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The Collaborative Scientist: Scaling Deep Research with AI Agents

19.04.2026 by ebaster

MindDR-v1.5 demonstrably surpasses existing deep research systems across all five evaluated metrics on the DeepResearch-Benchmark leaderboard, establishing a new state-of-the-art in the field.

A new framework demonstrates how teams of AI agents can dramatically improve the efficiency and performance of complex research tasks.

Categories Science

Bringing Gestures to Life: AI Synthesizes Realistic Movement

19.04.2026 by ebaster

A pipeline synthesizes deictic gestures by leveraging reference frames and structured text prompts as input to the Vidu image-to-video model, effectively translating descriptive language into dynamic visual representations.

Researchers are tackling the challenge of limited gesture data by using generative AI to create synthetic video, boosting the accuracy of human-robot interaction systems.

Categories Science

Beyond Context Windows: Sharpening AI Reasoning with Dynamic Memory

19.04.2026 by ebaster

Information extraction functions as a critical intermediary, analogous to a hardware cache, enabling a reasoning agent to access and utilize raw text by structuring it into a hierarchical representation akin to computer memory.

A new framework leverages information extraction to equip large language models with a compact, relevant knowledge base for improved accuracy and efficiency.

Categories Science

Beyond Auto-tuning: A New Approach to Tensor Program Optimization

19.04.2026 by ebaster

Prism unlocks unprecedented performance gains in tensor programs by systematically exploring a vast optimization landscape using a novel symbolic graph representation.

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Can AI Learn to Cooperate?

19.04.2026 by ebaster

This study investigates the capacity of large language models to stabilize cooperative outcomes in social dilemmas, finding that while both mediator and contract designs can encourage cooperation, achieving stability through weakly dominant strategies proves elusive-particularly in scenarios like Travelers and Trust, where theoretical limitations preclude such designs.

New research explores how artificial intelligence agents can overcome self-interest and work together in challenging scenarios.

Categories Science

Beyond Intelligence: Can AI Truly Share Our Values?

19.04.2026 by ebaster

As artificial intelligence becomes increasingly integrated into decision-making processes, ensuring its moral compass aligns with human expectations is paramount for fostering trust and acceptance.

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Mining Clinical Trials with AI and Human Expertise

19.04.2026 by ebaster

The EviSearch system establishes a foundational architecture for evidence-based reasoning, enabling the structured exploration of complex information spaces and facilitating the rigorous evaluation of claims through logically connected evidence chains [latex] E = \{e_1, e_2, ..., e_n\} [/latex].

A new system combines the power of artificial intelligence with human oversight to accelerate the process of extracting reliable evidence for systematic reviews.

Categories Science

Feeling is Believing: A New Interface for Robotic Hand Control

19.04.2026 by ebaster

DEX-Mouse achieves calibration-free teleoperation across diverse robotic morphologies-including a simulated 30-DoF hand, an 8-DoF hand, and an 11-DoF humanoid hand-through simple proportional retargeting, suggesting a pathway toward generalized control despite variations in kinematic structure.

Researchers have developed a low-cost, portable device that allows users to intuitively control and collect data from dexterous robotic hands using force feedback.

Categories Science

Designing in the Age of AI Agents

19.04.2026 by ebaster

AADvark constructs detailed 3D assemblies within FreeCAD by iteratively building upon a foundational rectangular prism, progressively adding components and joints to realize complex models.

A new agentic system is automating 3D CAD model creation, pushing the boundaries of what’s possible in design and assembly.

Categories Science

Untangling Climate Narratives: A New Dataset for Causal Reasoning

18.04.2026 by ebaster

Researchers have created a resource to help artificial intelligence better understand the complex relationships described in climate change reports.

Categories Science
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