Evolving Power: AI Designs Next-Gen Circuit Topologies
A new AI framework, PowerGenie, automatically discovers power converter designs that outperform existing solutions by intelligently exploring a vast landscape of circuit configurations.
Science
The Power of Many: Unleashing AI Potential Through Model Collaboration
A new framework simplifies the process of combining language models, revealing significant performance gains and emphasizing the benefits of diverse AI approaches.
Seeing is Understanding: Teaching AI to Research Visually
A new framework empowers large language models to conduct in-depth visual research, dramatically improving performance on complex question answering and information retrieval tasks.
The AI Autonomy Gap: Why We Need Governance That Keeps Pace
As artificial intelligence systems become increasingly independent and operate at ever-increasing speeds, existing governance frameworks are proving inadequate to ensure human oversight and maintain intended outcomes.
The Secrets They Keep: Unlocking Hidden Instructions in AI
![Despite variations in surface-level wording, semantic extraction via the JustAsk method achieves [latex]0.94[/latex] semantic similarity with direct extraction from the npm package-specifically, Claude Code’s Explore subagent prompt-validating that consistency-based verification effectively captures the underlying operational semantics of the system.](https://arxiv.org/html/2601.21233v1/figures/fig_validation.png)
New research reveals that the core directives governing leading artificial intelligence models can be surprisingly easily exposed through clever questioning.
Bridging the Gap: A Simulator for Wheelchair-Arm Robotics
![WheelArm-Sim integrates human guidance into a physics-based simulation, enabling task execution through real-time teleoperation and simultaneously collecting data encompassing human instructions, visual information via [latex]RGB-D[/latex] images, and comprehensive robot performance metrics.](https://arxiv.org/html/2601.21129v1/Images/cover3_pic.png)
Researchers have developed a new physics-based simulator and dataset designed to accelerate the development of unified control systems for assistive robots that combine wheelchair navigation and robotic arm manipulation.
Can AI Agents Master the Complex World of Bioinformatics?
A new benchmark assesses the ability of artificial intelligence to autonomously navigate and complete intricate data analysis pipelines in the life sciences.
Building with Noise: Diffusion Models Learn to Compose and Recombine
![Latent components extracted from paired images are recombined-allowing for the selective transfer of appearance and scene characteristics-and then decoded via a diffusion process to generate novel imagery, a technique refined through adversarial training where the system learns to create convincingly merged visuals that challenge a discriminator’s ability to identify their hybrid origin-a process described by [latex] z \tilde{z} [/latex] representing the recombined latent code.](https://arxiv.org/html/2601.22057v1/figs/combined_illustration.png)
A new approach leverages discriminator guidance to unlock compositional learning in diffusion models, improving sample quality and expanding creative potential.
The Materials Discovery Loop: A New Benchmark for AI-Driven Design
Researchers have unveiled a new testing ground for evaluating the potential of machine learning to accelerate the discovery of novel materials.
Learning to Feel Physics: AI Gains Intuition from Minimal Data
Researchers have developed a reinforcement learning approach enabling an AI agent to rapidly acquire a human-like understanding of physics-based mechanics, even with extremely limited observational data.