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The AI Scientist: Automating Research Plan Creation

December 30, 2025 by BBG News

The system trains models to autonomously generate research plans, evaluating their quality through rubric-based rewards derived from a dataset curated by a separate model selecting representative examples from existing research papers-a process where plans are assessed against both goal-specific rubrics and general guidelines, with the fraction of satisfied criteria forming the basis for training and evaluation metrics.

A new framework uses artificial intelligence to autonomously generate detailed research plans, bypassing the need for human-created training data.

Categories Science

Bringing Robots to Life: Visualizing Simulations with Blender

December 30, 2025 by BBG News

APOLLO Blender facilitates the rapid creation of publication-quality visualizations and animations for robotics research, instruction, and outreach by leveraging standard Universal Robot Description Format (URDF) files and a concise scripting interface to render complex robot motion sequences-such as a humanoid executing intricate movements-as single, transparent, color-faded static frames.

A new Python library streamlines the process of creating stunning robotic visualizations and animations directly within the popular open-source 3D creation suite.

Categories Science

Can AI Truly Do Science? A New Toolkit Measures Reasoning Beyond Knowledge

December 30, 2025 by BBG News

Researchers have released an open-source evaluation toolkit designed to rigorously assess the scientific intelligence of artificial intelligence models, uncovering critical limitations in their ability to reason and problem-solve within complex scientific domains.

Categories Science

Reading Robots’ Minds: The Path to Truly Interactive AI

December 30, 2025 by BBG News

A new perspective argues that building robots capable of understanding human intentions requires a more rigorous evaluation of how they explain their actions.

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Mapping the Cancer Research Network: Who Collaborates and Why

December 30, 2025 by BBG News

A new analysis reveals the key factors driving research partnerships in the fight against cancer, leveraging machine learning to understand collaborative patterns.

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Robots Get a Brain Boost: The Rise of Intelligent Manipulation

December 30, 2025 by BBG News

This work presents a comprehensive survey of embodied manipulation, beginning with an overview of high-level planning architectures and focusing specifically on learning-based strategies for low-level control implementation.

This review explores how recent advances in artificial intelligence are transforming robotic manipulation, enabling robots to perform increasingly complex tasks.

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AI and the Lean Startup: Mapping a New Frontier

December 30, 2025 by BBG News

A comprehensive analysis reveals how artificial intelligence is being applied – and where it still needs to be explored – within the world of lean startup methodologies.

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Swarm Intelligence: Building Robust Robot Groups with Natural Movement

December 30, 2025 by BBG News

The average velocity of both the AA-V and AAPG-V algorithms exhibits a discernible relationship with the proportion of faults present, with performance notably influenced by the scale of the swarm considered.

Researchers are drawing inspiration from insect swarms to create more resilient and adaptable collective robot motion systems.

Categories Science

AI Takes the Helm: Mastering Nuclear Reactor Control

December 30, 2025 by BBG News

An integrated framework for agentic physical AI demonstrates that scaling foundation models from 1K to 100K nuclear reactor scenarios induces qualitative phase transitions-increasing precision from 26.2% to 92%, collapsing variance by 500×, and compressing policy entropy from 1.38 to 0.89 nats-while a two-phase curriculum leveraging CPT and LoRA stabilizes agentic policies by separating domain structure from task specialization and concentrating 76% of actions on single strategies despite limited training frequency, ultimately achieving closed-loop control within specified tolerances in a physics-constrained environment [latex]\mathcal{M}\_{\text{feas}}[/latex].

A new approach to artificial intelligence demonstrates reliable power control of a nuclear reactor through data-driven learning and closed-loop simulation.

Categories Science

Guiding the Analyst: A Framework for Intelligent Assistants

December 30, 2025 by BBG News

The study dissects the design space of intelligent agents by partitioning a visual analytics system into agent, infrastructure, and environment components, ultimately characterizing agent behavior through five key dimensions - configuration and logic, world model, observations, communication, and actions - alongside considerations for the underlying infrastructure.

New research maps the design landscape for AI agents that collaborate with humans in visual analytics, offering a systematic approach to building more effective data exploration tools.

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