In “a significant step forward in the pursuit of general-purpose algorithms” that “are able to deal with the messiness and complexity of the real world”, Google DeepMind‘s new reinforcement learning algorithm, MuZero, which like its predecessor AlphaGo uses lookahead search, can achieve superhuman levels of prowess at Go, chess and video games without any prior knowledge of the rules. Details were published in the scientific journal Nature just before Christmas.
Source: The Independent
Employing techniques used by astronomers to “measure the shapes of galaxies”, a team of researchers at the University of Hull led by Masters student Adejumoke Owolabi has found that deepfaked humans don’t have the same consistency in reflections across both eyes, allowing them to tell if a portrait of a human was AI-generated or not. […]
In the USA and operating as the Chamber of Progress, a group of tech firms that includes Amazon, Apple and Meta is launching campaign it calls ‘Generate and Create’. Its purpose is to defend the legality of using copyrighted works to train artificial intelligence systems, highlight “how artists use generative AI to enhance their creative […]