Is The Matrix closer to reality than we think? 🖥️ Neil deGrasse Tyson dives into the science behind the iconic film and explains what’s fact, fiction, and what it means for our understanding of ...

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...

In 1971, German mathematicians Schönhage and Strassen predicted a faster algorithm for multiplying large numbers, but it remained unproven for decades. Mathematicians from Australia and France have ...

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 ...

Artificial intelligence has penetrated deeply into financial services, powering everything from credit scoring to fraud detection. Yet a fundamental tension exists between AI's computational power and ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

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 ...