Study: Global AI Chipset Market to Exceed $700B with 31.8% CAGR

According to TMR Research, the global artificial intelligence chipset market size is expected to exceed $700 billion, with a compound annual growth rate of 31.8% from 2022 to 2031. The article discusses the development trends, application areas, and key players in the artificial intelligence chipset market, which is highly timely and valuable for readers interested in the artificial intelligence chipset market.

IBM Research: How AI & Automation Protect Businesses from Data Breaches

IBM's report provides sufficient evidence that artificial intelligence, automation, and threat intelligence can address data breaches throughout the lifecycle, reduce costs, and provide stronger evidence. The research found that integrating artificial intelligence and automation into security operations teams can reduce the lifecycle of data breaches by 33% and costs by 33.6%. However, currently, only 28% of enterprises widely apply artificial intelligence and automation. Many enterprises rely on legacy systems, which are easily bypassed by attackers. The significance of this article lies in emphasizing the effectiveness of artificial intelligence and automation in improving cybersecurity and calling on enterprises to widely adopt these technologies to protect data security.

Google's AGI Robot Breakthrough: 54 - Member Team's 7 - Month Work, High Generalization and Reasoning 解释：核心关键词为“谷歌AGI机器人”（Google's AGI Robot）和“新成果”（Breakthrough），标题简洁地概括了主要内容，以动词开头，符合英文习惯，且长度在规定范围内。

The robotics research team at Google DeepMind recently released a robotics project called RT-2. This project took 7 months to develop and uses a large model for training. RT-2 has capabilities such as symbol understanding, reasoning, and human recognition, and can think and complete tasks based on human instructions. By combining the large model with the robot's operational capabilities, RT-2 can accomplish tasks that involve logical leaps, such as from 'extinct animals' to 'plastic dinosaurs'. The results of this project performed well in various sub - category tests, with performance up to three times that of the previous generation of robot models. This research result demonstrates the potential of large models in robotics research and is expected to drive the development of robots in the future.

RWKV: Small Team Aims to Be Android of AI Era with Big Model

Meta Intelligence OS is a startup founded by Bloomberg. It has developed a series of large models based on the open-source model RWKV and aims to become the Android in the era of large models. The RWKV model has superior performance and low cost in inference tasks, thus attracting customers from industries such as finance, law firms, and smart hardware. The business model of Meta Intelligence OS is model customization based on private data and internal AI Agent development. The company hopes to solve the problems of API call latency and data security by deploying large models on terminal devices. Currently, RWKV versions are available on Windows, Mac, and Linux computers, and Android and iOS versions are also in development. Meta Intelligence OS is raising funds and collaborating with chip companies and computing power platforms to create benchmark customers. Luo Xuan said that the decisive battlefield for large models is on hardware, and both terminal devices and the cloud require dedicated chips.

MegaT model launched on PyPI Achieving 400 tokens/second ultra-fast response

MegaT AI Search has launched a brand new Ultra-fast model, marking a significant breakthrough in its artificial intelligence search technology. Through innovative technical means, the response speed of MegaT AI Search has reached an amazing 400 tokens/second, ensuring that most questions can be answered within 2 seconds. This advancement not only enhances user experience but also significantly improves information retrieval efficiency. The realization of the Ultra-fast model is thanks to the application of multiple advanced technologies. The MegaT AI team has optimized on GPUs using ker

Quark launches industry's first in-depth高考 search; one sentence generates a志愿填报 plan

Zhengzhou, Henan Province, Model Exam 2 scores 549 points, liberal arts, admission line is 517 points, recommend how to apply for university. As the college entrance exam approaches, questions like this have become typical search queries for candidates and parents. Try throwing this question at a traditional search engine, and the results will show advertisements on top and inaccurate web links thereafter. When using emerging AI chatting tools, the search results often mix in引流 web pages from training institutions, low-quality experience sharing content, etc., seemingly making efforts but actually going wrong from the start. To solve this industry problem, on May 27th, Quark launched the industry's first

Study: Global AI Chipset Market to Exceed $700B with 31.8% CAGR

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