First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing

Documenti analoghi

• GRAMC: General-purpose and reconfigurable analog matrix computing architecture
  di: Pan, Lunshuai, et al.
  Pubblicazione: (2025)
• RRAM-Based Analog Matrix Computing for Massive MIMO Signal Processing: A Review
  di: Zuo, Pushen, et al.
  Pubblicazione: (2025)
• BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems
  di: Pan, Lunshuai, et al.
  Pubblicazione: (2024)
• Preprocessing Methods for Memristive Reservoir Computing for Image Recognition
  di: Daniels, Rishona, et al.
  Pubblicazione: (2025)
• Trilinear Compute-in-Memory Architecture for Energy-Efficient Transformer Acceleration
  di: Mia, Md Zesun Ahmed, et al.
  Pubblicazione: (2026)