Beyond the Resume: AI Reshapes the Hiring Process
A new system leverages artificial intelligence and multimodal data analysis to accelerate and improve initial candidate screening.
Science
The Weight of Connection: Understanding Human Handovers
A new dataset reveals how object weight fundamentally shapes human movement and care during collaborative handovers, offering critical insights for building more intuitive robotic assistants.
Beyond Memorization: Teaching AI to Reason Like a Chemist
![A multi-stage training pipeline refines a base language model-initially exposed to [latex]3.9[/latex] billion chemistry-focused tokens-through supervised fine-tuning on molecular understanding, structure-aware question answering, and chemical chain-of-thought reasoning, then further specializes it via reinforcement learning from scientific feedback or reasoning-style supervised fine-tuning, iteratively refining the model's policy based on aggregated rewards from task-specific evaluation of candidate answers.](https://arxiv.org/html/2512.21231v1/figures/figure1.jpg)
New research reveals a training method that significantly boosts the chemical reasoning abilities of artificial intelligence models, moving beyond simple pattern recognition.
The Limits of AI Coding: When Language Models Miss the Mark
New research reveals that while large language models show promise in coding qualitative data, they struggle with nuanced analysis and rare but critical themes.
Closing In: A Universal Approach to Robotic Interception
Researchers have developed a versatile autonomy framework enabling robots to reliably intercept moving targets, even when those targets don’t cooperate with the pursuit.
The Productivity Leap: How AI is Rewriting the Rules of Work
New research reveals a strong correlation between advances in artificial intelligence and measurable gains in professional output, suggesting a significant economic impact in the years ahead.
Robots That Understand: Guiding Grasps with Natural Language
![The system generates four-degree-of-freedom grasp poses for robotic manipulation by integrating visual data from an RGB-D camera with language queries, enabling the planning and execution of pick-and-place tasks through a dedicated control module and leveraging the proposed Learning-to-Grasp with Generative Diffusion (LGGD) framework to synthesize appropriate grasps directly from perception and instruction [latex] \implies [/latex] a unified approach to robotic dexterity.](https://arxiv.org/html/2512.21065v1/x1.png)
A new framework enhances robotic manipulation by seamlessly integrating visual perception with human language instructions.
Closing the Trust Gap: Aligning AI Capabilities with Ethical Standards
A new framework seeks to reconcile the technical performance of artificial intelligence with the growing need for regulatory compliance and societal values.
Level Up Robotics: Gamifying Data Collection for Smarter Robots
A new platform leverages the power of games to dramatically expand participation in robot training and accelerate the development of more capable AI.
Beyond Touch: Robots ‘See’ Beneath the Skin
![The system’s response to transitioning between tendon-present and tendon-absent regions is characterized by a distinct shift in tactile sensing, correlating with changes in both positional data and the absolute value of the vertical force [latex] \Delta F\_{z}^{\text{abs}} [/latex], with normalized force changes during this transition providing insight into the system’s adaptive behavior.](https://arxiv.org/html/2512.20992v1/x5.png)
New research demonstrates a multimodal sensing system enabling robotic palpation to detect subsurface tissue features, enhancing precision in physiotherapy and beyond.