As modern life demands thousands of daily choices, emerging research reveals how cumulative decision-making reshapes brain networks, weakens judgment, and subtly shifts behavior toward easier, but ...
Discusses Clinical Utility and Evidence Supporting DecisionDx Melanoma Test and DECIDE Study March 23, 2026 4:30 ...
Pattern Computer(R), Inc. ("Pattern" or "the Company"), the global leader in Pattern Discovery, today announced the publication of its latest research, "Adaptive example selection for prototype-based ...
While AI delivers greater speed and scale, it can also produce biased or inaccurate recommendations if the underlying data, ...
Advances in network science, artificial intelligence, and clinician networks may shift medical decisions from individual doctors to groups—and even AI models—at scale.
A narrative review examines how generative AI tools such as large language models and vision-language models could assist ...
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Abstract: Linguistic fuzzy information evolution is crucial in understanding information exchange among agents. However, different agent weights may yield varying convergence results in the classic ...
Starting this week, Perplexity subscribers will have a new agentic tool at their disposal. Perplexity Computer, in the company’s words, “unifies every current AI capability into a single system.” More ...
As John Kennedy said, the American Presidency is the “point of ultimate decision in the American political system.” This President’s Day we are focusing on presidential decision-making and some of the ...
For example, while playing D&D as AI agents, the models need to follow specific game rules and coordinate teams of players, comprising both AI agents and humans. The work aims to solve one of the main ...
Recent advances in deep-reasoning large language models (LLMs)—including OpenAI's GPT series and open-source DeepSeek models—have expanded their potential applications in ophthalmology. In ...