Search AI Products and News

Recent research from Alibaba's Tongyi Laboratory indicates that existing text-to-image Diffusion Transformer models already possess the ability to generate multiple images with specific relational contexts. With just a little 'guidance', they can achieve a synthesis of understanding and produce high-quality multi-image collections. Traditional Diffusion models are more like 'rote learning' students, requiring massive datasets to generate high-quality images. However, with the support of IC-LoRA, they become 'high-achieving students', capable of learning through analogy.

Turkish high school student Selin Alara Ornek innovatively created an AI-driven machine guide dog using Nvidia technology to provide high-tech assistance for visually impaired people. Combining advanced robotics and AI technology, Ornek's IC4U project utilizes AI cameras and sound sensors for precise object detection and recognition, aiding in daily activities such as shopping. This quadruped robot, powered by the Nvidia Jetson Nano chip, efficiently processes visual and auditory information. Ornek is committed to...

Etched's Sohu chip claims to be 20 times faster than the Nvidia H100 chip when running AI models, specifically designed to optimize transformer AI model processing and does not support other AI models. This specialization allows Sohu to exhibit extremely high computational power for tasks like ChatGPT. The launch of Sohu could lead to a revolution in the AI hardware market, especially in multimodal processing and real-time translation applications. Etched has successfully raised $120 million and partnered with TSMC for the production of 4nm chips.

AI chip startup Etched.ai has recently secured $120 million in funding to develop transformer-specific AI chips designed for training and deploying large language models.

In today's rapidly advancing field of artificial intelligence, a company named Etched is betting everything on an AI architecture known as Transformer. The company recently announced the launch of the world's first application-specific integrated circuit (ASIC) chip designed specifically for Transformers—Sohu—claiming that its performance far exceeds any GPU currently on the market and will bring revolutionary changes to the AI field.