Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...
In a study published in Nature (September 3), Lulu Qian , professor of bioengineering, and her student Kevin Cherry (PhD '24) ...
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Neural network predicts volcanic eruptions
In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the ...
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 ...
Gear-obsessed editors choose every product we review. We may earn commission if you buy from a link. Why Trust Us? Here’s what you’ll learn when you read this story: Researchers claim a new chip ...
Abstract: Graph Neural Networks (GNNs) have gained attention for their ability in capturing node interactions to generate node representations. However, their performances are frequently restricted in ...
Abstract: In the field of time series prediction, runoff prediction is a critical subfield. Accurate runoff forecasting is essential for optimizing water resource allocation and mitigating flood risks ...
This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
Researchers unveil OneFlip, a Rowhammer-based attack that flips a single bit in neural network weights to stealthily backdoor AI systems without degrading performance. Autonomous vehicles and many ...
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