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 ...

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

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

The quality of AI-generated artifacts and answers improves when certificates are demanded, even if the evidence provided by ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

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

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.

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

The study identifies structural weaknesses that could undermine the role of AI as a sustainability accelerator. One of the ...