Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

One of the most under-evaluated consequences of the multiplication of machine learning engines, and their production ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

The report didn’t specify the valuation that FuriosaAI is expected to receive. The company was worth $735 million as of July, ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...

I have reproduced this project. The qwen-3b-instruct model can combine operations through addition and subtraction but fails to learn multiplication and division, even after I trained it for over ...

Enhance the layout optimization cost model to track multiplicative depth in addition to rotation count, enabling more accurate kernel selection for layout optimization decisions. PR #2347 implemented ...

Abstract: This paper studies the expected value of multiplicative rewards, where rewards obtained in each step are multiplied (instead of the usual addition), in Markov chains (MCs) and Markov ...

Uri Wilensky, Northwestern University’s Lorraine Morton Professor of Learning Science and Computer Science, recently won the ...