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Seeing and Grasping: Humanoid Robots Learn to Manipulate the World

19.02.2026 by ebaster

Researchers have developed a new system enabling humanoid robots to reliably pick up and move novel objects in unfamiliar environments using only visual input.

Categories Science

Beyond Black Boxes: A New Framework for Understanding Abstraction

19.02.2026 by ebaster

A novel category-theoretic approach unifies different forms of abstraction, offering a rigorous way to build and interpret complex systems.

Categories Science

Reading Minds, Building Robots: Understanding Human Intent

19.02.2026 by ebaster

The presented taxonomy delineates the structure of human intent, offering a framework for understanding the underlying organization of purposeful action.

A new review synthesizes psychological insights into human intention, offering a framework to advance collaborative robotics and improve how machines understand our goals.

Categories Science

Reasoning to Root Cause: AI-Powered Causal Discovery

19.02.2026 by ebaster

The system integrates large language models into a causal discovery pipeline, prompting them to formulate pairwise causal statements from variable definitions-statements then structured and combined with data and existing knowledge to infer causal graphs, with expert input flexibly introduced either through prompt engineering or as overriding assumptions.

A new approach harnesses the power of artificial intelligence to identify causal relationships within data, moving beyond simple correlations.

Categories Science

The Algorithmic Doctor: When AI Changes How We Care

19.02.2026 by ebaster

The rise of increasingly autonomous AI in healthcare demands a critical examination of its potential to reshape medical ethics and the core values of the patient-physician relationship.

Categories Science

The Chatty Car: How AI Assistants Build Trust on the Road

19.02.2026 by ebaster

New research reveals that providing clear, ongoing feedback from in-car AI assistants improves user experience and reduces mental strain during complex tasks.

Categories Science

Digital Echo Chambers: How AI Networks Differ From Our Own

19.02.2026 by ebaster

The Moltbook interaction network exhibits scaling behavior consistent with established human social networks-as evidenced by a linear relationship between nodes and directed edges on a log-log scale-while its global metrics, though within the range of observed human networks, demonstrate a distinct profile when contrasted against degree-preserving null models, suggesting a unique structural organization.

New research reveals that while artificial intelligence agents create social networks that grow like human ones, their internal structures are surprisingly different.

Categories Science

Listen and Learn: A Conversational Guide for Hands-On Tasks

19.02.2026 by ebaster

A situated conversational assistant anticipates user needs and environmental events, initiating dialogue through language model calls only when prompted by direct input or recognized activity-a design prioritizing responsive engagement over constant output.

Researchers have developed a wearable assistant that proactively guides users through procedural tasks using audio and motion sensing.

Categories Science

Beyond the Hubs: AI’s Surprising Regional Roots in Europe

19.02.2026 by ebaster

New research reveals that artificial intelligence specialization isn’t limited to Europe’s major tech centers, with significant activity emerging in peripheral regions.

Categories Science

Decoding Human Strain: AI Predicts Fatigue in Robot Collaboration

19.02.2026 by ebaster

Learning-based regression models estimate human muscular fatigue during repetitive physical tasks by predicting the fraction of cycles to fatigue from surface electromyography measurements, offering a quantitative approach to understanding performance decline.

New research leverages machine learning to estimate muscular fatigue during physically demanding tasks where humans and robots work side-by-side.

Categories Science
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