Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

Overview: Data science continues to influence how companies build products, understand users, and make strategic decisions.In ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

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.

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can transform operations by preventing equipment failures, ...

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

AI leaders clash over AGI, with Hassabis calling the brain an approximate Turing machine, helping you grasp real design goals ...

AI is set to disrupt the telco sector just like any other, and while big players will of course make their impact, newer startups could be just as important.

The shift from volume to value requires more than enthusiasm. It requires engineering discipline, business ownership and the ...

AI hallucination is often misread as creativity. This explains why it’s a symptom of optimization fatigue, and what that ...