AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...
Researchers at DeepMind, the artificial intelligence research division of Alphabet Inc., have created software that’s able to solve difficult geometry proofs that are often used to test the brightest ...
Agricultural product drying is a critical process for ensuring food safety and enhancing added value. From grains to fruits and vegetables, fresh agricultural products are prone to spoilage due to ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Daniela Rus has some experience with a ground-breaking new idea, Liquid Neural Networks, that seems to solve some of AI's notorious complexity problems, in part, by using fewer yet more powerful ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...
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