Embedded systems demand high performance with minimal power consumption, and the optimisation of scratchpad memory (SPM) plays a critical role in meeting these stringent requirements. SPM, a small ...

PETACH TIKVA, Israel--(BUSINESS WIRE)--RAAAM Memory Technologies, a start-up company that invented a groundbreaking solution to implement on-chip memory, announced today that it has completed a Seed ...

Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing ...

A new technical paper titled “Design of Energy-Efficient Cross-coupled Differential Photonic-SRAM (pSRAM) Bitcell for High-Speed On-Chip Photonic Memory and Compute Systems” was published by ...

The global rush by chipmakers to produce AI chips is tightening supply of less glamorous chips used in smartphones, computers and servers, spurring panic buying by some customers and a surge in their ...

Edge AI—enabling autonomous vehicles, medical sensors, and industrial monitors to learn from real-world data as it arrives—can now adopt learning models on the fly while keeping energy consumption and ...

Smart meters are critical to modern energy infrastructure, enabling dynamic pricing, real-time analytics, and carbon accountability. Their effectiveness depends entirely on consistent data accuracy.

Facepalm: After consuming virtually the entire GPU market, generative AI and large language models are now putting pressure on DRAM and other mainstream memory products. Consumers are likely to feel ...