Researchers Explore Emerging Memories for AI
By Gary Hilson, EETimes
December 28, 2018
TORONTO — Resistive random access memory (ReRAM) and other emerging memory technologies have been getting a lot of attention in the past year as semiconductor companies look for ways to more efficiently deal with the requirements of artificial intelligence and neuromorphic computing.
At the International Electron Devices Meeting (IEDM) in San Francisco earlier this month, there were several papers presented that dealt with using emerging memory in neomorphic computing from companies the likes of IBM and various universities.
To read the full article, click here
Related Semiconductor IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
- RISC-V Debug & Trace IP
Related News
- 4DS Unveils New Interface Switching ReRAM Technology for Faster and Energy Efficient Memory for AI Processing
- Qualcomm to Acquire Arduino—Accelerating Developers’ Access to its Leading Edge Computing and AI
- Arm Accelerates the Edge AI Revolution with Easy, Low-Cost Access to Armv9 Platforms through Arm Flexible Access
- PGC Strengthens Cloud and AI ASIC Acceleration with Synopsys’ Next-Generation Interface and Memory IP on Advanced Nodes
Latest News
- Nuclei Announces Strategic Global Expansion to Accelerate RISC-V Adoption in 2026
- Semidynamics Unveils 3nm AI Inference Silicon and Full-Stack Systems
- Andes Technology Launches RISC-V Now! — A Global Conference Series Focused on Commercial, Production-Scale RISC-V
- Rambus Reports Fourth Quarter and Fiscal Year 2025 Financial Results
- IntoPIX And Cobalt Digital Enable Scalable, Low-Latency IPMX Video With JPEG XS TDC At ISE 2026