Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.
The Next Web

Parallel raises €20M to deploy AI agents for hospital administrative work across Europe

Parallel has raised $20M to deploy AI agents that automate medical coding and billing directly on top of existing hospital ...
Total Retail

How I Combined GPT With Classical Optimization to Make Retail AI 85% Faster

In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and ...

AI analysis of nanoribbon assembly reveals protein design principles

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...
GitHub

PyCUDA primal-dual algorithms for TV/TGV-constrained imaging problems

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.
BGR

Squid Game's Unnecessary Final Season Is Another Example Of Algorithms Trumping Art

There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...
Scientific Research Publishing

Chen, H., Chen, C. and Wang, Y. (2022) Auto-Design of Multi-Pass Cell with Small Size and Long Optical Path Length Using Parallel Multi-Population Genetic Algorithm. IEEE ...

ABSTRACT: The economic dispatch problem in power systems is a classic issue in the field of power systems. This paper first uses the traditional genetic algorithm to solve the economic dispatch ...