Abstract: Machine learning algorithms have become pervasive in diverse applications, revolutionizing various domains. However, the abundance of algorithms, each designed for specific purposes, poses a ...

可穿戴健康监测信号由于监测难度高、观测噪声大、易受干扰，高质量的心血管信号仍难以长期便捷获取，这是智能健康监测系统始终面临的现实困境。近日，清华朱军等团队提出了一种统一的多模态生成框架 ...

Tech’s founding prophets called the AI Revolution decades early, and got quite a few things wrong about it, finds Satyen K.

Jensen Huang, NVIDIA, and the World’s Most Coveted Microchip stands apart from most books written about artificial ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

According to Meta's published results, LALAL.AI demonstrated the smallest performance gap to SAM Audio among commercially available solutions in professional instrument separation, a category focused ...

Digital avatar generation company Lemon Slice is working to add a video layer to AI chatbots with a new diffusion model that ...

A multiday, moisture-laden series of atmospheric river storms tracking from Hawaii to Northern and Central California are ...

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...

Instead ChatGPT has become perhaps the most successful consumer product in history. In just over three years it has accumulated 800 million weekly active users. It has grown faster than Facebook, ...