This project segments the manufacturing ecosystem into three interrelated domains: the machining process itself, the ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

Discover how brain-inspired AI models bridge human cognition and machine intelligence. Explore next-gen neural design. Learn ...

by the US Geological Survey June 16, 2025 As climate change accelerates, the risk of sudden, large-scale shifts in ecosystems is growing. A new USGS study examines the mechanisms behind these abrupt ...

By addressing one of quantum computing's most critical scaling bottlenecks, the new framework enables fast, modular calibration and fosters a global ecosystem for sharing and advancing calibration ...

By addressing one of quantum computing's most critical scaling bottlenecks, the new framework enables fast, modular calibration and fosters a global ecosystem for sharing and advancing calibration ...

The recent surge of interest in explainability in artificial intelligence (XAI) is propelled by not only technological advancements in machine learning but also by regulatory initiatives to foster ...

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...

The work was supported by the Air Force Office of Scientific Research, the Office of Naval Research, and the US National Science Foundation. Most approaches to machine learning-based inverse design ...

Our recent work addresses this issue by creating a tool with an uncertainty quantification for microplastic identification. We use a machine learning technique called conformal prediction.

Abstract Active inference integrates perception, decision-making, and learning into a united theoretical frame-work, providing an efficient way to trade off exploration and exploitation by minimizing ...