The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Rivian Automotive, Inc. ( RIVN) Discusses AI-Centric Approach to Vehicle Autonomy and Technology Roadmap December 11, 2025 12:00 PM EST Please welcome RJ Scaringe, Founder and Chief Executive Officer ...

The evolution of software architecture is contributing to increasing energy consumption.

We conclude that brain states are shaped by local circuit mechanisms, large-scale connectivity and neuromodulation. A unified multiscale theory of cortical dynamics is relevant not only for ...

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

The race to understand the brain has just crossed a new threshold, with a supercomputer-driven model that behaves less like a ...

The human mind is turning out to be far stranger and more intricate than the tidy diagrams in old biology textbooks ever ...

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...

The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical ...