Beyond AI Tools: Cultivating Minds for a New Era of Knowledge Work
As artificial intelligence reshapes how we learn and create, a new approach to education is needed to empower individuals as responsible stewards of knowledge.
Science
Rolling with the Times: AI-Powered Quadruped Skating
![A bilevel co-design framework iteratively refines both the physical design [latex]\mathbf{d}_{next}[/latex] and control policy [latex]\pi_{\theta}[/latex] for quadrupedal skating, leveraging Bayesian Optimization to propose designs and Reinforcement Learning to optimize policies, ultimately maximizing skating performance as measured by [latex]J(\pi_{\theta}^{\*},\mathbf{d},\mathcal{T})[/latex].](https://arxiv.org/html/2603.18408v1/x2.png)
Researchers have developed a quadrupedal robot capable of surprisingly efficient locomotion using passive wheels, driven by a novel co-design approach.
Seeing is Understanding: AI Gains Context in Human-Robot Scenes
![The system constructs a reasoning framework by fusing real-time visual data-specifically, a person’s immediate surroundings and a stream of recent images-with established object references, triggering a dedicated reasoning module whenever a change in observed action necessitates re-evaluation of the environment and grounding in previously identified instances [latex]object\_x[/latex].](https://arxiv.org/html/2603.18988v1/x1.png)
New research combines visual perception with advanced language models to help robots accurately interpret complex interactions between people.
Mapping AI’s World: How Generative Models See Geography
A new study explores how artificial intelligence constructs its understanding of the world’s geography, revealing surprising patterns and potential pitfalls.
Seeing Eye to Eye: Tracking Human Awareness in Robot Teams
A new dataset and methodology allow researchers to measure how quickly humans process information when collaborating remotely with robots.
Inspiring Insight: Teaching AI to Think Like a Scientist
![Rather than recombining established patterns or relying on external computational aids, the system internalizes the process of scientific discovery by first identifying a motivating factor [latex]mm[/latex] within a given context [latex]xx[/latex], then constructing a reasoning pathway [latex]zz[/latex] to derive a practical methodology [latex]yy[/latex], all refined through a composite reinforcement learning reward structure.](https://arxiv.org/html/2603.19044v1/x1.png)
New research explores how to imbue large language models with the intrinsic motivation needed to generate truly novel scientific ideas.
Robots Sculpt Frictionless Surfaces
A new approach uses teams of robots and intelligent control algorithms to create micro-patterned metallic surfaces with dramatically reduced friction.
The Ghosts in the Machine: How Psychology Limits AI
Current artificial intelligence, despite its successes, is subtly constrained by the learning theories of the past, hindering true adaptability and general intelligence.
EV Battery Disassembly: A Smarter Approach with Robotics
Researchers have developed a collaborative robotic platform that uses artificial intelligence to improve the efficiency and precision of electric vehicle battery disassembly.
A Sense of Touch: Robotic Hands Get a Grip on Slip Detection
Researchers have developed a bio-inspired tactile system that allows robotic hands to reliably recognize contact and prevent objects from slipping, enhancing dexterity and reliability.