On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Nous Research, the open-source artificial intelligence startup backed by crypto venture firm Paradigm, released a new competitive programming model on Monday that it says matches or exceeds several ...
MiniMax Unveils M2.1 to Bring Multilingual Programming Gains to Open AI Models Your email has been sent Chinese AI startup’s release is a major update to its open-source model series, aimed at ...
Subaru is known for making some of the most reliable cars in the country, but that wasn't always the case. If you owned one or knew someone who did, you likely made or heard a joke about a ...
ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...
Travis Hoium is a contributing Motley Fool stock market analyst covering solar energy, technology, and growth stocks. Before The Motley Fool, Travis was a mechanical engineer at 3M and founded a ...
China has officially entered the legal AI arms race. Last Friday, researchers unveiled the “Xiao Baogong Legal Content Model,” a specialized artificial intelligence system that’s been fed an ...
Google DeepMind, Alphabet Inc.’s artificial intelligence research arm, today announced the rollout of Gemini 2.5 Deep Think, a new creative problem-solving AI model. The company stated the model is ...
A famous story about artificial intelligence involves a model being told to devise efficient methods for landing jet fighters onto aircraft carriers. As recounted by researcher Janell Shane, the model ...
Linear Programs (LPs) are one of the major building blocks of AI and have championed recent strides in differentiable optimizers for learning systems. While efficient solvers exist for even ...