eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Massachusetts Institute of Technology (MIT) has made a big ...
Cooking well takes patience, time, practice, and skill, and so is it possible for a machine to do what professional human chefs take years to perfect? According to new research from MIT, perhaps so. A ...
Deep learning neural networks are artificial intelligence systems that are being used for increasingly important decisions. Deep learning neural networks are used for tasks as varied as autonomous ...
The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...
Computers aren't just getting faster these days--they're getting smarter. That's thanks largely to artificial neural networks, which consist of multiple nodes of processing designed to interpret and ...
A group of MIT researchers recently developed an AI model that takes a list of instructions and generates a finished product. The future implications for the fields of construction and domestic ...
MIT’s Lincoln Laboratory Intelligence and Decision Technologies Group yesterday unveiled a neural network capable of explaining its reasoning. It’s the latest attack on the black box problem, and a ...
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A new type of neural network that's capable of adapting its underlying behavior after the initial training phase could be the key to big improvements in situations where conditions can change quickly ...
Head over to our on-demand library to view sessions from VB Transform 2023. Register Here Deep neural networks — layers of mathematical functions modeled after biological neurons — are a versatile ...
The type of artificial intelligence known as a neural network can be trained to complete tasks once thought to be exclusive to humans, such as driving a car, creating visual art, or composing a heavy ...
A new technique developed by MIT researchers harnesses radio waves to help neural networks spot what someone is doing through a wall. Researchers trained a neural network to recognize people's ...
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