Todd Vierra’s Post

Chris Jones, Director of Product Management at BrainChip, recently presented “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” at the May 2024 Embedded Vision Summit. As AI services grow, edge devices need enhanced computational capabilities. BrainChip’s Temporal Event Neural Networks (TENNs) offer an efficient state-space network for handling multi-dimensional streaming data, improving object detection, action recognition, speech enhancement, and language models. TENNs streamline models, speed up training, and reduce memory needs, achieving up to 50x fewer parameters and 5,000x lower energy consumption compared to transformers. Preview the presentation here: https://lnkd.in/g8vNUtyd

BrainChip's Akida is at the forefront of revolutionizing #SpaceTech! With the capability to enable onboard processing of satellite data, Akida drives real-time decision-making and can minimize reliance on ground-based systems. This game-changing technology can lead the industry into a new era of efficiency and autonomy https://lnkd.in/d_83RF4A #EdgeAI #AI #nueromorphic

2024 STATE OF EDGE AI REPORT: Delve into the cutting-edge insights revealing the game-changing impact of Edge AI. With its ability to bring computation closer to data sources, Edge #AI offers unparalleled advantages, from reduced latency to heightened security. Witness the evolution of AI beyond the confines of centralized systems. Stay ahead of the curve with the latest intelligence on Edge AI adoption and its transformative potential. https://lnkd.in/dEzB2e5u via Wevolver

#EmbeddedWorld24 - It's ON! Come see BrainChip at the tinyML Pavilion Hall 2 Booth 2-338 - #EdgeAI #AI #Neuromorphic

BrainChip's cutting-edge #neuromorphic #AI technology offers boundless possibilities for integration into diverse product ecosystems, revolutionizing industries with its adaptable nature. Witness innovation unfold as we continue to shape the future of technology advancement. Explore: https://lnkd.in/g2ibtz8U #EdgeAI

BrainChip Boosts Space Heritage with Launch of Akida into Low Earth Orbit

BrainChip Begins Accepting Pre-Orders of the Akida Edge AI Box - “The Akida Edge AI Box is ideally suited to provide the low latency and high throughput processing with ultra-low power consumption - a necessity for the next generation of smart Edge devices,” said Sean Hehir, CEO of BrainChip. “We are excited to officially launch pre-orders of the Akida Edge AI Box and bring this groundbreaking technology to market to empower customers in developing and deploying intelligent, secure and customized devices and services for multi-sensor environments in real time.” https://lnkd.in/gFnDgGdz

BrainChip's January 2024 Newsletter is out - BrainChip went all in at CES in Las Vegas, delivering demos that showcased the power of Akida™ and its partner ecosystem. Learn more here: https://lnkd.in/grz4N58d #EdgeAI #AI #ML #Neuromorphic #ces2024

Brain-like hardware accelerator provides power-efficient AI inferencing by ignoring irrelevant data! In ipXchange’s next AI-focussed interview from CES 2024, Guy chats with Todd Vierra about BrainChip ’s Essential AI computation architecture. Where many ‘AI’ chips are simply a matrix multiplication engine – essentially just doing quick maths rather than truly intelligent thought – Brainchip’s solution attempts to replicate the way the human brain operates. By recognising important data – from a sensor, for example – and ignoring irrelevant data, Brainchip’s solution operates with much less memory and less computing power for higher efficiency than mathematical solutions that process the complete dataset. Todd then shows us an example application with a Time-of-Flight (ToF) sensor performing distance and depth measurements to recognise users in a way that is much harder to trick than a 2D AI imaging system. In this example, Brainchip’s solution takes the data from the sensor – i.e. Nolan and Guy’s faces – and classifies them after quickly training the model to recognise the subtle differences of their features. This is done with respect to their shoulders for even greater certainty of user identity. This type of setup might be used in industrial and in-cabin automotive applications for user verification, safety – such as for user-specific airbag deployment – and security. Brainchip’s solution works as a neuromorphic – i.e. brain-like – AI hardware accelerator in conjunction with a host processor. Brainchip also provides the software and IP solutions to put this architecture into fully integrated chipsets, but with development systems preloaded with standard demo use cases, design engineers can easily get started using this technology for low-power edge inferencing. Learn about Brainchip’s Akida AKD1000 SoC by heading to the ipXchange website, where you can apply to evaluate this technology for use in a commercial project: https://lnkd.in/eFRn2nnf Keep designing! #AI #ArtificialIntelligence #Neuromorphicprocessing #processor #AIoT #IoT #semiconductor #CES2024 #disruptivetechnology #disruptiveinnovation #automotive #industrial #electronics #electronicsengineering #neuralprocessingunit #NPU #CPU #neuralprocessing