AI chips could get faster with 30-nanometer embedded memory that cuts data shuttling

When we watch videos or ask AI questions, enormous amounts of data are constantly moving inside computers. In particular, ...
EDN

Advancing AI performance with HBM4, SPHBM4 DRAM solutions

HBM has become one of the most successful and widely adopted examples of chiplet-based integration in AI systems.
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
IEEE

Imprinted Antiferroelectric With Low Damage Process for High Performance Negative Capacitance NAND Flash Memory

Abstract: The concept of negative capacitance (NC), originating from the intrinsic energy configuration of HZO ferroelectrics, has been predominantly utilized in logic transistors to achieve a steeper ...
Yahoo Finance

Aerospike NoSQL Database 8 Delivers Durable and Low-Latency Memory Store for LangGraph Agentic AI Workflows

MOUNTAIN VIEW, Calif., March 25, 2026 (GLOBE NEWSWIRE)-- Aerospike Inc. today unveiled LangGraph integration for the award-winning NoSQL Database 8, delivering persistent memory to stateless AI ...
InfoQ

Java 26 Delivers Language Innovation, Library Improvements, Performance and Security

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...