An AI challenge only humans can solve
In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.
In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.
Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.
The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.
Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.
Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.
MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.
Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.