Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

By combining AI with holographic encryption, scientists have developed an ultra-secure data protection system. Their method scrambles laser beams into chaotic patterns, making decryption impossible ...

When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a recent study published in the journal Patterns by the Visual Neuroscience ...

The AI model was able to eventually match the rats’ image processing capabilities, but only after using more and more resources and computer power to catch up. Though identifying objects in their ...

The AI model that shook the world is part of a broad trend to squeeze more out of chips using what's called sparsity.

"ColdFusion is your gateway to understanding the past, present, and future of technology and innovation. Discover ...

Agentic AI, quantum computing, brain-computer interfaces, decentralized finance... astonishing breakthroughs and convergences ...

Explore if MIT’s spinoff Liquid AI can deliver on its promise to build a new type of AI in 2025. Learn more about its ...