Latest from MIT Tech Review – Geoffrey Hinton tells us why he’s now scared of the tech he helped build

I met Geoffrey Hinton at his house on a pretty street in north London just four days before the bombshell announcement that he is quitting Google. Hinton is a pioneer of deep learning who helped develop some of the most important techniques at the heart of modern artificial intelligence, but after a decade at Google,…

Latest from MIT Tech Review – Deep learning pioneer Geoffrey Hinton quits Google

Geoffrey Hinton, a VP and Engineering Fellow at Google—and a pioneer of deep learning who developed some of the most important techniques at the heart of modern AI—is leaving the company after 10 years, the New York Times reported today. According to the Times, Hinton says he has new fears about the technology he helped…

Latest from MIT Tech Review – A chatbot that asks questions could help you spot when it makes no sense

AI chatbots like ChatGPT, Bing, and Bard are excellent at crafting sentences that sound like human writing. But they often present falsehoods as facts and have inconsistent logic, and that can be hard to spot.  One way around this problem, a new study suggests, is to change the way the AI presents information. Getting users…

Latest from MIT : Deep-learning system explores materials’ interiors from the outside

Maybe you can’t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their new approach allows engineers to figure out what’s going on inside simply by observing properties of the…

Latest from Google AI – An ML-based approach to better characterize lung diseases

Posted by Babak Behsaz, Software Engineer, and Andrew Carroll, Product Lead, Genomics The combination of the environment an individual experiences and their genetic predispositions determines the majority of their risk for various diseases. Large national efforts, such as the UK Biobank, have created large, public resources to better understand the links between environment, genetics, and…

Latest from MIT Tech Review – The future of generative AI is niche, not generalized

The relentless hype surrounding generative AI in the past few months has been accompanied by equally loud anguish over the supposed perils — just look at the open letter calling for a pause in AI experiments. This tumult risks blinding us to more immediate risks — think sustainability and bias — and clouds our ability…

Latest from MIT Tech Review – EmTech Digital begins May 2

EmTech Digital, MIT Technology Review’s signature AI conference, is May 2-3, 2023. This year’s event looks at the game-changing power of generative AI, the technology, and the legal implications of generated content. Leaders from OpenAI, Google, Meta, NVIDIA, and more are expected to discuss the future of AI. Join in-person on the MIT campus or online…

Latest from Google AI – Robust and efficient medical imaging with self-supervision

Posted by Shekoofeh Azizi, Senior Research Scientist, and Laura Culp, Senior Research Engineer, Google Research Despite recent progress in the field of medical artificial intelligence (AI), most existing models are narrow, single-task systems that require large quantities of labeled data to train. Moreover, these models cannot be easily reused in new clinical contexts as they…