If you’ve ever wanted café drinks on your counter without learning to pull a proper shot, this is the kind of deal that does a lot of the work for you. The Philips 3300 is a fully automatic machine ...

Researchers have crossed a threshold that once belonged squarely to science fiction: they have built working models of brains ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Have you ever looked at a slot machine and thought, “How does this thing actually work?” The colorful reels, flashing lights, and cheerful sounds make it look simple, but there’s an interesting system ...

Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...

Recent concern about the uncertain impacts of artificial intelligence has fueled renewed discussion of universal basic income (UBI). As in the past, much of the conversation depicts UBI as a policy ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Identifying epitopes, or the segments of a protein that bind to antibodies, is critical for the development of a variety of immunotherapeutics and diagnostics. In vaccine design, the intent is to ...

Abstract: Theory of Mind (ToM) is the ability to attribute mental states to others, an important component of human cognition. At present, there has been growing interest in the artificial ...