English
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.
|
E-mail This Article | 
|
|
Printer-Friendly Page |
Related News
- 4DS Unveils New Interface Switching ReRAM Technology for Faster and Energy Efficient Memory for AI Processing
- MagSil and Western Digital Settle Patent Infringement Lawsuit
- Toshiba Develops World's Highest-Bandwidth, Highest Density Non-Volatile RAM
- MagSil, a Developer of MRAM, Adds Dr. Stefan K. Lai, Intel - Retired VP of Flash Memory Group, to its Board of Directors
- Crocus Technology, a company focusing on Magnetic Random Access Memories (MRAM), Raises $17 Million in a Series A Round of Financing
Breaking News
- JEDEC® and Industry Leaders Collaborate to Release JESD270-4 HBM4 Standard: Advancing Bandwidth, Efficiency, and Capacity for AI and HPC
- BrainChip Gives the Edge to Search and Rescue Operations
- ASML targeted in latest round of US tariffs
- Andes Technology Celebrates 20 Years with New Logo and Headquarters Expansion
- Creonic Unveils Bold Rebrand to Drive Innovation in Communication Technologies
Most Popular
- Cadence to Acquire Arm Artisan Foundation IP Business
- AMD Achieves First TSMC N2 Product Silicon Milestone
- Why Do Hyperscalers Design Their Own CPUs?
- Siemens to accelerate customer time to market with advanced silicon IP through new Alphawave Semi partnership
- New TSN-MACsec IP core for secure data transmission in 5G/6G communication networks