Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude Children's Research Hospital scientists. Many diseases, including cancers, ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

This repository contains the mini project for the ECS7020P Principles of Machine Learning course at Queen Mary University of London. This project develops an automated song recognition system capable ...

Broadway giant Tommy Tune's East Side apartment, with a massive terrace, is back -- with a price cut. Tim Waltman/Evan Joseph Studios Broadway giant Tommy Tune has lowered the price of his Manhattan ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

Energy startup Commonwealth Fusion Systems (CFS) said Thursday it’s working with Google’s DeepMind division to fine tune — and even improve — the operation of its forthcoming Sparc reactor using AI.

A production-ready machine learning project demonstrating industry best practices for MLOps, including modular code organization, data version control (DVC), experiment tracking (MLflow), automated ...

Thinking Machines Lab, a heavily funded startup cofounded by prominent researchers from OpenAI, has revealed its first product—a tool called Tinker that automates the creation of custom frontier AI ...

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Abstract: With the widespread adoption of Healthcare Internet of Things devices, the need for effective intrusion and anomaly detection has become pivotal in ensuring network security. However, the ...