August 31, 2023

August 30, 2023

September 1, 2023

  • Training

    Major websites are blocking AI crawlers from accessing their content

    Axios, 08/31/23. Education is key to unlocking opportunities and shaping the future. It equips individuals with knowledge, skills, and values necessary for success in their personal and professional lives. Education not only empowers individuals but also benefits societies by promoting economic growth and social development. It plays a crucial role in reducing poverty, enhancing gender equality, and fostering global understanding. Therefore, investing in education is paramount to building a prosperous and inclusive world where everyone can reach their full potential. READ THE ARTICLE

  • Geopolitics

    US restricts exports of Nvidia AI chips to Middle East

    The Guardian, 08/31/23. The US has expanded export restrictions on Nvidia artificial intelligence chips, extending them to certain countries in the Middle East in addition to China. Nvidia’s A100 and H100 chips, used for machine learning tasks, are affected by the curbs. The sales of these chips are already banned in China and Russia. The move is part of the Biden administration’s efforts to limit Beijing’s access to the AI industry. Despite the restrictions, Nvidia reported higher-than-predicted revenue of $13.5bn in the latest quarter. Nvidia’s CEO, Jensen Huang, has warned about the potential damage to the US tech industry caused by these trade restrictions. READ THE ARTICLE

  • Robotics

    High-speed AI drone beats world-champion racers for the first time

    arsTechnica, 08/31/23. The University of Zürich and Intel have achieved a groundbreaking feat in the field of artificial intelligence (AI) by developing an autonomous drone system called Swift that can outperform human champions in first-person view (FPV) drone racing. Swift utilizes real-time data from an onboard camera and an integrated inertial measurement unit to navigate an obstacle course as quickly as possible. Through reinforcement learning, the AI model was trained to choose the best course of action. While the AI system showed limitations in adaptability, this achievement demonstrates AI’s potential in various areas such as forest monitoring, space exploration, and the film industry. READ THE ARTICLE

  • Content

    5 types of AI content moderation and how they work

    TechTarget, 08/31/23. Content moderation is a crucial practice in digital environments to filter out disinformation and inappropriate content. Traditionally, human moderators would review all content before publishing, but this manual process lacked transparency and real-time responses. To address this, organizations have adopted a combination of automated and human moderation. AI content moderation, using machine learning and natural language processing, can detect and eliminate rule-violating user-generated content. This technology continues to evolve, and organizations can adopt various methods, such as pre-moderation, post-moderation, reactive moderation, distributed moderation, or user-only moderation, to effectively scale AI content moderation. As generative AI models advance, AI content moderation becomes increasingly important and necessary for organizations to remain competitive. READ THE ARTICLE

  • Healthcare

    AI And The Economy: Healthcare Will Have Huge Productivity Gains

    Forbes, 08/31/23. Artificial intelligence (AI) has the potential to bring significant productivity gains to the healthcare industry. While robotic medical services may not be implemented immediately, the initial gains will come from automating clerical tasks that consume a significant amount of time for doctors and nurses. With healthcare services accounting for a substantial portion of the GDP, any productivity improvements will greatly benefit the economy. Furthermore, addressing healthcare staffing shortages and automating administrative tasks will enhance the efficiency of healthcare providers. AI can streamline tasks like patient visit summaries, reducing the time spent on paperwork and allowing more focus on patient care. The use of AI in medical diagnosis and treatment is more controversial, as it conflicts with healthcare professionals’ views and their decision-making process. However, AI can be used as a recommendation engine, providing suggestions based on patient data and past experiences, with the final decision still resting in the hands of trained healthcare professionals. Over time, recommendation engines could become more reliable and potentially expand access to care in rural areas or after hours. Overall, AI presents opportunities for significant efficiency gains in healthcare, improving productivity and patient outcomes. READ THE ARTICLE