Through the design and development of specialized chips, research, educational outreach, and industry partnerships, Intel® is accelerating the progress of artificial intelligence (AI) to solve difficult challenges in medicine, manufacturing, agriculture, scientific research, robotics, and other industry sectors. Intel® works closely with policymakers, educational institutions, and enterprises of all kinds to uncover and advance solutions that address major challenges in the sciences.
“SenseNet is a sensorimotor and touch simulator for teaching artificial intelligence (AI) devices how to interact with their environments. Using sensorimotor systems and touch neurons, SenseNet provides a research framework that supports machine- learning researchers and theoretical computational neuroscientists.
“The majority of artificial intelligence research, as it relates to biological senses, has been focused on vision. The recent explosion of machine learning—in particular, deep learning—can be partially attributed to the release of high-quality data sets for algorithms from which to model the world. Thus, most of these datasets are comprised of images. We believe that focusing on sensorimotor systems and tactile feedback will create algorithms that better mimic human intelligence.”
– Jason Toy, Somatic founder and AI researcher
While many advances have been made in the realm of computer vision, this is just one aspect of understanding the environment. A richer understanding of the environment can lead to more advanced systems with enhanced capabilities. To advance further, the industry can benefit from tools and technologies to enable tactile sensing and haptic behavior for robots.”
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Categories: Application Lifecyle