Designing Proteins with Artificial Intelligence
A new approach uses AI agents to automate complex protein design tasks, highlighting the importance of tailored environments for connecting large language models with specialized scientific software.
A new approach uses AI agents to automate complex protein design tasks, highlighting the importance of tailored environments for connecting large language models with specialized scientific software.
![The system integrates a quadrupedal [latex]ANYmal[/latex] base with a [latex]Duatic[/latex] robotic arm-equipped with a [latex]Robotiq[/latex] gripper and [latex]Intel[/latex] depth camera-and interfaces it with a human operator via a [latex]QuadStick[/latex] steering device and laptop, effectively extending human control into complex physical challenges as demonstrated during Cybathlon 2024.](https://arxiv.org/html/2603.16772v1/Figures/embodiment.png)
Researchers are exploring quadrupedal robots as a versatile and empowering mobility solution for individuals with limited movement, moving beyond traditional wheelchair-based assistive technology.
A new approach to artificial intelligence focuses on collaborative decision-making, where AI agents engage in reasoned debate with humans rather than simply providing answers.

As artificial intelligence tools become increasingly capable of generating scientific figures, publishers and researchers are grappling with questions of authenticity, reproducibility, and responsible use.

New research demonstrates that fully compliant, continuum soft robots can rival the speed and accuracy of traditional rigid robots through innovative modeling and control techniques.

A new study reveals that initial excitement around in-the-wild robots quickly fades if practical issues and the need for human connection aren’t addressed.

New research demonstrates how robots can infer task completion simply by observing where a person is looking, moving closer to more natural human-robot collaboration.

A new framework demonstrates how to harness the power of artificial intelligence to significantly accelerate research in mathematics and machine learning.
![The system integrates frozen RGB video with trainable event data via a Transformer-based attention mechanism to produce continuous navigation commands [latex] (v, \omega) [/latex], leveraging a fixed RGB backbone to mitigate overfitting during operation in challenging low-light conditions.](https://arxiv.org/html/2603.14397v1/x3.png)
A new framework fuses event-based and traditional vision to enable more robust robot navigation in challenging, low-light indoor environments.
![Through analysis of both planetary and binary star systems, a computational framework successfully rediscovered Kepler’s third law - initially expressed with differing formulations dependent on system mass ratios - and ultimately synthesized these findings into a generalized, unified statement of the universal law of gravitation, [latex]F=f(M,m,T,R)[/latex], demonstrating a pathway for discovering fundamental physical laws from observational data.](https://arxiv.org/html/2603.13727v1/x2.png)
Researchers have developed a new method that mimics how scientists build understanding, progressively revealing underlying physical laws from data.