Science – Page 30

Can AI Spot Bias in Cancer Detection?

19.03.2026 by ebaster

A new study explores how intelligent agents can help ensure fairness in early-onset colorectal cancer screening.

Beyond Remote Control: Smarter Teleoperation with AI Copilots

19.03.2026 by ebaster

Residual Copilot demonstrably enhances robotic manipulation by not only ensuring task completion when unassisted teleoperation falters due to limitations in force, rotation, or grasping-but also by consistently accelerating completion times and smoothing motion profiles in scenarios where both methods succeed.

A new framework leverages real-to-sim transfer and lightweight machine learning to significantly improve the efficiency and reliability of remote manipulation tasks.

Let the Algorithms Explore: Building Trust in AI-Driven Economic Forecasts

19.03.2026 by ebaster

A new research protocol allows for automated specification search in empirical economics while maintaining full transparency and auditability.

When AI Plays to Human Biases

19.03.2026 by ebaster

The study demonstrates a competitive dynamic wherein a learning heuristic-assessed by [latex]Q[/latex] values-engages in a one-off contest against an artificial intelligence, revealing the relative performance of each approach in a direct, isolated encounter.

New research reveals how incorporating behavioral economics into multi-agent AI systems alters strategic interactions and challenges traditional game theory assumptions.

The Human Touch: How Gripper Design Shapes Robot Learning

19.03.2026 by ebaster

The UMI handheld gripper’s redesigned finger mount enables direct contact upon full closure, thereby achieving a more effective grasping capability.

Subtle changes to the mechanical design of handheld grippers used in human demonstrations can dramatically improve the quality of robot training for complex manipulation tasks.

Taming Dusty Plasma with AI

19.03.2026 by ebaster

An integrated artificial intelligence framework now dissects the complex behavior of dusty plasmas, promising to unlock previously inaccessible insights into these enigmatic states of matter and potentially redefine plasma research methodologies.

A new framework and foundation models are poised to unlock the potential of machine learning for understanding and predicting the behavior of these complex systems.

Robots That Get You: Adapting Navigation to Human Intuition

19.03.2026 by ebaster

New research demonstrates how robots can learn to navigate spaces based on nuanced human preferences, moving beyond simple goal-oriented movement.

AI Spots Quantum Material Flakes, Accelerating Device Discovery

19.03.2026 by ebaster

The proposed OpenQlaw framework establishes a foundation for quantum-enhanced law of large numbers applications, acknowledging that even innovative architectures inevitably contribute to the ongoing accumulation of technical debt within production systems.

A new agentic AI framework automates the analysis of 2D materials, promising faster characterization and fabrication for quantum technologies.

AI Takes on Literature Reviews: A New Era for Research Synthesis

19.03.2026 by ebaster

The LR-Robot framework establishes a system where learning and robotic control are unified, enabling the robot to iteratively refine its actions and adapt to complex environments through a continuous cycle of perception, planning, and execution.

A novel framework leverages artificial intelligence and human expertise to dramatically accelerate and improve the systematic review process.

Can AI Truly Do Science?

19.03.2026 by ebaster

The system autonomously generates machine learning tasks and datasets without human intervention, employing a debugging loop to resolve compilation issues and refine the generated tasks rather than abandoning them outright.

A new approach uses artificially generated research problems to train artificial intelligence agents in the iterative process of scientific discovery.