A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
This is an Open Letter responding to several harsh criticisms of Socialism AI posted by Professor Tony Williams in the ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
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