With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.

With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...

Los Alamos researchers developed PAS, a real-time tool that helps detect false image claims in machine vision models.

ALS (amyotrophic lateral sclerosis) is a fatal neurodegenerative disease that gradually affects a person's ability to move, speak and breathe. It advances differently in every patient. Now, ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...

DiffusionGemma hits 1,000 tokens per second by ditching word-by-word generation entirely. It just doesn't run on most ...

A single photograph contains a wealth of information, but determining 3D spatial relationships from a 2D scene is no simple ...

Neutrino experiments are entering an era of unprecedented detector scale, precision, and data complexity. From liquid argon time projection chambers and ...

Irena Asmundson is the Managing Director of Ca. Policy Research Initiative at SIEPR and a former IMF staff member. Opinions expressed in articles and other materials are those of the authors; they do ...