Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications — from autonomous driving ...

Neural Texture Compression (NTC) is a new technique that improves texture quality while reducing VRAM usage. It relies on a specialized neural network trained to compress ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

New research shows that the human brain automatically recognizes what actions an environment affords—like walking, climbing, or swimming—even without conscious thought.

New research reveals that the brain may be learning even during unstructured, aimless exploration. By recording activity in ...

Despite the recent announcement from the Department of Defense (DoD), I posit that Artificial Intelligence (AI) cannot ...

Artificial intelligence is changing how decentralized systems work, and a new group of AI-powered crypto projects is starting to grow. These platforms mix blockchain technology with real-world AI ...

All-TNNs better approximate spatial biases in human visual behavior. Credit: Nature Human Behaviour (2025). DOI: 10.1038/s41562-025-02220-7 Deep learning models, such as convolutional neural networks ...

Advanced robotic vision systems are redefining the capabilities of automation in performing precision tasks. By equipping ...

In an office at the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory, or MIT ...