April 12, 2024, 2:52 p.m. | Charles Q. Choi

IEEE Spectrum spectrum.ieee.org



Neural networks that imitate the workings of the human brain now often generate art, power computer vision, and drive many more applications. Now a neural network microchip from China that uses photons instead of electrons, dubbed Taichi, can run AI tasks as well as its electronic counterparts with a thousandth as much energy, according to a new study.

AI typically relies on artificial neural networks in applications such as analyzing medical scans and generating images. In …

ai chip applications art artificial intelligence brain budget china chip computer computer vision drive electronic energy energy efficiency generate human microchip network networks neural network neural networks optical computing optical neural networks photonics power tasks vision

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Scientist

@ Publicis Groupe | New York City, United States

Bigdata Cloud Developer - Spark - Assistant Manager

@ State Street | Hyderabad, India