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

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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.
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.
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.
At this morning's Google I/O 2025 conference, Google announced a series of exciting new technologies, further showcasing its latest advancements in artificial intelligence, immersive experiences, and developer tools. Here are the major highlights we can expect: 1. Material 3 Expressive: The Future of Expressive Design. Google will unveil Material 3 Expressive at the conference, a new design system described as "the future of Google's user experience design." Material 3 Ex...
At the recent Shanghai Auto Show, Zhuoyu Technology (hereinafter referred to as "Zhuoyu") announced its successful integration of Alibaba's Tongyi large model, marking another significant advancement in the field of intelligent driving. As an intelligent driving solutions provider and service provider, Zhuoyu leverages Alibaba Cloud's powerful computing capabilities to build an end-to-end intelligent driving world model, aiming to enhance the intelligence level of vehicles. In recent years, intelligent driving technology has rapidly developed, with major automakers significantly increasing their investment in this area. Zhuoyu Technology's collaboration with Alibaba's Tongyi large model has...