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New research has cast doubt on whether today's advanced artificial intelligence models are truly capable of deep reasoning.
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The Business & Financial Times on MSNAI disruptions and the future of work: readiness of our youthBy Bryan AcheampongFull text of a speech delivered by \xa0Bryan Acheampong (Dr), Member of Parliament for Abetifi recently at the University of Media, Arts and Communication (UniMAC), themed “AI ...
Quantum sensing and photonics are really starting to take off, and 2025 is shaping up to be a big year for both. We’re seeing ...
The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...
Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.
Some numbers are so unimaginably large that they defy the bounds of modern mathematics, and now mathematicians are closing in ...
15h
ZME Science on MSNThis study suggests zapping people’s brains could make them better at mathIn what definitely wasn’t on our list of expectations for this year, researchers used a method called transcranial random ...
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News-Medical.Net on MSNElectrical stimulation boosts math skills in people with weaker neural linksThe strength of certain neural connections can predict how well someone can learn math, and mild electrically stimulating ...
Computers can help ensure that mathematical proofs are correct, but translating traditional maths into a machine-readable ...
From our DNA strands to fishing rods to art, knots are all around us. Ana Wright, a Davidson College assistant mathematics ...
Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization using ...
This research discusses the application of the KNearest Neighbor (K-NN) algorithm in sentiment analysis, specifically in classifying positive, negative, or neutral sentiments from ChatGPT user ...
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