When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration
This study examines how users perceive their own authorship when collaborating with generative AI tools.
This study examines how users perceive their own authorship when collaborating with generative AI tools.
Researchers have developed a relational database bridge to connect bibliographic metadata with formalized mathematical proof libraries.
This review paper examines the evolution of algorithms for the maximum clique problem, comparing classical, AI-based, and quantum computing approaches.
Researchers have introduced a communication framework that allows AI agents to exchange information directly through latent states rather than relying on natural language tokens.
WrAFT is a modular automated writing evaluation system designed to provide scoring and feedback for argumentative essays using various large language models.
A new multi-agent framework automates the generation of verifiable rules for classifying chemical reactions to improve computer-assisted synthesis planning.
A multi-scale vision transformer approach is detailed for identifying multiple plant species in high-resolution photographs using limited training data.
A new platform called CrimeNER Demo has been introduced to facilitate named-entity recognition and classification of crime-related information in documents.
Researchers have developed a new simulation testbed designed to evaluate how AI models handle complex, long-horizon business decision-making.
Researchers developed a tool to quantify human versus AI contributions in creative works to address ongoing debates regarding artistic ownership.
Researchers evaluated the performance of five prominent world-model agents in Atari Pong to better understand their isolated capabilities.
Researchers developed an explainable AI model using LiDAR data to improve the accuracy of satellite ground station siting by better accounting for local terrain obstructions.
This research proposes a model for optimizing power and channel performance in magnetic inductive cellular networks used in underground environments.
Meta has launched Muse Spark 1.1, an AI coding tool designed to manage large agentic workloads, debug code, and assist with software migrations.
Paris-based AI voice startup Gradium has raised a $100 million seed round backed by Nvidia to expand its operations to the Bay Area.
Webyne is planning to expand its data center footprint in India to 100MW, significantly increasing its current 10MW capacity.
Major South Korean semiconductor manufacturers SK Hynix and Samsung Electronics experienced significant stock price declines during a broader market downturn.
Embodied AI bionic flapping-wing robotics company Yingkan Zhiyi has secured tens of millions of yuan in a Series A funding round led by Oriza PUHUA.
China is reportedly easing its internal restrictions to allow selected domestic AI firms to purchase Nvidia's H200 graphics processing units.
Anthropic researchers have developed a tool called the Jacobian lens to gain deeper insights into how large language models process concepts internally.
A modified Unitree G1 humanoid robot has successfully performed a laparoscopic gallbladder removal on a living subject, representing a milestone for general-purpose robotics in medicine.
Meituan is shifting its delivery platform strategy to prioritize rider safety and benefits alongside operational efficiency.
Researchers are exploring new architectural frameworks to move robotics beyond traditional modular systems toward unified foundation models for general-purpose physical intelligence.
The China Association of Automobile Manufacturers reported that the top ten automotive companies accounted for over 84% of total sales in the first half of 2026.