The weather and climate science AI revolution isn’t revolutionary

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...
Frontiers

FAIR² Data Articles in Food Science and Technology: From Lab to Supply Chain, Unlocking AI-Ready Data for Reuse and Impact

Scientific knowledge is fundamentally built on data; yet, for too long, research datasets have remained siloed, poorly documented, and inconsistently ...

Preparing future math teachers to teach data science

When Eric Weber, professor and chair of mathematics at Iowa State University, talks about data science with future math ...

At the Ambitious New A.I Museum, You Feel the Art, and It Feels You Right Back

A look inside Dataland in Los Angeles, dedicated entirely to A.I.-generated art. Refik Anadol, its founder, says it’s for ...

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 ...
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 ...