The Unexpected Link Between Disparate Ideas and Creative Sparks
New research reveals how connecting seemingly unrelated concepts fuels human creativity, but fails to yield the same results in artificial intelligence.
Science
How Alzheimer’s Spreads: Mapping the Brain’s Vulnerable Pathways
New research reveals how Alzheimer’s-related proteins propagate through the brain’s intricate networks, offering insights into the disease’s progression.
Building Bridges with Bots: A Robot Companion for Newcomer Kids
Researchers co-designed Maple, a social robot, to help young immigrants learn English and adapt to a new culture through community-based literacy programs.
Can AI Dream Up New Math Problems?
Researchers are exploring whether large language models can move beyond solving existing mathematical challenges to actually generate novel research questions.
Robots Learn to Handle Anything: Adapting to the Unexpected in Deformable Object Manipulation
New research details a method for robots to quickly learn and adapt to the unpredictable dynamics of deformable objects, paving the way for more robust and versatile manipulation capabilities.
Decoding Material Behavior: A New Link Between Bonding and Properties
Researchers have developed a novel database and descriptor to connect atomic-level bonding characteristics with macroscopic material properties, potentially accelerating materials discovery through artificial intelligence.
Simulating the Inferno: Realistic Fire for Robot Training
Researchers have developed a new framework that brings high-fidelity fire dynamics into robot simulation, creating more realistic and challenging environments for testing and development.
The Algorithmic Scales of Justice
A new review examines how artificial intelligence is being integrated into judicial decision-making, and what it means for the future of the legal system.
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.
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.