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Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.
Training schools focused on modeling solid Earth responses to ice mass changes offer lessons on how early-career scientists ...
Open Data Access: Access to many public datasets right from your LLM application (starting with Claude, more to come). Publishing: Get community help and a distribution network to distribute your Open ...
Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.
December 2024’s tragic shooting of United Healthcare CEO Brian Thompson marked a chilling inflection point in the online hostility towards corporate executives.
One of the bottlenecks in electron scattering is the analysis of the scattering data obtained from complex atomic or molecular structures. On the basis of D+ software, we developed the software E+ for ...
Moreover, we showcase the following analytical insights for data containing non-negligible measurement errors: i) The conventional SEM may underestimate heritability. ii) A hierarchical model provides ...
Disclaimer: LibGen contains errors. You may, for example, find books that list incorrect authors. This search tool is meant to reflect material that could be used to train AI programs, and that ...
DeepSeek, the Chinese AI startup known for its DeepSeek-R1 LLM model, has publicly exposed two databases containing sensitive user and operational information.
As the future of warfare pivots towards artificial intelligence, Ukraine is sitting on a valuable resource: millions of hours of footage from drones which can be used to train AI models to make ...
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