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Thinking Machines Lab, the startup founded by former OpenAI CTO Mira Murati, has added two heavyweight advisors from her former employer: former OpenAI Chief Scientist Bob McGrew and former OpenAI researcher Alec Radford. Their contributions bring significant expertise and energy to the company, which is focused on developing AI that meets individual needs.

Against the backdrop of rising labor costs, the UK retail industry is rapidly moving towards an era of automation. From electronic shelf labels to self-checkout machines, many new technologies are gradually transforming the familiar supermarket shopping experience. With the national minimum wage increase and higher employer national insurance contributions, retailers are significantly increasing their investments in automation technology, hoping to address the rising labor costs by improving production efficiency. Recent holiday trading updates show that investment in automation has become a focal point for major retailers. A survey indicates that nearly one-third of retail financial leaders...

Colin Angle, co-founder of the renowned Roomba vacuum maker iRobot, is raising funds for his new home robotics startup Familiar Machines. According to documents filed with the SEC, Familiar Machines is aiming to raise $30 million and has already secured $15 million from eight investors. Image source note: The image is AI-generated and licensed from service provider Midjo.

At the 2024 Bund Conference, Tesla senior instructor Xu Lei shared his insights on the future of autonomous vehicles. Xu believes that once cars achieve full autonomy, they will transition from traditional transportation tools to profit-generating instruments, metaphorically referred to as 'money-printing machines.'

MedSAM-2, based on the Segment Anything Model 2 (SAM2) framework, brings revolutionary changes to the field of medical image segmentation. Its core breakthrough treats 2D and 3D images as video sequences, enabling efficient segmentation of three-dimensional images. The 'one-click segmentation' feature allows users to specify a target in a single image, and the model can automatically recognize and accurately segment the same type of object in subsequent images without the need for continuous input. As a general model, it can handle any image.

AI technology is deeply integrated into the content market, redefining the supply side and consumer experience. In the face of the technological wave, experts urge a humanistic approach and rational consideration of human-machine interaction. Large language models like ChatGPT bring new challenges, such as issues of fake news and content bias. The content market needs to cautiously approach AI applications, seeking a balance that enhances consumer experience. In the future, human-machine collaboration will become the dominant trend in the content market, necessitating humanistic literacy and adaptive development.

Microsoft has launched the new ND H100v5 virtual machine series, equipped with 8 NVIDIA H100 chips. The virtual machines feature AI supercomputing GPUs, next-generation CPUs, and low-latency networking. When using the new 8-bit FP8 floating-point data type for matrix multiplication operations, the speed has increased sixfold. ND H100v5 VM helps large language models achieve up to two times the inference speed improvement.

From July to August 2023, the sales of AI-enabled tutoring machines surged by 128% compared to the same period last year. Female users accounted for 55% of AI tutoring machine purchases, while males accounted for 45%. The penetration and growth of AI tutoring machines in major cities like Zhejiang, Guangdong, and Jiangsu, as well as coastal areas, outpaced regions like Sichuan, Beijing, and Hubei. AI tutoring machines have driven breakthroughs and iterations in electronic education products, enhancing learning efficiency and effectiveness. Mothers are more attentive to 'AI new technologies' and are more willing to try them, making AI tutoring machines a new need in family education.

A portable ultrasound machine developed by Mohammed bin Zayed University of Artificial Intelligence can help save millions of infant lives in developing countries. The combination of artificial intelligence technology and predictive diagnostics can quickly identify potentially treatable congenital heart defects in unborn babies. The findings of this research are expected to be promoted in health resource-limited developing countries, improving the early detection and treatment levels of infant heart disease.