A new, more life-like physical model of microscopic nerve fibers called axons could speed up the discovery of medicines for ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Researchers demonstrates a revolutionary AI foundation model capable of predicting human brain activity from multisensory stimuli.

Cortical Labs says the stunt points toward a new kind of low-power computing—and perhaps a new way to study neurological ...

The company’s chief executive, Elon Musk, said this week that it would stop making the car, an electric pioneer in 2012, as well as the Model X. By Neal E. Boudette Thirteen years ago, Mike Ramsey, an ...

Alibaba Group Holding Ltd.-backed Moonshot AI released an upgrade of its flagship model, heating up a domestic arms race ahead of an expected rollout by Chinese sensation DeepSeek. The latest ...

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

Understand the basic science of TPC stamp forming, a manufacturing process steadily gaining momentum in aerospace and mobility applications thanks to its rapid forming, short cycle times and automated ...

What would a Tesla be without controversy and split opinions? The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The ...

This blog post was authored by Mo Elsayed Senior Associate and Senior Building Performance Analyst, Page; Jill Kurtz, LEED AP BD+ C, Principal and Director of Building Sciences, Page; and Justin ...

Tesla on Tuesday unveiled plans to sell cheaper alternatives of its Model Y and Model 3 cars, its first product release in years, as Elon Musk’s automaker created more affordable options for its ...

Reservoir modeling integrates geology, petrophysics, geophysics, PVT, and production data into a predictive, physics-based model to forecast fluid flow and optimize field development and operations.