Google Research has unveiled Titans, a neural architecture using test-time training to actively memorize data, achieving effective recall at 2 million tokens.

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...

Researchers are edging closer to experiments that claim to supply artificial intelligence with a missing ingredient for ...

Discover how cutting-edge smart toilet technology is revolutionizing digestive health and medical diagnosis. This video ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.

Server farm manager overseeing engineer examining neural network algorithms. Data center team leader and worker reviewing performance dashboards of artificial intelligence infrastructure, camera A ...