Made from servo motors and tree branches, these robots were trained to successfully walk across the floor. Read the paper. (The project was undertaken by Preferred Networks of Japan, which also made this cool website called Paintschainer that colors black and white images using AI.)
Unlike supervised machine learning, which trains models based on known-correct answers, in reinforcement learning, researchers train the model by having an agent interact with an environment. When the agent’s actions produce desired results, it gets positive feedback. For example, the agent gets a reward for scoring a point or winning a game. Put simply, researchers reinforce the agent’s good behaviors.
Now that the initial furor and shortages have subsided, it’s probably not a bad time to start considering your long-term cleaning and disinfecting plans. Sure, that might seem anywhere from overly cautious to outright ridiculous, but the threat of COVID-19 appears poised to be present for a while and the need for quick travel clean-up […]
With more and more companies moving all their operations into the cloud, the need has never been greater for those with the skills to map exactly how an organization reconstitutes itself in that new environment. Network architects responsible for determining all the communication, storage, and infrastructure needs of an expansive organization are among the most […]
Even after months of working from home, you’d be forgiven for thinking the whole experience still doesn’t quite feel…well, normal. In addition to all the obvious environmental changes of handling your 9 to 5 from your den or dining room table, the technological aids you didn’t realize you loved back at the office probably don’t […]