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
Originally developed to generate stills, a new Firefly Video Model has been announced. It can add audio or video frames from an existing video clip and generate new video and 3D animation clips at 1080p resolution and up to five seconds in length using reference images or text prompts of up to 1,000 words Adobe say […]
The current leadership team became concerned that the management philosophy of Kōnosuke Matsushita, who died in 1989, is being eroded and used AI to solve the problem They have created a digital replica of the great man to find solutions to management problems by imitating what he may have thought or felt about a given […]