• New US AI hardware export bans to come into effect immediately

    Nvidia has been instructed by the US government to halt its sales of AI computer chips to China. The ban, which was expected in November, will take immediate effect. Nvidia, however, claims that it does not anticipate a significant impact on its financial results due to the strong global demand for its products. The new…

  • Report suggests AI is central to the rise of fake child sexual abuse images

    The Internet Watch Foundation (IWF) has warned of the alarming rate at which AI is being used to create child sexual abuse images, posing a significant threat to internet safety. The UK-based watchdog has identified nearly 3,000 AI-generated images violating UK laws, including images of actual abuse victims and underage celebrities. The use of AI…

  • Tracking every pixel: motion estimation with OmniMotion

    The latest motion estimation method extracts long-term motion trajectories for each pixel, even in fast movements and complex scenes. OmniMotion explores this exciting technology and discusses the future of motion analysis.

  • Big Tech AI companies launch $10 million AI Safety Fund

    Anthropic, Google, Microsoft, and OpenAI have established the Frontier Model Forum, with goals to set AI safety standards, evaluate frontier models, and ensure responsible development. Chris Meserole, the former Director of the Artificial Intelligence and Emerging Technology Initiative at the Brookings Institution, has been appointed as the Executive Director. The Forum aims to advance AI…

  • Meet LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

    PLMs have transformed Natural Language Processing, but their computational and memory needs pose challenges. The authors propose LoftQ, a quantization framework for pre-trained models. They combine low-rank approximation and quantization to approximate high-precision weights. Results show LoftQ outperforms QLoRA in various tasks, with improved performance in Rouge-1 for XSum and CNN/DailyMail using 4-bit quantization. Further…

  • Make Your Own Playlist Art on YouTube Music with AI

    YouTube Music has introduced a new feature that enables users to create custom cover art for their playlists using AI. Users can select from different categories, such as animals and nature, and ask the AI to create artwork based on specific prompts. The feature is currently only available to users in the US, but YouTube…

  • Google DeepMind Proposes An Artificial Intelligence Framework for Social and Ethical AI Risk Assessment

    Generative AI systems are becoming more common and are being used in various fields. There is a growing need to assess the potential risks associated with their use, particularly in terms of public safety. Google DeepMind researchers have developed a framework to evaluate social and ethical hazards of AI systems. This framework considers the system’s…

  • Frontier Model Forum updates

    We are pleased to announce the appointment of the new Executive Director of the Frontier Model Forum, in collaboration with Anthropic, Google, and Microsoft. Additionally, we are launching a $10 million AI Safety Fund.

  • FCC to investigate AI’s impact on robocalls

    The Federal Communications Commission (FCC) plans to investigate the impact of AI on robocalls, which continue to be a problem for consumers. In 2022, there were over 120,000 complaints received by the FCC regarding automated robocalls. FCC Chairwoman Jessica Rosenworcel intends to propose an inquiry to examine how AI technology affects illegal and unwanted robocalls.…

  • Microsoft Researchers Introduce Table-GPT: Elevating Language Models to Excel in Two-Dimensional Table Understanding and Tasks

    Language models like GPT and LLaMa have shown impressive performance but struggle with tasks involving tables. To address this, researchers propose table-tuning, which involves training models like GPT-3.5 and ChatGPT with table-related tasks. These table-tuned models, called Table-GPT, outperform standard models in understanding and manipulating tabular data while retaining generalizability. This table-tuning paradigm improves language…