The demand for AI robots is driven by the need for automation and efficient data management across various industries. In manufacturing, AI robots are used to automate complex assembly lines, reducing labor costs and increasing productivity.
In the ever-evolving field of robotics, a groundbreaking approach has emerged, revolutionizing how robots perceive, navigate, and interact with their environments. This new frontier, known as brain-inspired navigation technology, integrates insights from neuroscience into robotics, offering enhanced capabilities and efficiency.
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
Non-living hydrogels can play the video game Pong and improve their gameplay with more experience, researchers report. The researchers hooked hydrogels up to a virtual game environment and then applied a feedback loop between the hydrogel's paddle -- encoded by the distribution of charged particles within the hydrogel -- and the ball's position -- encoded by electrical stimulation. With practice, the hydrogel's accuracy improved by up to 10%, resulting in longer rallies. The researchers say that this demonstrates the ability of non-living materials to use 'memory' to update their understanding of the environment, though more research is needed before it could be said that hydrogels can 'learn.'
In an innovative leap forward for workplace safety, a research team at Seoul National University has developed the Bilateral Back Extensor Exosuit (BBEX), a robotic back-support device designed to prevent spinal injuries and assist workers in heavy lifting tasks.