Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...

This important study shows that neural responses to visual input during active vision are more closely aligned with self-generated eye movements than with fixation onset. The evidence for neural ...

OpenAI has disclosed six reports on unexpected or concerning behavior in artificial-intelligence models. This includes models ...

The Model Context Protocol gives AI applications a standard way to discover and use tools, data, prompts, and other capabilities. This guide explains MCP's architecture, primitives, security ...

To enable more rational optimization of MVA-based vaccines, we developed a mechanistic and executable systems vaccinology framework based on Boolean modeling to capture the dynamics of vaccine-induced ...

Financial institutions make decisions under uncertainty every day. Banks decide whether to approve a loan, how much credit to extend, and what interest rate reflects the borrower’s risk. Trading and ...

Public experiment log using Get Physics Done (GPD) with Codex to explore predictive control of tokamak plasma turbulence and confinement. A physics-based flight simulator for optimizing airbrake ...

AxionCura is a machine learning–based early stroke prediction system that analyzes patient health attributes to estimate stroke risk. It includes a trained pipeline model and a simple Python interface ...

Google has quietly reworked Gemini‘s usage limits, splitting the shared pool and boosting the individual caps for the Thinking and Pro models. At launch, both models had the same daily quota, meaning ...

In January, the Idaho Department of Health and Welfare plans to launch a predictive analytics model as part of its child welfare program. The goal is to improve case management, reduce unnecessary ...