In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

You can use ChatGPT to write essays and for a myriad of other tasks, but did you know, you can create graphs, charts, and diagrams as well in ChatGPT? Yes, with the ...

Abstract: We introduce an interpretable and scalable graph-based system designed to predict biases in instructional achievement across diverse educational data. Aimed at large-scale learning platforms ...

With the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as ...

The Uncertainty-Aware Fourier Ptychography (UA-FP) framework marks a transformative milestone in computational imaging, revolutionizing the way we address system uncertainties. This innovative ...

Open Molecules 2025, an unprecedented dataset of molecular simulations, has been released to the scientific community, paving the way for the development of machine learning tools that can accurately ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

Manipulation of an AI model’s graph can be used to implant codeless, persistent backdoors in ML models, AI security firm HiddenLayer reports. Dubbed ShadowLogic, the technique relies on manipulating a ...

Traffic forecasting is a fundamental aspect of smart city management, essential for improving transportation planning and resource allocation. With the rapid advancement of deep learning, complex ...

we are duplicating processing steps multiple times such as processing images extracting faces etc. we are unable to take full advantage of GPUs because looping and switching to numpy breaks pytorch ...