Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Researchers from Renmin University of China and Microsoft Research have introduced Arbor, a framework designed to help AI ...

As patients are divided into ever more narrowly defined subgroups, the number of individuals available for research shrinks dramatically. While this approach improves personalization, it also creates ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

The mainstream adoption of machine learning in investment management has created a widening gap between predictive ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

The development and scaling of FirstQFM's models were powered by NVIDIACUDA-Q, NVIDIA cuQuantum, and NVIDIA cuTensorNet. FirstQFM optimized its workflows for training on the Leonardo Supercomputer, ...

This agreement represents NetraMark's ninth commercial contract since the start of its current fiscal year and demonstrates growing interest in ...

A new framework, Arbor, they claim, preserves hypotheses, experiments, and lessons learned across long-running research tasks ...