Categories: AI/ML News

Programmable photonic chip uses light to accelerate AI training and cut energy use

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 pave the way for fully light-powered computers.

New light-based switch could cut chip energy use and speed future AI photonics

Photonic devices are hardware systems that can process information using light instead of electricity. These systems could potentially perform computations faster than electronic devices, while also consuming less energy.

May 25, 2026

In "AI/ML News"

DNA robots could deliver drugs and hunt viruses inside your body

DNA robots are emerging as tiny programmable machines that could one day deliver drugs, hunt viruses, and build molecular-scale devices. By borrowing ideas from traditional robotics and combining them with DNA folding techniques, scientists are creating structures that can move and act with precision. These robots can be guided using…

April 2, 2026

In "AI/ML News"

New hardware offers faster computation for artificial intelligence, with much less energy

As scientists push the boundaries of machine learning, the amount of time, energy, and money required to train increasingly complex neural network models is skyrocketing. A new area of artificial intelligence called analog deep learning promises faster computation with a fraction of the energy usage. Programmable resistors are the key…

August 31, 2022