When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.
Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
Abstract: Effectively estimating the uncertainty attached to neural network predictions thus becomes essential to improve robustness, reliability, and trustworthiness. This paper provides an overview ...
An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in ...
A high-severity security flaw has been disclosed in OpenClaw (formerly referred to as Clawdbot and Moltbot) that could allow remote code execution (RCE) through a crafted malicious link. The issue, ...
Python implementation of the Blasius similarity solution for a laminar flat-plate boundary layer. Uses the shooting method and Brent’s root-finding to compute the wall curvature, velocity profiles,… ...
Google on Wednesday announced that it worked together with other partners to disrupt IPIDEA, which it described as one of the largest residential proxy networks in the world. To that end, the company ...
Posts from this author will be added to your daily email digest and your homepage feed. I am not, by any definition, a coder, but when I started seeing people’s vibe-coded smart home projects all over ...
Code respository for "Automatic Grid Updates for Komolgorov Arnold Networks using Layer Histograms."
AdaptKAN provides implementations of Kolmogorov-Arnold Networks (KANs) with support for out-of-distribution detection, available in JAX.
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