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Confidentiality, to a lesser extent, and integrity, to the greatest extent, are the most important considerations with AI ...
Data centers continue to heat up as new processors consume more energy than ever before. Cooling is the primary weapon ...
Practical applications, implementation strategies, and the platform technologies enabling scalable, intelligent edge AI ...
This paper demonstrates how AI and data-driven methods can help make telecom networks smarter, more efficient, and ready for ...
The importance of early architecture exploration to avoid costly design revisions and ensure optimal power-performance ...
One is that general-purpose processing elements cannot keep up with the workload demands or latency requirements. The second is that they need to be extremely efficient due to limited electricity from ...
Accelerate product design and delivery by empowering next-level digital engineering with secure, reliable high performance compute infrastructure.
Shrinking interconnects expose limitations in traditional inspection methods, forcing new approaches to overlay, surface ...
A tutorial on DRAM architecture, specifically looking at design tradeoffs and subsequent impact to the overall system ...
Versatile In-NAND Self-Encryption with Zero Area Overhead” was published by researchers at DGIST, Georgia Tech, POSTECH, ...
Data centers are undergoing a dramatic transformation to reduce the power consumption of high-speed data transmissions by 70% ...
A Case for Long-Term and Short-Term RAM” was published by researchers at Stanford University and Microsoft, and an ...
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