SaiSatish

New research illustrates neuromorphic technology is up to sixteen times more energy-efficient for large deep learning networks than other AI systems. Read More

Researchers have developed an algorithmic planner that helps delegate tasks to humans and robots. The planner, ‘Act, Delegate or Learn’ (ADL), considers a list of tasks and decides how best to assign them. The researchers asked three questions: When should…

Researchers have developed a trajectory-planning system for autonomous vehicles that enables them to travel from a starting point to a target location safely, even when there are many different uncertainties in the environment, such as unknown variations in the shapes,…

Researchers have developed soft robots that are capable of navigating complex environments, such as mazes, without input from humans or computer software. Read More

Digital pathology is an emerging field which deals with mainly microscopy images that are derived from patient biopsies. Because of the high resolution, most of these whole slide images (WSI) have a large size, typically exceeding a gigabyte (Gb). Therefore,…

Researchers have reported a nano-sized neuromorphic memory device that emulates neurons and synapses simultaneously in a unit cell, another step toward completing the goal of neuromorphic computing designed to rigorously mimic the human brain with semiconductor devices. Read More