Clean GitHub repo tricks AI coding agents into running malware

An agentic coding tool tasked with cloning and setting up a seemingly benign GitHub repository could execute a malicious ...
Frontiers

A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
cmu.edu

Machine Learning & Data Science

Machine Learning now shapes how decisions are made, systems are built, and how work gets done. Building real understanding means learning the fundamentals from the faculty at the School of Computer ...
GitHub

ECG-Byte: A Tokenizer for End-to-End Generative

This repository is the official implementation of ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling by William Jongwon Han, Choajing Duan, Michael A. Rosenberg, ...
sei.cmu

Generative AI and Software Engineering Education

Ozkaya, I., and Schmidt, D., 2024: Generative AI and Software Engineering Education. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...
Time Out

The best data science and Python classes for high school students

Thanks for subscribing! Look out for your first newsletter in your inbox soon! The best things in life are free. Sign up for our email to enjoy your city without spending a thing (as well as some ...
C&EN

Ab Initio Crystal Structure Prediction of the Energetic Materials LLM-105, RDX, and HMX

Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States Department of Physics, Carnegie Mellon University, Pittsburgh, Pennsylvania ...
PNAS

Learning to estimate sample-specific transcriptional networks for 7,000 tumors

Network estimation is essential for understanding the structure and function of biological systems, but current statistical approaches fail to capture intersubject heterogeneity or cross-modality ...
PNAS

High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering

Automatic detection of macromolecular complexes is an open and challenging problem in cellular cryoelectron tomography. Existing computational methods rely on known structural templates or manually ...