Beyond Apps: Giving Smartphones a Mind of Their Own
New research explores a system that allows smartphones to perform complex tasks autonomously, bridging the gap between language commands and real-world device control.
Science
The Shape of Life’s Data: What Foundation Models Really Learn
A new study systematically maps the geometric landscape within single-cell genomic foundation models, revealing that apparent biological structure often lacks robustness.
Bringing Articulated Objects to Life: A New Approach to 3D Reconstruction
Researchers have developed a self-supervised framework that accurately reconstructs complex, moving objects in 3D, pushing the boundaries of digital twin creation.
Unlocking the ‘Ear’ of AI: How We Can Understand Audio Model Decisions
New research introduces a framework for dissecting the internal workings of audio-based artificial intelligence, moving beyond ‘black box’ functionality.
Bringing Ocean Robotics to the Surface
A new underwater research facility aims to accelerate the development and testing of robotics for both maritime and space exploration.
Beyond Accuracy: Measuring AI Alignment in Medical Diagnosis
![The distribution and agreement composition of primary diagnoses for datasets [latex] R_0 [/latex] and [latex] R_1 [/latex] demonstrate distinct patterns in diagnostic classification.](https://arxiv.org/html/2602.22973v1/2602.22973v1/diagnostic_agreement_analysis.png)
A new framework analyzes how AI diagnostic reasoning evolves with expert feedback, offering a deeper understanding of AI’s decision-making process in dermatology.
Learning to See and Act: Robots Mimic Human Vision for Dexterous Manipulation
Researchers have developed a new system that enables robots to learn complex manipulation tasks by actively controlling their viewpoint, mirroring how humans visually guide their actions.
Decoding Life’s Patterns: How AI Learns Protein Sequences
![The model predicts masked tokens by integrating both repetition-related context-accessed through relative-position attention focusing on fixed offsets [latex] (\pm n \pm n) [/latex]-and biological features like amino acid biochemistry, a process refined in middle layers where induction heads copy information from aligned tokens in other repeat instances while repetition neurons provide inhibitory feedback, ultimately leading to a refined prediction informed by amino-acid-biased attention within the final MLP layers.](https://arxiv.org/html/2602.23179v1/2602.23179v1/x1.png)
New research illuminates the mechanisms by which protein language models identify repeating patterns, bridging the gap between artificial intelligence and biological systems.
Crafting Compelling Stories with Data: The Rise of AI-Assisted Infographics
Researchers have developed a new system that blends human creativity with artificial intelligence to streamline the design of visually engaging and narratively consistent infographics.
The Quest for a Truly General AI: A New Approach to Reinforcement Learning
Researchers have developed an agent that achieves provable optimality in reinforcement learning without relying on pre-defined models of its environment.