today introduced Helm.ai Driver, a real-time deep neural network (DNN) transformer based path prediction system for highway and urban Level 2 to Level 4 autonomous driving. The company ...

Mind maps are visual tools that reflect how our minds naturally work. They organize information by clustering related ideas ...

In the 1987 sci-fi movie ‘RoboCop’, implants could create and delete memories and control emotions. Fantasy is now almost becoming reality ...

In a business world increasingly shaped by metrics, artificial intelligence, and performance optimization, a quieter change ...

There are several key security concerns neurotech developers must address from the outset to ensure both medical and ethical ...

OLED combines the excellent blacks of OLED with the color and brightness advantages of Quantum Dots. Specifications ...

With TVs getting larger every year, that’s generally a win for consumers. Not too long ago, 85 inches felt like it was t ...

Typically, an entire neural network functions on a common set of plasticity rules, but this research infers possible new ways to design advanced AI systems using multiple rules across singular units.

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light — a breakthrough that could dramatically speed up AI training, reduce energy use and even ...

The breakthrough comes from Lvmin Zhang of GitHub and Maneesh Agrawala of Stanford University. The duo developed FramePack, a ...