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
09:30 a.m. - 11:30 a.m. | Morning Session
Co-chairs
Elisa Vianello
Edge IA Program Manager, CEA-Leti
François Andrieu
Head of Memory & Computing Laboratory, CEA-Leti
Johannes Müller
SMTS Global Technology & Development, GlobalFoundries
Auto-Grade Embedded STT-MRAM: Enabling NVM for high reliability, harsh environment applications... more info
Justine Barbot
Ph.D. Student, CEA-Leti
Get some Fresh Ideas: My Ph.D. in 180 sec.
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
Panel session
Which memory technology for next generation edge computing?
Ilan Sever, Weebit Nano; Johannes Müller, Globalfoundries; Hitoshi Saito, Fujitsu semiconductor; Masanori Tsukamoto, Sony Semiconductor Solutions; Andrea Redaelli, STMicroelectronics (from left to right)
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
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
Théophile Dubreuil
Ph.D. Student, CEA-Leti
Get some Fresh Ideas: My Ph.D. in 180 sec.
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
