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.

Abstract: This paper addresses the gradient coding and coded matrix multiplication problems in distributed optimization and coded computing. We present a computationally efficient coding method which ...

As AI automates more knowledge work, the organizations that thrive will be those that master human relationships. Matrix organizations present well-known challenges: difficulty influencing across ...

Financial institutions face an unprecedented data challenge. Asset managers routinely analyze thousands of documents for due diligence, investment banks parse complex regulatory filings, and private ...

Hi @1874309276, Thanks for reaching out. As a test run, could you please run the conditional analysis in the summary step using a short list for known_loci? The rationale is that if you can prune the ...

Four Wappingers elementary students are multiplying up to 384-digit numbers in school. These students, who are in the district's math enrichment program, are getting creative with math theory to solve ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Third and fifth grade students at Florence Elementary School in High Point participated in "March Multiplication Madness" today, honing their math skills in a bracket-style tournament.Spaces around ...