A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...
“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based ...
GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.
A2Z/ ├── Problems/ # Solved problems organized by difficulty │ ├── Easy/ # Easy level problems │ ├── Medium/ # Medium level problems │ └── Hard/ # Hard level problems │ ├── DataStructures/ # Core data ...
Abstract: With the transformation of manufacturing towards intelligence and flexibility, the workshop scheduling problem, as a typical combinatorial optimization problem, is facing increasingly ...
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 ...