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Beyond Words: How AI is Building a Theory of Social Minds

13.02.2026 by ebaster

Model performance, as measured by average accuracy across domains of pragmatics, theory of mind, and syntax, demonstrates a clear correlation with model size-larger models consistently achieve higher accuracy, suggesting a capacity for increasingly nuanced cognitive processing.

New research suggests that large language models aren’t just processing text, but developing shared computational mechanisms for understanding intentions and navigating social contexts.

Categories Science

Easing Young Patients’ Burden: A Robot’s Role in Cancer Care

13.02.2026 by ebaster

A pilot study explores how a social robot, named Maya, can provide emotional support and reduce pain during medical procedures for children undergoing cancer treatment.

Categories Science

Beyond Sensationalism: What Claims Do People Actually Want Fact-Checked?

13.02.2026 by ebaster

The study demonstrates interconnectedness between epistemic stances-categorized by target and temporal dimensions-and assessments of verifiability, suggesting that judgments about what is known are intrinsically linked to how knowledge is situated in time and context.

New research reveals a significant gap between the types of claims users seek to verify and the focus of current fact-checking efforts.

Categories Science

Beyond Astronaut Assistance: Lessons from a Decade of Robotic Teammates in Space

12.02.2026 by ebaster

A comprehensive review of the Astrobee, CIMON, and Int-Ball robots reveals key insights into the challenges and successes of deploying free-flying robots to support human crews aboard the International Space Station.

Categories Science

Agents Learn to Count, But Struggle to Generalize

12.02.2026 by ebaster

The study demonstrates that penalizing longer messages in a discrete communication system-trained on numerosities of one to five with a three-token vocabulary-induces a trade-off between accuracy and message length, as evidenced by a decreasing conditional entropy and average message length with increasing regularization coefficients.

New research reveals how artificial agents develop numerical communication through interaction, showcasing both impressive precision and inherent limitations in scaling to unseen numbers.

Categories Science

Robots That Ask for Help: A New Framework for Reliable Task Completion

12.02.2026 by ebaster

A failure recovery framework integrates confidence estimates from a modular policy with predictions of user workload to dynamically balance autonomous action with targeted requests for human intervention, anticipating the inevitable limits of both machine and operator.

Researchers have developed a human-in-the-loop system that allows robots to intelligently request assistance when they encounter difficulties, improving task reliability and reducing human workload.

Categories Science

Securing the Rise of AI Agents

12.02.2026 by ebaster

As AI systems gain autonomy, a new approach to security is needed to ensure reliable and trustworthy operation.

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Robots That See the Future: Predicting Actions with Video World Models

12.02.2026 by ebaster

The models demonstrate a susceptibility to inherited biases and limitations in their training data, as evidenced by instances of incorrect tool selection, scale inaccuracies stemming from mismatched camera perspectives, and failures to infer basic sequential actions-all of which highlight the challenges of grounding embodied AI in physical reality despite advancements in generative capacity and domain adaptation techniques.

New research demonstrates how robots can learn to anticipate the consequences of their actions using advanced video prediction, enabling more complex and reliable manipulation tasks.

Categories Science

AI Uncovers Hidden Equations of Nature

12.02.2026 by ebaster

The PiT-PO framework refines large language models into adaptive equation generators through a reinforcement learning process driven by dual-constraint evaluation-balancing physical feasibility with theoretical consistency-to produce parsimonious and physically plausible results at a token level, effectively moving beyond static proposition towards dynamic refinement.

Researchers are leveraging the power of artificial intelligence to automatically discover fundamental equations governing complex physical phenomena.

Categories Science

Seeing the Crowd: Smarter Paths for Robots

12.02.2026 by ebaster

Visual Language Models demonstrate capacity for crowd recognition, enabling quantitative analysis of population density and distribution.

New research leverages advanced AI to help robots understand and navigate complex environments with people, going beyond simple obstacle avoidance.

Categories Science
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