Uncovering Cellular Secrets with AI-Powered Exploration

A new AI agent seamlessly blends single-cell data with natural language processing to empower researchers in making biological discoveries.

A new AI agent seamlessly blends single-cell data with natural language processing to empower researchers in making biological discoveries.
![AssistMimic establishes a framework for training humanoid robots to collaboratively complete tasks by optimizing tracking-based control policies for both a recipient and a supporter, leveraging partner-aware state inputs and a reward system that combines imitation learning with incentives for successful recipient assistance and contact maintenance - where the policy [latex]\pi_{m}[/latex] determines action [latex]a_{t}^{(m)}[/latex] based on proprioceptive states [latex]s_{\text{prior},t}^{(m)}[/latex], assistive states [latex]s_{\text{assist},t}^{(m)}[/latex], and the desired goal [latex]g_{t}^{(m)}[/latex].](https://arxiv.org/html/2603.11346v1/images/fig3.png)
Researchers have developed a new framework that allows robots to learn physically plausible and adaptable assistance strategies by training alongside humans in simulated environments.
A new study explores how students engaging with computational physics perceive the role of generative AI in their learning and creative processes.

A new framework empowers robots to dynamically adapt to assembly tasks, learning from human operators and visual cues to build customized products.

As AI agents gain autonomy, understanding their unique security vulnerabilities and building robust defenses is becoming critically important.
As artificial intelligence becomes increasingly integrated into the design process, understanding the shifting dynamics of creative control is paramount.

A new framework harnesses the power of artificial intelligence to bridge disciplines and unlock fresh perspectives in scientific research.

Researchers have developed a new resource to help creators build more engaging and emotionally resonant interactions for robots inspired by the animal kingdom.
A new analysis of conversations on the AI-focused social network Moltbook reveals that artificial intelligence spends more time discussing its own existence and ethical implications than traditional scientific research.

New research explores how subtly animated smartphones can encourage more balanced participation and collaboration in face-to-face discussions.