May 25, 2023

  •  Limitations

    Probabilistic AI that knows how well it’s working

    MIT, 05/25/23. The development of SMC with probabilistic program proposals (SMCP3) by MIT and UC Berkeley researchers revolutionizes AI inference algorithms. By allowing more intelligent guessing strategies, SMCP3 improves accuracy and estimation of uncertainty in complex tasks. This advancement enables the use of well-understood, uncertainty-calibrated algorithms in critical problem settings. As AI becomes pervasive, trustworthy systems aware of their uncertainty are essential for reliability and safety. SMCP3 automates complex math and expands design possibilities, unlocking new AI algorithms. READ THE ARTICLE

  •  Photography

    AI-Generated Images: A Visual Revolution

    Blind Magazine, 05/25/23. The rise of generative artificial intelligence (AI) in visual arts has sparked debates and challenges. AI-generated images, like Macron on trash or Trump resisting arrest, flood the web. Artists experiment with AI for new aesthetics, while concerns arise over copyright and ethics. Fashion, advertising, and journalism also face AI’s impact. Regulations are needed to protect artists’ rights. As AI advances, boundaries blur, and risks of misinformation grow. Society must navigate these challenges while preserving art’s integrity and truth. READ THE ARTICLE

  •  Education

    How AI Will Revolutionize Human Learning – But Not The Way You Think

    Forbes, 05/25/23. AI-powered tools like large language models have sparked fears of human knowledge becoming obsolete. However, these tools have the potential to revolutionize education and workplace learning. Personalized learning, patient AI tutors, improved retention, upskilling for AI usage, and reduced content creation costs are among the breakthroughs that can enhance human knowledge and skills. It’s time to embrace AI as a valuable tool to upgrade our capabilities and improve learning outcomes. READ THE ARTICLE

  •  Regulation

    Washington watches as Big Tech pitches its own rules for AI

    Politico, 05/25/23. The tech industry is taking charge of AI regulation as Congress and the White House struggle to keep up. Microsoft and Google have presented their own plans, emphasizing responsible AI development. While concerns arise over industry dominance, representatives argue for diverse perspectives. Microsoft’s proposal includes adopting frameworks, ensuring safety measures, promoting transparency, supporting researchers, fostering partnerships, and enforcing laws with a licensing regime. The industry aims to guide the conversation, not control it. READ THE ARTICLE

  •  Enterprise

    The Impact Of AI On Company Culture And How To Prepare Now

    Forbes, 05/25/23. AI, or artificial intelligence, has the potential to revolutionize businesses across various industries. By integrating AI into operations, companies can increase productivity, streamline workflows, and empower employees to focus on more meaningful tasks. Additionally, AI can enhance collaboration, boost job satisfaction, and foster a culture of innovation. Embracing AI requires a supportive and adaptable company culture that values change, encourages learning, and builds trust among employees. The future of businesses lies in leveraging the power of AI to drive growth and success. READ THE ARTICLE

  •  Hardware

    AI Is Helping Create the Chips That Design AI Chips

    The Washington Post, 05/25/23. Artificial intelligence (AI) is revolutionizing chip manufacturing by driving demand for advanced semiconductors. Data analytics and machine learning have become crucial in the process, replacing human inspection. Techniques like inverse lithography, aided by AI, address challenges in photolithography. Nvidia’s GPUs and software enhance semiconductor lithography, achieving faster computations. AI chips are now creating AI chips, leading to further advancements in the field. READ THE ARTICLE

  •  Limitations

    AI is coming to a business near you. But let’s sort these problems first

    ZDNet, 05/25/23. The rise of enterprise-specific language models (LLMs) is evident, with 37% of companies considering their development. However, challenges lie in building and maintaining LLMs, requiring careful planning and resources. Concerns include security, truthfulness, and intellectual property. Adequate skilled professionals and computational resources are crucial. Government regulations are deemed necessary to address ethical and legal implications. Caution is advised as enterprises navigate the potential of LLMs and their impact on various use cases. READ THE ARTICLE