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
There’s no escaping it, generative AI is getting right under everybody’s skin at the moment. Its widespread use in advertising is leading some brands to issue demands and warnings hither and thither in a bid to contain it and stop it, as they see it, from threatening their businesses. Following on from discussions and advice […]
Some of machine learning’s main issues are around time and cost and the amount of training material required to train models that are useful and produce accurate, pleasing results. Why is it so difficult? AI tools are ‘learning’ not to be caught out by people asking them nonsensical questions and have started to give as […]