In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

When learning to master machine learning (ML) the process requires more than just a technical grasp of algorithms and data. It’s a subject that combines complex mathematical concepts, coding ...

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...

The machine learning algorithm was "taught" using the patient’s sex, age, ECG findings and medical history, in addition to troponin levels, to identify the probability that a heart attack had ...

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

In a groundbreaking study published on January 18, 2024, in Cancer Discovery, scientists at University of California San Diego School of Medicine leveraged a machine learning algorithm to tackle ...