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The Stories We Tell About AI: Unpacking the Metaphors Shaping Policy

20.03.2026 by ebaster

A new framework for analyzing the narrative language used in artificial intelligence ethics and governance is critical for understanding the underlying assumptions driving policy debates.

Categories Science

Orchestrating Understanding: How AI Agents Can Decode Long-Form Video

20.03.2026 by ebaster

Single-agent systems struggle with the complex, multi-step reasoning demanded by long-video understanding, whereas a collaborative, multi-agent approach-decomposing tasks along functional lines-enhances reasoning capacity and overcomes these limitations.

A new multi-agent system, Symphony, uses collaborative AI to overcome the challenges of reasoning about extended video content.

Categories Science

Mapping Material Behavior: AI-Powered Microscopy Reveals Hidden Links

20.03.2026 by ebaster

A new approach combining autonomous microscopy and machine learning is dramatically accelerating the discovery of how a material’s internal structure dictates its electrical properties.

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Collective Construction: Robots Self-Assemble into Any Shape

19.03.2026 by ebaster

A swarm of 107 robots autonomously assembled into the shape of [latex]\mathcal{H}[/latex] through a process of initial clustering, diffusive exploration within a bounded arena, and targeted attachment, demonstrating a robust strategy for complex, collective construction despite inherent limitations in individual coordination.

A new decentralized algorithm allows simple robots to coordinate and build arbitrary 2D structures without central control or complex communication.

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When AI Reveals Itself: The Need for Transparent Bots

19.03.2026 by ebaster

A new review argues that conversational AI systems should proactively disclose their artificial identity, but current implementations struggle to consistently maintain this transparency across different conversational scenarios.

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Robots That Talk: Boosting Reliability in Multi-Agent Systems

19.03.2026 by ebaster

Robots in a cooperative localization scenario share GPS-like and inter-robot measurements-communicated with varying delay, indicated by arrow thickness and intensity-to estimate their positions along ground-truth trajectories, acknowledging that communication latency is an inherent factor in multi-robot systems.

New research highlights how intelligent communication strategies can unlock more robust and efficient coordination for teams of robots operating in challenging wireless environments.

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Beyond Prediction: Realigning Alzheimer’s Detection with How We Think

19.03.2026 by ebaster

The study aligns Alzheimer’s Disease detection with clinical validity by modeling the progression from disease onset to cognitive deficits as an agentic workflow-a causal chain operationalized through cognitive tasks and quantifiable metrics.

A new framework leverages the power of artificial intelligence to assess cognitive performance in a way that more closely mirrors clinical evaluations for Alzheimer’s Disease.

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Giving Robots a Voice: Text-to-Motion for Humanoid Locomotion

19.03.2026 by ebaster

RoboForge demonstrates physically plausible motion through a sequence of complex actions-including martial arts kicks, a forceful javelin throw, and a defensive squat followed by a kick and punch-highlighting its capacity for dynamic and varied movements.

Researchers have developed a new framework enabling humanoid robots to interpret natural language commands and translate them into stable, physically realistic movements.

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Bridging the Gap: Making AI Code Truly Reliable

19.03.2026 by ebaster

As AI agents increasingly write our code, ensuring that their output matches our intentions is becoming a critical challenge.

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Beyond Prompts: Encoding Creative Intent for Better Image Generation

19.03.2026 by ebaster

A continuous token template surpasses discrete language prompts by encoding richer creative intent, resulting in more coherent and visually harmonious outputs-a testament to the power of nuanced representation.

Researchers have developed a new framework that distills an agent’s creative process into reusable templates, significantly improving the efficiency and quality of text-to-image creation.

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