A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...
Deep Learning with Yacine on MSN
AlexNet Deep Neural Network Architecture Explained
Deep dive into the AlexNet architecture, one of the pioneering convolutional neural networks in computer vision. #AlexNet #DeepLearning #CNN ...
“Energy efficiency of electronic digital processors is primarily limited by the energy consumption of electronic communication and interconnects. The industry is almost unanimously pushing towards ...
There’s always some debate around what style of architecture is best for certain computing applications, with some on the RISC side citing performance per watt and some on the CISC side citing ...
Data prefetching has emerged as a critical approach to mitigate the performance bottlenecks imposed by memory access latencies in modern computer architectures. By predicting the data likely to be ...
We always hear that future computers will use optical technology. But what will that look like for a general-purpose computer? German researchers explain it in a recent scientific paper. Although the ...
A brain-inspired computer chip that could supercharge artificial intelligence (AI) by working faster with much less power has been developed by researchers at IBM in San Jose, California. Their ...
While cloud computing offers scalability, flexibility and cost-efficiency, edge computing is becoming indispensable for ...
Strong cyber programs aren’t built on tech alone — they thrive when architecture, risk and culture work together.
Apple's Unified Memory Architecture first brought changes to the Mac with Apple Silicon M1 chips. There are clear architectural benefits for the hardware — and it is both good and bad for consumers.
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