Beyond Uncertainty: A New Logic for Reliable AI
A novel axiomatic possibility theory resolves a long-standing paradox in fuzzy logic, paving the way for more robust and consistent artificial intelligence systems.
A novel axiomatic possibility theory resolves a long-standing paradox in fuzzy logic, paving the way for more robust and consistent artificial intelligence systems.

A new framework leverages deep learning and robotic vision to automate the inspection of critical aluminum components, dramatically improving defect detection and measurement.

New research demonstrates that applying evolutionary strategies to language models can dramatically improve their ability to tackle challenging reasoning problems.

A new architecture combines the strengths of generative and descriptive AI, guided by structured protocols, to improve clinical decision-making and patient care.
As AI video platforms like Sora blur the lines between creation and simulation, users are actively shaping the norms around authenticity, authorship, and control.
A new analysis clarifies how the EU AI Act applies to artificial intelligence deployed within organizations, impacting everything from HR to research and development.
A new course design effectively integrates the fundamentals of traditional machine learning with the latest advancements in large language models to prepare students for the future of artificial intelligence.

A new system combines hyperspectral imaging with robotics to dramatically improve a robot’s ability to identify and sort materials, exceeding human performance in certain tasks.

Researchers have developed a tour guide robot that combines spoken explanations with coordinated gestures to draw visitors’ attention and create a more engaging museum experience.

Researchers have created a dynamic benchmark, PRiSM, to push the boundaries of artificial intelligence in scientific problem-solving, moving beyond static datasets and simple question answering.