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AI uncovers dinosaur tracks that look eerily like birds from a time when birds shouldn’t have existed

A new artificial intelligence system is drawing renewed attention to one of paleontology’s oldest controversies. At the ...
C&EN

Google’s AlphaGenome predicts the function of a DNA sequence

Google’s artificial intelligence research laboratory where AlphaFold was developed—has officially released a new machine ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Healio

COPD detected early with AI-powered electrocardiogram interpretation

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
The New York Times

‘The Smashing Machine’ Review: Licking Wounds, In and Out of the Ring

Dwayne Johnson shines, but the movie around him tells the wrong story. By Alissa Wilkinson When you purchase a ticket for an independently reviewed film through our site, we earn an affiliate ...
Scientific Research Publishing

Doshi-Velez, F. and Kim, B. (2017) Towards a Rigorous Science of Interpretable Machine Learning. arXiv: 1702.08608.

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
IEEE

Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach

Abstract: Several domains increasingly rely on machine learning in their applications. The resulting heavy dependence on data has led to the emergence of various laws and regulations around data ...