Where code meets reality, embedded systems come at that intersection, demanding precision, efficiency, and careful planning.

Memory, as the paper describes, is the key capability that allows AI to transition from tools to agents. As language models ...

Silicon Storage Technology (SST), a subsidiary of Microchip Technology, and semiconductor foundry United Microelectronics ...

The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

The 2026 CES featured lots of digital storage and memory technologies including SSDs, NAS products, DRAM and HBM as well as ...

AAEON BOXER-8742AI is a fanless Edge AI embedded system powered by an NVIDIA Jetson T4000 that was unveiled along with the ...

The global market for DRAM Wafer was valued at USD 12360 Million in the year 2024 and is projected to reach a revised size of ...

A new class of compact compute module integrates heterogeneous processing with industrial-grade resilience, tackling ...

Wide range of congatec modules support for computationally powerful, energy-efficient embedded AI applications SAN ...

AMD also is updating its workstation-level Ryzen AI Max+ mobile processors with two new models: the 12-core Ryzen AI Max+ 392 and the eight-core Ryzen AI Max+ 388. They’re notable for a system-on-chip ...

Workload consolidation has massive benefits, but implementation concerns have held back OEMs. Pre-integrated hardware and ...