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This paper presents a Mass-Conserving Perceptron (MCP) framework that reformulates conceptual hydrologic models into physically constrained, interpretable neural networks, evaluated across 513 CAMELS-US basins for snow-water representation.
This article demonstrates building a perceptron and NAND gates inside the game Age of Empires II, arguing that changing the substrate of an LLM alters perception of attributes and critiquing research on LLM anthropomorphism.
A perceptron is the simplest neural network building block. This tutorial implements one from scratch in Python, explaining weights, bias, and learning through a clear example.
Perceptron Inc. has released Perceptron Mk1, a frontier AI model designed for video and embodied reasoning tasks.