Learn how chain-of-thought and a guided meta-system boosted ChatGPT 5’s abstract thinking, so you can pick better tools for complex tasks.

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Real artificial intelligence innovation does not begin with abstract ideas or speculative demos. It begins with clearly ...

Big artificial intelligence models are known for using enormous amounts of memory and energy. But a new study suggests that ...

As artificial intelligence researchers exhaust the supply of real data on the web and in digitized archives, they are ...

Naperville Underrated Food Map is a data-driven approach to finding restaurants that may not appear at the top of a Google search.

Take my own industry, supply chain. According to Gartner, just 7% of supply chain teams currently make decisions in real time ...

The never-ending saga now adds Microsoft’s Copilot and LG’s webOS TVs. The TV maker recently rolled out Copilot to users’ TVs, in a way that it was impossible to disable or uninstall the AI. First, LG ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy integrations fail at scale.

Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.