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If not posted....McKinsey Eelectronics liking what we're doing highlighting the recent Microchip boards. Nice that one of their preferred partners is Valeo.
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McKinsey Electronics
1,555 followers
1w
BrainChip recently unveiled its Akida neuromorphic processor on Microchip's embedded platform, using SAMv71 Ultra and SAMA7G54-EK boards. These neuromorphic computing systems aim to perform parallel and distributed processing, imitating the structure and functionality of the human brain. It functions on an event-based principle, staying inactive until triggered, leading to decreased power consumption. This board highlights Akida's efficiency with a 32-bit microprocessor unit and a TSMC 28nm technology, focusing on always-on machine learning tasks like keyword spotting and visual wake words. This SoC implements 80 NPUs, offering on-chip learning and a complete machine-learning framework. The second-generation Akida platform supports the intelligence chip market, integrating AI accelerators for IoT and high-performance RF applications. It boasts event-based computing, scalability, and customizable AI neural processing capabilities. BrainChip's software development ecosystem supports seamless neural network creation, training and testing. #BrainChip #Akida #McKinseyElectronics

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McKinsey Electronics on LinkedIn: #brainchip #akida #mckinseyelectronics
BrainChip recently unveiled its Akida neuromorphic processor on Microchip's embedded platform, using SAMv71 Ultra and SAMA7G54-EK boards. These neuromorphic…
McKinsey Electronics
1,555 followers
1w
BrainChip recently unveiled its Akida neuromorphic processor on Microchip's embedded platform, using SAMv71 Ultra and SAMA7G54-EK boards. These neuromorphic computing systems aim to perform parallel and distributed processing, imitating the structure and functionality of the human brain. It functions on an event-based principle, staying inactive until triggered, leading to decreased power consumption. This board highlights Akida's efficiency with a 32-bit microprocessor unit and a TSMC 28nm technology, focusing on always-on machine learning tasks like keyword spotting and visual wake words. This SoC implements 80 NPUs, offering on-chip learning and a complete machine-learning framework. The second-generation Akida platform supports the intelligence chip market, integrating AI accelerators for IoT and high-performance RF applications. It boasts event-based computing, scalability, and customizable AI neural processing capabilities. BrainChip's software development ecosystem supports seamless neural network creation, training and testing. #BrainChip #Akida #McKinseyElectronics