BrainChip

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Discover how BrainChip's event-based computing is transforming AI by delivering faster, more efficient processing for IoT, healthcare, and automotive applications. In a recent Wevolver article, BrainChip is featured for advancing this shift with Akida Pico - an ultra-low power co-processor designed for real-time edge AI. Running on less than a milliwatt, Akida Pico enables AI in devices like wearables and sensor hubs by processing data locally, improving latency, privacy, and energy efficiency. Read more about how BrainChip is helping shape the future of intelligent, energy-aware technology: https://bit.ly/3DBdFKY #EdgeAI #EventBasedAI #AIprocessing

#EmbeddedWorld2025 marked another exciting milestone for BrainChip. Over the course of the event, we had the opportunity to engage with developers, partners, and industry leaders from around the globe, all sharing a vision for more intelligent, efficient, and responsive edge AI. Our booth was filled with meaningful conversations, and we were proud to showcase live demonstrations of Akida’s capabilities—including real-time gesture recognition in collaboration with PROPHESEE. The highlight of the week was M Anthony Lewis’s presentation on “Fast Online Recognition of Gestures using Hardware-Efficient Spatiotemporal Convolutional Networks via Codesign.” His talk sparked strong interest in how Temporal Event-Based Neural Networks (TENNs) are enabling high-performance vision applications with ultra-low power demands. Thank you to everyone who stopped by Booth 5-213, joined us in sessions, or connected with our team. We look forward to continuing the conversations and pushing the boundaries of what’s possible at the edge. #EdgeAI #AI #AIInnovation

#EmbeddedWorld2025 has been a dynamic and energizing experience for the BrainChip team. From the moment the doors opened, our booth in Hall 5-213 has been buzzing with conversations - not only about the potential of neuromorphic AI and the breakthroughs enabled by our Akida technology, but also with our valued partners and guests both new and familiar who stopped by to connect and view our live demos. A highlight of the week was the presentation by our CTO, M Anthony Lewis, who delivered "Fast Online Recognition of Gestures using Hardware-Efficient Spatiotemporal Convolutional Networks via Codesign" on March 12 as part of the Embedded Vision track. His session explored how BrainChip’s Temporal Neural Networks (TENNs) are designed to optimize vision tasks such as object detection, eye tracking, and gesture recognition with hardware efficiency in mind. There’s still more to come as the event continues. If you're attending Embedded World, we invite you to stop by and meet the BrainChip team in Hall 5, Booth 213. #EdgeAI #Akida #Innovation

BrainChip is excited to be featured in the newly released 2025 State of Edge AI Technology Report, where we explore the future of LLMs on the Edge using state space models and its impact for lower latency, privacy and security for personal assistants and agents. This comprehensive report, developed in partnership with the EDGE AI FOUNDATION, examines how real-time AI, IoT, and autonomous systems are transforming industries, accelerating innovation, and reshaping how organizations approach intelligent systems at the edge. The report also offers insight into the key challenges and opportunities engineers face in deploying Edge AI today. See BrainChip's LLM demo running completely on the Edge at Embedded World, Hall 5, Booth 213 Get your copy here: ?https://lnkd.in/g49wfkep #EdgeAI #AI #IoT

BrainChip will be at #EmbeddedWorld2025 in Nuremberg, Germany, March 11-13, demonstrating event-based vision capabilities of its Akida processor technology at Hall 5, Booth 213. Using PROPHESEE’s EV4 development camera, in conjunction with Akida 2 FPGA platform enables low-latency, ultra-low power gesture recognition, processing only relevant motion data. This approach enhances applications in autonomous vehicles, industrial automation, IoT, security, and AR/VR. M Anthony Lewis, BrainChip’s CTO, will present “Fast Online Recognition of Gestures using Hardware-Efficient Spatiotemporal Convolutional Networks via Codesign” on March 12 at 1:45 p.m. as part of the Embedded Vision track. His session will explore how Temporal Neural Networks (TENNs) optimize vision tasks, including object detection, eye tracking, and gesture recognition. Visit BrainChip at Hall 5, Booth 5-213 to see Akida’s event-based vision and LLM processing demonstrations in action. ?https://bit.ly/4iD2WOH #AI #EdgeAI

Cybersecurity Ready: Discover how BrainChip’s Akida 1000, powered by neuromorphic AI, delivers real-time anomaly detection, ultra-low power consumption, and localized processing to protect critical industries.

On February 24, 2025, BrainChip's CEO Sean Hehir attended Onsor's Innovation for Humanity event in Oman, as Onsor announced the release of their NEXA AI-enabled smart glasses, powered by BrainChip's Akida. It was an exciting day for both companies! Together advancing technology for the AI wearable market.

BrainChip is Live at #EDGEAIFOUNDATION Austin 2025! ? Day 1 has begun, and BrainChip is on-site showcasing how Akida technology is transforming Edge AI. Under the theme "Connect, Innovate, Deploy," we’re demonstrating how real-time, ultra-low-power AI solutions are enabling smarter applications across healthcare, industry, infrastructure, and beyond. ? Come meet with us! https://bit.ly/4gLx4Gn ? #EdgeAI #AI #AIInnovation #Akida