Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...
If we consider an AI in the form of an LLM as a mathematical object, it represents a weakly structured set of coefficients.
By exploiting the quirks of human vision, Professors Michael Rubenstein, Emma Alexander, and Sam Kriegman designed a drone ...
New research suggests that the bias in AI hiring systems has reversed direction completely in the last three years: among 14 ...
Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...
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