Company executives are featured speakers at multiple presentations, roundtables and discussions during leading industry event
BrainChip Holdings Ltd, a leading provider of ultra-low power, high-performance artificial intelligence technology and the world’s first commercial producer of neuromorphic AI chips and IP, announced its participation in the Edge AI Summit, a virtual event November 15-18. Company executives will host a roundtable discussion, present to session attendees and participate on a panel about how neuromorphic computing addresses the challenges at the edge.
“Intelligent AI at the Edge: Efficient, Effective and Easy”
The Edge AI Summit aids enterprise adopters, OEMs, AI software and hardware providers in their pursuit of deploying AI at the edge by helping them form partnerships that will improve the performance of embedded hardware, optimize models and compress workloads to enable high-performing and low-footprint AI to exist at the edge. BrainChip session highlights include:
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- Anil Mankar, Chief Development Officer and Co-Founder of BrainChip, hosting the roundtable “BrainChip MetaTF Development Environment: Easy-to-Use Complete ML Framework” November 15 at 11:45 a.m. PST
- Rob Telson, Vice President of Worldwide Sales at BrainChip, presenting “Intelligent AI at the Edge: Efficient, Effective and Easy” November 17 at 8:45 a.m. PST
- Mankar returning for a panel discussing overcoming architectural challenges November 17 at noon PST
“With the acceleration of AI at the edge, what better place to demonstrate the capabilities of our Akida advanced neuromorphic architecture than at the Edge AI Summit,” said Mankar. “We are at the stage where evangelizing our approach to this emerging market opportunity is being replaced by our introduction of a production version of the Akida chip. I know Rob and I are eager to present and discuss the possibilities of AI at the edge as well as how Akida will revolutionize the industry in a way that existing technologies are not capable of.”
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BrainChip’s Akida brings artificial intelligence to the edge in a way that existing technologies are not capable. With the introduction of one-shot learning and achieving ultra-low power, the solution is high-performance, small, and enables a wide array of edge capabilities. The Akida (NSoC) and intellectual property on chip learning, can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation. These applications include but are not limited to home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection, sound detection, odor and taste detection, gesture control and cybersecurity.
The 4th annual Edge AI Summit unites the technologists from around the world tasked with designing and developing real-world use cases that bring real-time and secure AI to low-power applications from the sensor-edge to device-edge, and to areas that have limited connectivity to the cloud.
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