Researchers at the UC Berkeley and FuriosaAI published a technical paper titled “Characterizing High Bandwidth Flash for LLM ...
Researchers at Georgia Institute of Technology, Qatar Computing Research Institute, and Purdue University published a ...
Researchers at Infineon Technologies and Technical University of Munich published a technical paper titled “From Physical Devices to RTL Models: Abstraction and Validation in Hardware Engineering.” ...
As models evolve faster than silicon cycles, chip architects must balance flexible compute, data movement, and ...
The shift from software-defined to AI-defined vehicles raises questions about whether the hardware can keep up.
Larger packages, finer routing, and embedded functions are pushing advanced substrates toward application-specific designs.
Researchers at Purdue University and the UCLA published a technical paper titled “Experimental Evidence for the Impact of ...
Distributed NVM supports high-endurance telemetry logging, functional safety, and time-sensitive networking where resilience ...
On-device AI can deliver faster insights, greater autonomy, and less cloud traffic — but only with the right infrastructure.
The types of threats that must be mitigated and a process to verify that designs are secure in real-world deployment.
Verification data is not enough without verification context Most verification environments are good at producing outputs. They generate logs, waveforms, assertions, coverage metrics, pass/fail status ...
Moores Lab AI is betting that chip design AI will only work if it is built around deep semiconductor expertise, not generic ...
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