Abstract: To enable accurate and resource-efficient hardware implementation of fractional-order neural networks for neuromorphic computing, an optimized hardware architecture for field programmable ...
This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
Throughout the 2025 high school football season, USA Today Network organizations, including The Enquirer, will partner with the NFHS Network to broadcast live events featuring the area's top teams and ...
Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
Generalize Hopfield-like neural networks using a deformed maximum entropy principle. Exhibit explosive transitions, multi-stability, and memory capacity enhancements. Are analytically tractable via ...
The geological structure of buried hill reservoirs is highly complex. This study aims to develop a new reservoir fluid identification method for buried hill reservoirs by integrating nuclear magnetic ...
A neuroanatomical minimal network model was revisited to elucidate the mechanism of salt concentration memory-dependent chemotaxis observed in Caenorhabditis elegans. C. elegans memorizes the salt ...
The China-linked advanced persistent threat (APT) actor known as Salt Typhoon has continued its attacks targeting networks across the world, including organizations in the telecommunications, ...
Abstract: Conventional wireless communication receivers guided by Bayesian inference methods need to know the exact statistical relationship among variables, which is hard to obtain accurately in ...
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