Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...
Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...
A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...
A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...
A new technical paper titled “Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks” was published by researchers at Université Grenoble Alpes, CEA, ...
By combining AI algorithms with microcontroller based edge processing, the system claims to deliver real time and accurate ...
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AI goes orbital as 6G research turns satellites into edge computing nodes
The International Telecommunication Union (ITU) has identified future 6G use cases such as “integrated artificial ...
Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...
Sam Mugel, Ph.D., is the CTO of Multiverse Computing, a global leader in developing value-driven quantum solutions for businesses. Large language models like ChatGPT have revolutionized content ...
(a) Structure of the proposed neural network, which uses three-valued gradients during backpropagation (training) rather than real numbers, thus minimizing computational complexity. (b) A novel ...
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