SharesForBrekky
Regular
Not sure if already posted/discussed but an interesting article here about the U.S. Army Engineer Research and Development Center's very keen interest in exploring the wonderful world of neuromorphic computing:
"The driving force behind ITL’s research into this emerging technology is the U.S. military’s need to know more, sooner, to allow rapid, decisive action on the multi-domain battlefield. The battlespace has become characterized by highly distributed processing, heterogeneous and mobile assets with limited battery life, communications- dominated but restricted network capacity and operating with time-critical needs in a rapidly changing hostile environment. Distributed and low power edge processing is one of the essential technologies for maintaining overmatch in various emerging operational and contested environments, as is the need to take advantage of machine learning (ML) and generative artificial intelligence (AI)."
"Overall, edge computing is helping to enable new use cases and provide better experiences to the users by making applications faster, more reliable and more secure,” said Cheng. “Neuromorphic chips are well-suited for edge computing, which is becoming increasingly important in military and defense applications, and ITL is already aiding in this process that will touch everything from lowering the cost of deployments by eliminating the need for expensive, high-powered servers and data centers to support of mobile and autonomous systems. This is the future."
"The driving force behind ITL’s research into this emerging technology is the U.S. military’s need to know more, sooner, to allow rapid, decisive action on the multi-domain battlefield. The battlespace has become characterized by highly distributed processing, heterogeneous and mobile assets with limited battery life, communications- dominated but restricted network capacity and operating with time-critical needs in a rapidly changing hostile environment. Distributed and low power edge processing is one of the essential technologies for maintaining overmatch in various emerging operational and contested environments, as is the need to take advantage of machine learning (ML) and generative artificial intelligence (AI)."
"Overall, edge computing is helping to enable new use cases and provide better experiences to the users by making applications faster, more reliable and more secure,” said Cheng. “Neuromorphic chips are well-suited for edge computing, which is becoming increasingly important in military and defense applications, and ITL is already aiding in this process that will touch everything from lowering the cost of deployments by eliminating the need for expensive, high-powered servers and data centers to support of mobile and autonomous systems. This is the future."