On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Regardless of the cognitive and environmental concerns arising from humanity’s increasing use of AI which resulted recently in Pope Leo XIV ...
Fault-tolerant quantum simulation just got 250 times cheaper to run. QuEra Computing and Los Alamos published an architecture ...
Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating ...
Instead of writing rules for more efficient AI reasoning themselves, researchers let a coding agent hunt for better control algorithms in a simulated environment. The result beats established methods ...
In 2023, the Federal Trade Commission, then led by Joe Biden appointee Lina Khan, along with 17 states, filed an antitrust lawsuit against Amazon. The case, finally scheduled to go to trial next year, ...
In the past few years, hyperscalers, AI companies, and smaller data center players have been investing massive amounts in building out cloud infrastructure. However, that rising demand for AI ...
A parallel deep reinforcement learning framework for wind-solar-hydrogen systems cuts operational costs by 6% and accelerates ...
Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ISR platforms, battlefield decision-support engines, predictive logistics tools, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results