Search AI Products and News

A recent report titled "Health Tech 50 - The First Edition" released by KPMG China reveals that China has taken a leading position in the field of medical large models globally. The report indicates that the number of medical large models launched in China accounts for more than 70% of the global total, far surpassing other countries and regions. In terms of model categories, large language models (LLMs) are the most numerous, accounting for nearly 65%. Moreover, the report also highlights the strong growth momentum of the intelligent medical devices market in China. It is expected that by 2025, the scale of the intelligent medical devices market in China will reach 24.23 billion yuan, and it will continue to grow.

After a long period of anticipation and speculation, Xiaomi has finally officially announced its first AI glasses product. This highly anticipated device will be unveiled at tomorrow night's launch event. As another key product in Xiaomi's smart wearables field, the glasses are positioned as personal smart devices for the next generation, drawing widespread attention from the industry and consumers. It is reported that the rumors about Xiaomi AI glasses had already surfaced last year, but Xiaomi has remained silent and did not reveal any specific information. Now, with the release date approaching, the mystery surrounding this product is gradually being unveiled.

San Francisco-based artificial intelligence startup Anthropic has announced a major update to its Claude conversational AI robot: a brand-new voice mode. This feature is now available on the mobile application in Apple's App Store (iOS devices) and Google's Play Store (Android devices). In addition to the introduction of the voice mode, Anthropic has also expanded web search capabilities for all free users. These updates are designed to enhance diversity and functionality of Claude.

In today's rapidly expanding AI landscape, many businesses face high hardware costs, particularly the need for advanced computing chips. To address this challenge, Indian AI startup Ziroh Labs, in collaboration with researchers from top technical institutes in the country, has launched a novel, affordable system capable of running large AI models without relying on high-end computing chips from companies like Nvidia. This innovative system marks a significant step towards democratizing AI access by expanding device options.

Recently, OpenAI applied for a new trademark involving wearable devices such as augmented reality (AR) and virtual reality (VR) headsets and glasses. This move has sparked widespread attention in the industry and may indicate OpenAI's intention to expand its presence in the hardware sector. In recent years, with the rapid development of artificial intelligence technology, the demand for wearable devices has been growing, particularly devices in the form of glasses, which are considered ideal carriers for AI technology. Tech giants like Meta, Apple, Samsung, and Google have all increased their investments in AR/VR.

With the rapid proliferation of digital devices, how to perfectly adapt images and videos to various screen sizes has become an urgent issue to address. A research team from the University of Sharjah in the UAE recently published a study that developed a novel technology using deep learning models to automatically predict the optimal size of images for seamless display across different devices. The core of this research utilizes transfer learning techniques, employing deep learning models such as Resnet18, DenseNet121, and InceptionV3.

In recent years, significant progress has been made in artificial intelligence technology, but challenges still exist between computational efficiency and multi-functionality. Many advanced multi-modal models, such as GPT-4, typically require substantial computational resources, limiting their use on high-end servers and making it difficult for intelligent technologies to be effectively utilized on edge devices like smartphones and tablets. Furthermore, real-time processing of tasks such as video analysis or speech-to-text still faces technical barriers, highlighting the need for efficient and flexible AI models to achieve seamless performance under limited hardware conditions.

Nexa AI recently unveiled its new OmniAudio-2.6B audio language model, designed to meet the efficient deployment demands of edge devices. Unlike traditional architectures that separate automatic speech recognition (ASR) and language models, OmniAudio-2.6B integrates Gemma-2-2b, Whisper Turbo, and a custom projector into a unified framework. This design eliminates the inefficiencies and delays associated with linking various components in traditional systems, making it especially suitable for resource-constrained computing.