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.

Google develops TurboQuant compression technology for AI models

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...
AOL

Ethical AI and the importance of guidelines for algorithms — explained

In October, Amazon had to discontinue an artificial intelligence–powered recruiting tool after it discovered the system was biased against female applicants. In 2016, a ProPublica investigation ...
Northwestern's McCormick School of Engineering

Strong Northwestern CS Presence at ICLR 2026, ICRA 2026, and NeurIPS 2025

Scheduled in April in Rio de Janeiro, ICLR 2026 focuses on cutting-edge research on deep learning used in the fields of artificial intelligence, statistics and data science, as well as application ...
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Exclusive: Former Google DeepMind researchers secure $5 million seed round for new company to bring algorithm-designing AI to the masses

Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction AI as well as its AlphaEvolve code generation system have launched a new ...