For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

The vision of Ambient AI in smart homes promises an intelligent system that understands and adapts to its occupants. Despite ...

On September 12, 2025, the Fourth Large Model-Driven Enterprise Digital Transformation Forum was successfully held at the Shougang Park in Beijing. The China Everbright Bank's 'AI Testing Experience ...

The core of MeshCoder lies in converting point cloud data of 3D objects into editable BlenderPython s. This method disrupts traditional modeling workflows, eliminating the reliance on manual mesh ...

Federated learning provides an alternative by enabling local model training on distributed devices, with only model updates shared back to a coordinator. This design preserves privacy, reduces ...

Recent heat waves in the United States underscore a growing public health threat: Extreme heat events are growing longer, ...

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

The first complete activity map of the brain has been unveiled by a large international collaboration of neuroscientists. The ...

We recently helped a client introduce our AI-powered HR platform. The journey followed the six stages I have often ...

A new AI architecture developed by a small Singaporean startup has made headlines after outperforming major large language ...

The healthcare industry is in the midst of transformational change, driven by the introduction of the V28 Hierarchical Condition Category (HCC) model and other related factors. This change is spurring ...

Each chiplet can be optimized for a specific role -- compute, memory, graphics or connectivity, and allows designers to ...