DigMethpy: An AI-driven platform for accelerating methane pyrolysis catalyst discovery

Researchers have developed a new artificial intelligence-powered platform that could significantly speed up the discovery of ...
Interesting Engineering

Scientists show predictable training can outperform complex robot learning data

Robots learn dexterous tasks more effectively from consistent demonstrations than complex ones, new study finds.
IEEE

A Comprehensive Survey on the Usage of Machine Learning to Detect False Data Injection Attacks in Smart Grids

Abstract: This article provides a comprehensive survey on the application of machine learning techniques for detecting False Data Injection Attacks (FDIA) in smart grids. It introduces a novel ...
Northwestern's McCormick School of Engineering

Cultivating Data-Driven Approaches with Plant Science

Launched this winter, the Data-Driven Plant Science course bridges experimental biology with embedded sensing, bioinformatics, and machine learning.

LLMs believe false statements even after explicit warnings that they’re false

New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They ...
GitHub

Python Machine Learning book code repository

IMPORTANT NOTE (09/21/2017): This GitHub repository contains the code examples of the 1st Edition of Python Machine Learning book. If you are looking for the code examples of the 2nd Edition, please ...
GitHub

PySR: High-Performance Symbolic Regression in Python and Julia

PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective. Over a period of several ...