Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

Anthropic releases Claude Opus 4.7: How to try it, benchmarks, safety

Claude Opus 4.7 is Anthropic's most intelligent model available to the general public. Notably, Anthropic said in a press ...
MIT Technology Review

Making AI operational in constrained public sector environments

Purpose-built small language models provide a practical solution for government organizations to operationalize AI with the ...
Nature

AI models ‘subliminally’ transmit biases when training other systems

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
College of Computing - Georgia Tech

Vision AI Models Improve Decision Making in Manufacturing, Energy, and Finance

Georgia Tech researchers have created a new AI model for decision-focused learning (DFL), called Diffusion-DFL. Recent tests ...
GitHub

Claude Code Skills & Plugins — Agent Skills for Every Coding Tool

235 production-ready Claude Code skills, plugins, and agent skills for 12 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI ...

How AI Chooses Which Brands To Recommend: From Relational Knowledge To Topical Presence

AI recommendations depend on relational knowledge, not just content. Here’s why your brand may be missing and how to fix it ...