Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
The 2025 series of the Decision Advantage Sprint for Human-Machine Teaming marked a significant step forward in the ...
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
This project focuses on building and evaluating machine learning (ML) classification models to predict whether a person has diabetes based on medical and demographic features. It was developed as an ...
Valve’s announcement of the Steam Machine has sparked much debate online about the company’s return to the PC in the living room space, but one key piece of information remains unknown: price. The ...
From a teacher’s body language, inflection, and other context clues, students often infer subtle information far beyond the lesson plan. And it turns out artificial-intelligence systems can do the ...
Abstract: Social media has emerged during the last decade as a potential information source in crisis scenarios, providing data in real-time or just after the occurrence of the event. Nevertheless, ...
While ChatGPT, Gemini, and other generative AI products have their uses, some companies are going overboard. Beyond issues like hallucinations or AI screwing up — like deleting an entire code database ...
Artificial intelligence startup OpenEvidence says its AI model has scored a perfect 100% on the United States Medical Licensing Examination (USMLE), raising the bar on the proficiency of AI models to ...