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The Future of ML in Edge Equipment - Circuit Cellar

Internet of Things (IoT) has fueled increased demand for devices with greater intelligence, specifically machine learning (ML), at the network edge. ....

Brian Santo , Tinyml Foundation , Writeratmouser Electronics , Machine Learning Eases Power Requirements , Machine Learning , Knowledge Distillation , Model Optimization , Tensorflow Lite Micro , Edge Impulse , Electronic News ,

Cadence accelerates on-device and Edge AI performance and efficiency with new Neo NPU IP and NeuroWeave SDK for silicon design – CIE

Cadence accelerates on-device and Edge AI performance and efficiency with new Neo NPU IP and NeuroWeave SDK for silicon design – CIE
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Tensilica Dsps , Neo Npus , Bob Odonnell , Cadence Design Systems , Android Neural Network Compiler , Technalysis Research , Software Development Kit , Design Systems , Neural Processing Units , Bobo Donnell , Tensorflow Lite , Tensorflow Lite Micro , Intelligent System ,

Cadence Accelerates On-Device and Edge AI Performance and Efficiency with New Neo NPU IP and NeuroWeave SDK for Silicon Design

Neo NPUs efficiently offload from any host processor and scale from 8 GOPS to 80 TOPS in a single core, extending to hundreds of TOPS for multicore AI IP delivers industry-leading AI performance and energy efficiency for optimal PPA and cost points Targets a broad range of on-device and edge applications, including intelligent sensors, IoT, audio/vision, hearables/wearables, mobile vision/voice AI,… ....

Yassir Rizwan , Neo Npus , Bob Odonnell , Tensilica Dsps , David Glasco , Cadence Design Systems Inc , Technalysis Research , Software Development Kit , Android Neural Network Compiler , Labforge Inc , Cadence Design Systems , Neural Processing Units , Bobo Donnell , Lite Delegates , Tensorflow Lite Micro , Cadence Tensilica , Intelligent System ,