MIT's New AI Tech Helps Robots Understand Objects
Imagine letting a robot clean your house while you are at work, or to clear your tables. That's exactly what the novel robot developed by researchers at the MIT can do.
Adding machine learning capabilities to any new product brings benefits such as time savings, downtime prevention and increased productivity. However, choosing the right solution for the task isn’t always easy: machine learning (ML) processing requirements vary significantly according to workload and there is no one-size-fits-all solution.
The MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), developed a novel system which lets robots inspect random objects, and visually understand them enough to accomplish specific tasks without ever having seen them before.
From CPUs, offering moderate performance with general purpose programmability to GPUs for faster performance with graphics-intensive applications, MCUs for cost- and power-constrained embedded IoT systems and the Arm ML processor for the highest performance and efficiency for intensive ML processing, the choice can be bewildering