The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its ...

The discussion explains why technology decisions affect audit quality and cannot remain operational choices. It concludes that a fiduciary, partner-level CTO role is now structurally ...

Researchers engineered “gyromorphs,” a new type of metamaterial that combines liquid-like randomness with large-scale structural patterns to block light from every direction. This innovation solves ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

AI text detectors promise certainty in a moment when synthetic writing is everywhere, but the technology simply cannot deliver what people want from it. The tools are unreliable, easy to fool, and ...