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 ...
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 ...
eWeek

The Rise of the AI-Native Factory: How Physical AI Is Transforming Manufacturing

Manufacturing is entering a new era where AI interacts directly with the physical world. Through robotics, sensors, ...

Testing suggests Google’s AI Overviews tell millions of lies per hour

The Times conducted this analysis with the help of a startup called Oumi, which itself is deeply involved in developing AI ...
GitHub

Dynamic Tool Update Example

This example demonstrates how a Model Context Protocol (MCP) server can dynamically update its available tools at runtime, and how a client can detect and use these updated tools. The MCP protocol ...

Boston Benefits Firm Uses AI to Develop Suite of Actuarial Modeling Tools for Employers

PEO4YOU founder applied prompt engineering and institutional data sources to build six benefits analysis tools in a ...
IEEE

POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models

Abstract: Large language models (LLMs) have exhibited impressive abilities for multimodal content comprehension and reasoning with proper prompting in zero- or few-shot settings. Despite the ...
IEEE

Mutual Information Optimization Using Large Language Model for Domain Generalized Remaining Useful Life Prediction in IIoT

Abstract: The Industrial Internet of Things (IIoT) enables interoperability among networked machines, driving the need for Remaining Useful Life (RUL) prediction to ensure operational safety. However, ...