New chip design uses photons rather than electrons to perform calculations, and scientists hope to integrate the technology into future graphics cards to train AI.

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 ...

That means it’s great for adding things up — but terrible for the nonlinear twists AI needs. While many teams developed light-power chips capable of handling linear mathematics, none managed ...

As light travels through the new AI chip, it's directed, significantly speeding up the transmission process of data and also reducing the power needed for a calculation to be completed.

Penn Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate ...

Light-based chips. Luminous was founded in 2018 by Michael Gao, CEO Marcus Gomez, and Mitchell Nahmias. ... and it’s designed from the ground up with the AI user in mind ...

Nvidia CEO Jensen Huang said the Trump administration is letting it sell its advanced H20 computer chips to China — a ...

Lightelligence stands largely alone in the optical AI accelerator space, but it competes with Lightmatter, which has raised triple the amount of funding ($33 million) for its own chip.

Optical solution. Luminous sees light as the answer. It uses lasers to beam light through tiny structures on its chip, known as waveguides. By using different colors of light to move multiple ...

New memory chip controlled by light and magnets could one day make AI computing less power-hungry. ... Advanced AI reasoning models generate up to 50 times more carbon dioxide than common LLMs.