Millan and Niranjan’s algorithm detected autotypers that industry tools routinely miss. We’re proud to integrate their ...
Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...
4dOpinion
The greatest risk of AI in higher education isn't cheating—it's the erosion of learning itself
Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students ...
Remco Evenepoel continues his scorching 2026 season start with Red Bull–BORA–Hansgrohe, while U.S. riders, though fewer in number, are stronger and making bigger impacts than ever at the WorldTour ...
usethis is a command-line interface to automate the configuration of popular Python tools, workflows, and frameworks. You can use it to declaratively add, remove, and configure tools in an existing ...
This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
The Ohio Department of Transportation and Honda completed a two-year pilot project showing how real-time connected vehicle data can identify roadway hazards such as potholes, faded lane markings, ...
Abstract: We present Cryptbara, a precise approach for detecting Python cryptographic API misuses. Cryptographic APIs are widely used to ensure data security, but their improper use can inadvertently ...
Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...
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