As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

This is a preview. Log in through your library . Abstract In recent years, in the field of education, there has been a clear progressive trend toward precision education. As a rapidly evolving AI ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

The Defense Logistics Agency has published a white paper by David Bella pushing for machine learning to modernize logistics ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk of cardiovascular disease rises. Mammographic features such as breast ...

A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...

Discover how the global Machine Learning as a Service (MLaaS) market, valued at USD 4.12 billion in 2022, is projected to ...

In recent years, machine learning (ML) has emerged as one of the most significant trends in technology, reshaping industries and ...

AI artificial intelligence concept Central Computer Processors CPU concept, 3d rendering, Circuit board, Technology background, Motherboard digital chip, Tech science background, machine learning ...

Elixir today announced significant progress in its patent application for Elixir Catalyst, a groundbreaking AI and machine learning-powered solution that transforms how organizations migrate from ...