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Google brings ASL-to-text translation to Pixel 11
Versus Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Creator Hub Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now Safety Net In My Bag VidCon with Mashable All Series Ahead of Made by Google, DeepMind revealed a new Pixel 11 feature that lets people sign instead of type. Olivia Tauber is the deputy editor of digital culture, covering creators, media, movies, beauty, and more. Based in New York, her work has appeared in The New York Times, Vanity Fair, The Cut, Teen Vogue, Complex, and Interview Magazine. She holds a Master's degree in Journalism from NYU and a Bachelor's from the University of Michigan. She also runs Fan Mail, a weekly pop-culture newsletter.
DeepMind's newest model allows Pixel 11 devices to transcribe sign language into text
Smartphones have long offered voice-to-text transcription, but the same can't be said for sign-language-to-text. That's changing today with the launch of the Pixel 11 family, which marks the debut of DeepMind's new sign-language-to-text (SL2T) model. Google has embedded the model inside of Gboard and Live Transcribe, where it will allow deaf and hard of hearing users to sign to their phone anywhere where they would have normally typed in the past. In practice, that will give those users a faster, more natural way to search the web, write messages and converse with Google's Gemini chatbot. "There is great diversity among deaf people in terms of their level of proficiency in signing, speaking, reading, and writing, so it is important to support access in all modalities," says DeepMind.
AI for science needs reasoning, not just data
AI agents that can model the human process of research will accelerate discoveries in science. Every few decades, someone announces that science has reached its end. In 1903, the revered physicist Albert Michelson wrote that the "facts of physical science have all been discovered." In the 1980s, Stephen Hawking predicted that theoretical physics might be finished by the end of the century. With the explosive arrival of artificial intelligence, the feeling is in the air again--this time accompanied by a Nobel Prize. In 2024, Demis Hassabis and John Jumper of Google DeepMind were awarded part of the Nobel in chemistry for their neural network AlphaFold, which predicts the three-dimensional structures of proteins by learning from thousands of experimentally measured shapes.
Google DeepMind enters a new era as co-founder Demis Hassabis shifts AI role
When Sir Demis Hassabis said AI had brought the world to a "pivotal moment in human history" last month, he knew another big change was imminent. This shift was closer to home. The Nobel prize-winning head of Google DeepMind, Google's AI unit, announced this week he was relinquishing his day-to-day duties as chief executive and becoming chair. He is also taking on the role of chief scientist at DeepMind's parent, Alphabet. Hassabis and DeepMind have been key players in AI's breakthrough era.
The Download: Google's AI shake-up and Meta's rogue model
Plus: Meta has become the latest firm to say its AI hacked another company. Google's AI empire is being reshaped. After a wave of painful losses in the tech talent wars, delays to its next flagship model, and murmurings of poor morale, Google has announced a major shake-up to its AI operations. Here's a quick rundown of what's happened and why it matters. DeepMind will now be led by CTO Koray Kavukcuoglu, under the title of senior vice-president. DeepMind may be absorbed into Google's wider business Google is expected to tighten its control over the AI lab, which it acquired 12 years ago.
Where Did All the Computer-Science Professors Go?
Where Did All the Computer-Science Professors Go? AI companies are stripping universities of their best researchers. Anthropic has poached such an array of high-profile professors that it has become a punch line in academia. "'I'm joining Anthropic' is the new meme right now," Subbarao Kambhampati, a computer-science professor at Arizona State University (who has not joined Anthropic), told us. This month, the AI company hired the chair of UC Berkeley's department of electrical engineering and computer science, presumably to help build more capable bots. Perhaps more surprisingly, Anthropic has in recent weeks also picked up a Stanford economist, a theoretical physicist from the University of Maryland, and an analytic philosopher from UT Austin.
Claude Science is Anthropic's newest flagship product
At an event for pharmaceutical executives, biotech founders, and researchers on Tuesday, Anthropic announced Claude Science, a major new product intended to support scientific research in the same way that Claude Code supports software engineering. Like Claude Code, Claude Science can autonomously carry out meaningful work when given concise, high-level instructions, and it has access to tools that make it particularly useful for research in computational biology and drug development. Along with launching and previewing Claude Science, which is now available to all paid Claude subscribers, Anthropic also announced that it will be using the product to pursue some of its own research into drugs for rare, neglected diseases. This is not Anthropic's first foray into AI for science. In October, the company released plug-ins that help Claude make use of scientific software and databases under the heading "Claude for Life Sciences." But unlike this earlier release, Claude Science is a full-featured, standalone product. Anthropic's decision to elevate Claude Science to the same rank as Claude Code and Claude Cowork indicates that the company is taking AI's scientific applications very seriously--or at least wants to give the impression that it is.
'There's this deep mystery of what, actually, is this thing?': the philosopher inside Google DeepMind
'There's this deep mystery of what, actually, is this thing?': the philosopher inside Google DeepMind AI Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate - and think through - the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any difference? In 2017, a 33-year-old political philosopher named Iason Gabriel was told by a friend that he ought to apply for a job at DeepMind, the London-based subsidiary of Google where much of its AI research was concentrated. The suggestion was not an obvious one. Gabriel was a cheerful but intense junior academic with a passion for Vipassana meditation and what his brother calls "enthusiastic" rock climbing. At the University of Oxford, where he was a fellow at St John's College, Gabriel taught courses on political theory and wrote papers on the moral contortions of "yuppie ethics" and the ethical blind spots of effective altruism. When he wasn't there, he did crisis work for the United Nations Development Programme in Sudan and Lebanon. DeepMind, meanwhile, was the world's leading AI research lab. In part, this was because it had the financial and computational backing of Google, which had bought the company in 2014 for $650m. In part, it was because DeepMind had recently shown it could put those resources to stunning use. In Seoul, in 2016, a DeepMind system called AlphaGo defeated Lee Sedol, a South Korean Go champion, in a five-game match. The victory was significant not least because of Go's legendary complexity; the game has more possible configurations than there are atoms in the universe. Thanks to the fuss around AlphaGo, Gabriel was aware of DeepMind.
The Download: a reality check for geoengineering and the science of interoception
Plus: SpaceX is now valued higher than Amazon. Solar geoengineering, the controversial idea that we could deliberately intervene in the climate system to counteract global warming, is moving beyond computer simulations and into the practical engineering challenges required to make it real. Researchers are now working on aircraft, materials, and other systems for solar geoengineering. But as they delve into these details, they're finding that even early deployment would require significant new infrastructure, time, and investment. Find out what happens when solar geoengineering encounters the realities of trying to cool the planet . Scientists have a word for how we sense ourselves from the inside: interoception.