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.
Recent news reports suggest that the use of polite language with AI chatbots like ChatGPT could cost OpenAI millions of dollars annually. This claim stems from a social media comment by OpenAI CEO Sam Altman, sparking widespread media discussion. It began with a user questioning Altman on social media about whether users saying 'please' and 'thank you' to AI resulted in increased electricity costs for OpenAI.
The JEDEC Solid State Technology Association has announced the highly anticipated release of the High Bandwidth Memory (HBM) standard – HBM4. Evolving from the HBM3 standard, HBM4 aims to further accelerate data processing while maintaining higher bandwidth, energy efficiency, and greater capacity per chip or stack, to meet the demands of efficient processing of large datasets and complex computations. The HBM4 standard introduces several key technological advancements, suitable for applications in generative AI, high-performance computing, high-end graphics cards, and servers. Firstly, HBM4 significantly increases bandwidth...