SiMa.ai: Using a Machine-Learning SDK to Boost Performance/Watt in Edge-AI Systems

Presented by Kavitha Prasad, VP of Systems Solutions, SiMa.ai.

This presentation will describe how to use a machine-learning SDK to deliver leading-edge performance on networks such as ResNet-50, VGG, and Inception_v2. We’ll show how running these benchmarks on an emulator platform can achieve high correlation with the simulation environment. Finally, this talk will describe SiMa.ai’s MLSoC edge-AI processor, which delivers 50 TOPS at just 5 Watts, and how it can handle a multitude of frameworks across applications like surveillance and robotics with the highest level of accuracy.

The Linley Fall Processor Conference featured technical presentations addressing processors and IP cores for AI applications, embedded, data center, automotive, and communications. Session topic included AI in Edge Devices, Vector-Processing Cores, Advancing Cloud AI, The New Infrastructure Edge, Heterogenous Computing, SoC Design, In-Memory Compute, and Security.

Proceedings from the event are available for download. https://www.linleygroup.com/events/proc_register.php?num=49

Тэги:

#SiMa.ai #Kavitha_Prasad #machine_learning #MLSoC #edge-ai_processor #Linley_Group #Deep_Learning #Artificial_Intelligence #AI #Processors #Edge #IoT #DL #chips #cores #semiconductor #IP_cores

Скачать видео