Hidden seismicity patterns before large earthquakes uncovered

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Analytics Insight

How AI and Machine Learning Algorithms Work

Artificial intelligence and machine learning help computers learn from data, identify patterns, improve performance, and make decisions, transforming industries through technologies like neural ...
IEEE

3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions

Abstract: Data representation learning is one of the most important problems in machine learning. Unsupervised representation learning becomes meritorious as it has no necessity of label information ...
IEEE

Machine Learning Algorithms in Bipedal Robot Control

Abstract: Over the past decades, machine learning techniques, such as supervised learning, reinforcement learning, and unsupervised learning, have been increasingly used in the control engineering ...
PNAS

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

Dinosaur footprints are iconic fossils, but it is challenging to identify their makers. This is illustrated by a long-standing debate about whether some footprints from the Late Triassic-Early ...
Forbes

Unsupervised Learning: The Revolution Powering Financial Insights

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. As machine learning continues to reshape the financial services industry, most headlines are ...
Nature

Explainable AI reveals Clever Hans effects in unsupervised learning models

Unsupervised learning has become an essential building block of artifical intelligence systems. The representations it produces, for example, in foundation models, are critical to a wide variety of ...
Hindustan Times

Infosys' Narayana Murthy calls out artificial intelligence hype in India: ‘Silly, old programmes’

Infosys founder and India’s tech mogul Narayana Murthy on Tuesday warned against the rising artificial intelligence trend in India, calling most of it “silly old programmes”. Narayana Murthy also ...
LinkedIn

Supervised and Unsupervised Machine Learning: Concepts and Examples

Machine Learning (ML) is a core component of Artificial Intelligence (AI) that allows systems to learn and make decisions without being explicitly programmed. Machine learning is broadly categorized ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...