.

With the help of machine learning and artificial intelligence researchers are accelerating the power of batteries. Researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory have turned to the power of machine learning and artificial intelligence to dramatically accelerate the process of battery discovery, according to the study published in -- Chemical Science. As described in two new papers, Argonne researchers first created a highly accurate database of roughly 133,000 small organic molecules that could form the basis of battery electrolytes. To do so, they used a computationally intensive model called G4MP2. This collection of molecules, however, represented only a small subset of 166 billion larger molecules that scientists wanted to probe for electrolyte candidates.

Washington D.C. [USA], Nov 29 (ANI): With the help of machine learning and artificial intelligence researchers are accelerating the power of batteries.