Memory for Edge Computing
THURSDAY, JUNE 29, 2023
Emerging memory technologies for edge computing
Tomorrow’s IoT devices will require efficient, low-power near- or in-sensor memory and computing capabilities. Designed for semiconductor R&D and product marketing professionals as well as academic researchers, this conference will cover embedded memory technology platforms and circuits, plus applications developed specifically for Edge artificial intelligence.
Welcome coffee, Exhibition & Networking
Welcome Coffee, Exhibition & Networking
09:30 a.m. - 11:30 a.m. | Morning Session
Memory for Edge Computing AM
Johannes Müller
SMTS Global Technology & Development, GlobalFoundries
Auto-Grade Embedded STT-MRAM: Enabling NVM for high reliability, harsh environment applications... more info
Stefan Müller
CTO, Ferroelectric Memory Corp. (FMC)
Emerging Ferroelectric Memory Technology... more info
Hitoshi Saito
Sr. Dir. of Sales & Marketing Div. / Dir. of Energing Memory Dept., Fujitsu Semiconductor Memory Solution Limited
Prospects and applications of FeRAM in the near future... more info
Lunch, Exhibition & Networking
- Latest Demos: Discover more than 50 live demos and network with potential partners.
- Startups Corner: Don’t miss out on the startup corner to learn about the latest tech offers.
- Business Meetings: Book meetings with experts to discuss your innovation project.
- Forum Area: Listen 15 minute sales-oriented pitches. Discover the latest developments offered by CEA-Leti startups and local SMEs specializing in microelectronics.
02:30 p.m. - 04:30 p.m. | Afternoon Session
Memory for Edge Computing PM
Giuseppe Desoli
AI R&D Director & Company Fellow, STMicroelectronics
A digital SRAM In-Memory Computing Multi-Tiled Neural Processing Unit in 18nm FD-SOI with 40-310TOPS/W and its use-cases for ultra-low power inference applications... more info
Masanori Tsukamoto
Senior Manager, Sony Semiconductor Solutions
Low Power Non-volatile Memory Technology for Edge AI Application... more info
Manuel Le Gallo
Staff Research Scientist, IBM
Deep neural network inference with a 64-core in-memory compute chip based on phase-change memory... more info
Emmanuel Hardy
Research Engineer, CEA-Leti
Ultra-low Power Edge AI: Bridging the Gap between Sensors and Neural Networks... more info
Coffee break, Exhibition & Networking