BIOENGINEER

PSMA PET Radiomics Machine Learning Models Predict Prostate Cancer Genomic Alterations

A pilot study of 14 metastatic prostate cancer patients indicates that machine learning models combining PSMA PET radiomics ...

Self-learning AI separates particle jets from background noise in simulated heavy-ion collisions

A team of physicists and computer scientists led by researchers at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory developed a new artificial intelligence (AI) approach that ...

Why did machine learning and deep learning start being used? Data volume and model expressive power

Recently, I explained why machine learning exists and it was well-received, so I decided to write about it on note as well.In ...

Backtesting and AI Machine Learning. The common ground of considering the future from past data.

Backtesting is frequently used in the world of stock investment and FX.On the other hand, in the world of AI, the term ...

Machine learning reveals how often fish schooling evolved—and repeatedly disappeared

Scientists have used new machine learning techniques to investigate a topic no one has ever found a way to study: the ...
quantumzeitgeist

Four quantum machine learning models assessed for detecting IoT intrusions

This research assesses four demonstration quantum machine learning models—QSVC, QNN, and VQC—for IoT intrusion detection ...
Nature

This AI ‘mechanic’ can peer inside the black box of other neural networks

Some AI models behave like mechanics — fixing issues in other models that they neither designed nor fully understand. Credit: Mint Images/Getty. Researchers have used an artific ...
Interesting Engineering on MSN

Old maps, new roads: Sandia tests a way to keep models current as conditions change

Sandia National Laboratories researchers are testing a way to keep machine-learning models current as ...

Machine learning researchers build a better world model

Machine learning researchers have developed a technique that allows world models to make better predictions about how objects ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

CheMeleon model adapts to predict molecular properties from scant data

Discovering new molecules for specific uses is a major driver of progress in a wide variety of industries, whether it's ...