Decision Making Needs Uncertainty Quantification [Lecture Notes]
These lecture notes examine the theoretical relationship between uncertainty quantification and effective decision-making in autonomous agents.
These lecture notes examine the theoretical relationship between uncertainty quantification and effective decision-making in autonomous agents.
This study performs a comparative analysis of different code-execution environments to determine their impact on the performance of AI coding agents.
The HABIB_TAZ system uses synthetic training and multi-objective optimization to help language models separate formal logic from real-world content biases.
The ARMOR framework introduces off-policy anchor samples to stabilize reinforcement learning in large language models and prevent over-optimization.
A study reveals that diverse modern vision encoders converge toward a shared sixteen-dimensional geometric structure, termed the cross-architecture substrate, regardless of their training objectives.
Pipette is a new simulation platform and benchmark created to improve the training and data efficiency of robotics systems used in biomedical laboratory environments.
A new neural architecture search framework utilizes swarm intelligence and transformer controllers to enable efficient model design on consumer-grade hardware.
Major South Korean semiconductor manufacturers SK Hynix and Samsung Electronics experienced significant stock price declines during a broader market downturn.
Webyne is planning to expand its data center footprint in India to 100MW, significantly increasing its current 10MW capacity.
Paris-based AI voice startup Gradium has raised a $100 million seed round backed by Nvidia to expand its operations to the Bay Area.
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.
Researchers have achieved a record 28.04% efficiency in perovskite-organic tandem solar cells, a development that could eventually support the high energy demands of AI data centers.
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.
The article discusses the emergence of low-quality, AI-generated films that attempt to capitalize on the popularity of mainstream cinematic releases.
China's newly approved consumption plan outlines measures to promote smart home devices and next-generation intelligent terminals to upgrade residential living.
OpenAI has introduced ChatGPT Work, an autonomous AI agent capable of executing multi-step tasks across various applications and files.
Recent data indicates a significant increase in Codex usage, reaching seven million users over the past six months.
Sieyuan Information announced that its AI strategy is progressing systematically, focusing on computing infrastructure deployment in the near term and industrial vertical models in the long term.
Enterprise AI agent startup Lyzr has raised $100 million in a funding round managed by its own autonomous AI agent.