Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

The Multi-source Probabilistic Inference (MUPI) research group studies statistical machine learning and artificial intelligence. We develop new methods and algorithms for coping with uncertainty in ...

Nearly 8 in 10 Americans surveyed say the country is innovating in the wrong areas, while 86% say the most meaningful ...

Abstract: An automated, robust, noncontact sleep posture recognition technique is proposed in this letter, which uses optimizable (Bayesian hyperparameter tuning) machine learning (ML) classifiers ...

Abstract: Multiunit activity (MUA) has been proposed to mitigate the robustness issue faced by single-unit activity (SUA)-based brain-machine interfaces (BMIs). Most MUA-based BMIs still employ a ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal ...

Seattle-based Overland AI won a Marine Corps contract to produce more than a dozen autonomous ground vehicles, which the ...

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

Anupam Ojha, a postdoctoral fellow at the Flatiron Institute, develops advanced statistical frameworks to bridge the gap ...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

Why do people make the choices they do? Researchers from the Center Synergy of Systems (SynoSys) at TUD Dresden University of Technology, the Max Planck Institute for Human Development, and the ...