On HMMT Feb 25, a rigorous reasoning benchmark, Qwen3-Max-Thinking scored 98.0, edging out Gemini 3 Pro (97.5) and ...

Sensitivity decreased from 0.91 on a balanced refinement dataset to 0.62 on an independent dataset reflecting real-world ...

Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...

Erran Berger, VP of product engineering at LinkedIn, and team set to develop a highly detailed product policy document to ...

According to God of Prompt on Twitter, a new 7 million parameter AI model has surpassed DeepSeek R1's 671 billion parameter model in challenging reasoning benchmarks, achieving a 45% accuracy rate ...

Iterative methods allow models to recover from mistakes and explore alternative solutions. They create a feedback loop where the model critiques its own reasoning, or where multiple models critique ...

The significantly freshened Tesla Model Y has finally arrived as a 2026 model, with all of the changes seen in the Model 3: acoustic glass for a quieter interior, more soft-touch materials throughout ...

Users are often mislead to believe that when defining models with MutableData, PyMC will avoid recompiling logp/prior/posterior predictive functions when only the MutableData has changed. This is not ...

Near-term, ecological forecasting with iterative model refitting and uncertainty partitioning has great promise for improving our understanding of ecological processes and the predictive skill of ...

NASA’s Commercial Lunar Payload Services (CLPS) are bringing us closer than we’ve been in decades to regular lunar exploration and scientific discovery. As a scientist, I admire what these companies ...