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The AI Revolution in Particle Physics

20.02.2026 by ebaster

The design anticipates a future where particle physics facilities are not engineered, but cultivated through iterative optimization loops driven by artificial intelligence - a system built not on blueprints, but on the acceptance of inevitable, instructive failures.

A new vision outlines how artificial intelligence can transform every aspect of experimental high-energy physics, accelerating the pace of discovery.

Categories Science

Robots That React: Planning Paths in a Dynamic World

20.02.2026 by ebaster

SMART establishes a sensor-based planning framework by integrating real-time perception - achieved through dynamic occupancy mapping - with dynamics propagation and reactive motion generation to enable autonomous navigation.

A new framework enables robotic manipulators to navigate complex, changing environments with greater robustness and responsiveness.

Categories Science

Smarter LaTeX: An AI Editor for Researchers

20.02.2026 by ebaster

A new AI-powered editor aims to dramatically simplify the academic writing process, from initial draft to polished manuscript.

Categories Science

Beyond Expertise: How AI is Democratizing Building Energy Efficiency

20.02.2026 by ebaster

New research reveals that effective collaboration with artificial intelligence in building management hinges less on specialized knowledge and more on the ability to communicate effectively with the system.

Categories Science

Building a Better Scientific Pipeline

20.02.2026 by ebaster

The DataJoint platform establishes a relational workflow-encompassing schema definition, query algebra, and distributed computation-that bridges the gap between code repositories, relational databases serving as systems of record, and scalable object storage, ultimately providing the infrastructure necessary to deploy and orchestrate data pipelines in production environments.

A new framework unifies data and computation, empowering researchers to create reliable and scalable scientific workflows.

Categories Science

Robots Learn to Handle the World: Building 3D Maps for Complex Interaction

19.02.2026 by ebaster

MoMa-SG constructs precise 3D scene graphs of articulated scenes, establishing a foundational component for extended-horizon mobile manipulation tasks.

Researchers have developed a new framework allowing mobile robots to create detailed 3D representations of environments, focusing on how objects move and connect.

Categories Science

Smart Agents, Small Models: A New Approach to Industrial Automation

19.02.2026 by ebaster

The study demonstrates a predictable decay in skill selection accuracy as the number of skills-ranging from five to one hundred-increases, suggesting an inherent limitation in scalability despite successful initial performance.

This review explores how carefully crafted ‘skill frameworks’ unlock the potential of smaller language models for complex tasks in real-world industrial settings.

Categories Science

Robots Learn to Handle Cloth with Predictive World Models

19.02.2026 by ebaster

The system captures a robot’s manipulation of a deformable object-a towel-simultaneously registering surface normals, RGB values, and depth data to facilitate nuanced interaction and understanding of the object’s changing geometry.

Researchers have successfully trained reinforcement learning agents to manipulate and unfold cloth in real-time, bridging the gap between simulation and real-world robotics.

Categories Science

Rewriting Drug Discovery: AI Learns Molecular Transformations

19.02.2026 by ebaster

Matched Molecular Pairs (MMPs) offer a method for systematically exploring the impact of structural changes on molecular properties, with transformations between pairs - termed Matched Molecular Pair Transformations (MMPTs) - providing a textual basis for understanding these relationships.

A new approach uses artificial intelligence to predict how changing a molecule’s structure will affect its properties, accelerating the search for better drug candidates.

Categories Science

Seeing in the Dark: Robots Learn to Control Their Own Light

19.02.2026 by ebaster

Researchers have developed a new system enabling robots to actively adjust onboard illumination, dramatically improving their ability to map and navigate complex environments.

Categories Science
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