EE Times Current · 28 Jun 2019 · 24m
EE Times editors report on CEA Letty's conference on edge AI, highlighting the European focus on local processing for data privacy and the debut of a Type 1 diabetes autonomous medical device. They also cover PCI-SIG's rapid development of Gen 6 PCI Express, noting the challenges of copper interconnects and board redesigns. Additionally, the episode discusses the hyper-fragmented sensor market at Sensors Expo and Colin Barnden's argument that Level 2+ driver assist systems are more viable for mass-market cars than fully autonomous vehicles.
Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.
Engineering & simulationCEA Letty (research institute)
Researchers developed hardware architectures, including in-memory computing and spiking neural networks, to enable efficient edge AI processing for medical devices.
“So, so actually, that's quite important because they're talking really about, uh, yeah, the non-volatile memory, uh, uh, in memory computing, spiking neural networks, uh, you know, the, the, the process of technology, the FDSOI.”
Speaker 4 · Hear it at 6:13
Engineering & simulationThe Loop (startup)30 people using it
The company engineered an autonomous medical device that uses machine learning on a dedicated smartphone OS to make local insulin dosage decisions for Type 1 diabetes patients.
“Important thing is that this device does look like smartphone, but the entire processing power is used for the uh, uh, personalization of machine learning, at the edge, right? They're not going to run games or other applications of this.”
Speaker 5 · Hear it at 11:18
early-stage companies and companies scaling up
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