The future of healthcare isn’t about humans versus machines. It’s about humans with machines, working side by side.

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

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

The AI pioneer on stepping down from Meta, the limits of large language models — and the launch of his new start-up ...

Why management education must stop fearing artificial intelligence and start embracing it to think deeply, question sharply, ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Elk Valley Resources’ Fording River operation, owned by parent company Glencore Canada, uses machine learning models to track ...

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...

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

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

Nuclear fusion. People on Mars. Artificial general intelligence. These are just some of the advances that could come by the ...