A new deep learning method called DLE-EM accelerates SEM imaging of geological materials by up to 16×, enabling large-scale, ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

View software available in the Integrated Systems Biology and AI — Tailored Pharmacology and Precision Medicine Lab led by Hu ...

It includes H2O-3 for distributed machine learning, H2O Driverless AI for automated machine learning, H2O Hydrogen Torch for no-code deep learning, H2O Document AI for intelligent document processing, ...

Whensuitable methods are used, deep learning models can be cheap to tune and can scale affordably to problems involving millions or billions of data points.. The review is accompanied by a companion ...

Learn More Deep Cogito, a new AI research startup based ... (IDA), as a novel alternative to traditional reinforcement learning from human feedback (RLHF) or teacher-model distillation.

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

The team first estimated which genes were present in ancestral genomes. They then used machine learning to predict whether or not each ancestor used oxygen to live. To best utilise fossil records ...

Faculty Affairs CUNY Innovative Teaching Academy CUNY Teaching and Learning Conference 2025 CUNY Teaching and Learning Conference The CUNY Innovative Teaching Academy (CITA) CUNY Teaching and Learning ...

The rapid progress in artificial intelligence (AI) and machine learning (ML) research underscores the importance of accurately evaluating AI agents’ capabilities in replicating complex, empirical ...