In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...
Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...
As impressive as AI models can appear today, rigorous benchmarks show that we still have them beat when it comes to math.
Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...
AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...
Abstract: Identifying positive influence dominating set (PIDS) with the smallest cardinality can produce positive effect with the minimal cost on a social network. The purpose of this article is to ...
An international research team has developed a hybrid maximum power point tracking (MPPT) technique for PV systems that operate under partial shading or rapidly changing atmospheric parameters. The ...
Abstract: Finding the shortest vector in a lattice is a NP-hard problem. The best known approximation algorithm for this problem is LLL algorithm with the approximation factor of αn-1\2, α≥4\3, which ...
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