Recently, the United Nations released a report proposing that the organization take more proactive measures in the monitoring and regulation of Artificial Intelligence (AI). The report emphasizes that as AI technology develops and is applied more widely, its potential impacts and risks are becoming increasingly evident. Therefore, the UN believes that greater attention needs to be paid to the governance of AI, viewing it as an urgent global issue akin to climate change. Image source note: The image was generated by AI and is provided by the image licensing service provider Midjourney in recent years.

In August, DingTalk Organization Brain launched a series of new features, including agile organization diagnosis, meeting cost analysis, and process efficiency monitoring, aimed at helping business managers gain a comprehensive understanding and optimization of organizational structure and operational efficiency.

The U.S. Department of Commerce report supports open-weight generative AI models, such as Meta's Llama3.1, believing this will help small companies, researchers, non-profits, and individual developers access AI resources, fostering innovation and competition. This view aligns with that of Federal Trade Commission Chair Lina Khan, who emphasized that open models can promote more small businesses in the creative market. Assistant Secretary Alan Davidson stated that the openness of large AI systems significantly impacts competition, innovation, and risks, and called for monitoring of large AI models broadly.

Recently, a study published in the journal "Cell Metabolism" revealed that researchers, using thermal imaging cameras and artificial intelligence technology, can detect various chronic diseases and assess an individual's physiological age by analyzing facial temperature. This innovative method offers new possibilities for early disease diagnosis and health monitoring.- The temperature of different areas on the face is associated with various chronic diseases, such as diabetes and hypertension.-

Apple Inc. has recently released public betas of iOS 18, iPadOS 18, macOS Sequoia, watchOS 11, and tvOS 18. Let's explore the new changes brought by this update!The update of iOS 18 introduces some highly anticipated features, including support for RCS messaging, making communication with friends more convenient. Moreover, new customization options allow users to place applications on the home screen as they wish, finally achieving the freedom to "put wherever you want". Additionally, the Photos

With the continuous advancement of artificial intelligence technology, an innovative app called CatsMe! is revolutionizing the way we understand and care for pet cats. Developed by researchers from Carelogy and a Japanese university, this app uses AI to analyze subtle facial expressions of cats to detect signs of pain with an astonishing accuracy of over 95%.Cats naturally tend to hide their pain, an instinctive behavior they've evolved to avoid attracting predators. The Drake Veterinary Care Ce

Companies are using artificial intelligence to monitor employee online chats. AI software scans platforms like Slack and Microsoft Teams, raising concerns among employees about AI interfering with work communications. While some employees accept the monitoring practices, others worry about privacy violations.

The FIA will use computer vision AI technology to monitor track limit violations at the Abu Dhabi Grand Prix. This technology analyzes images to determine whether drivers have completely crossed the white line, constituting a violation. This can relieve pressure on FIA staff and improve response times. The additional AI layer may reduce the potential number of infractions that require human review. The FIA states that this represents a future direction for automated real-time regulation.

Minglue Technology has open-sourced the C interface for TensorBoard to monitor the pre-training process of large models and improve training efficiency. By visualizing model parameters and results, the training state can be analyzed, enhancing both the training progress and outcomes of large models. This tool presents training metrics through a multi-dimensional data model, including scalars, histograms, images, and audio.