BIOENGINEER

Machine Learning Model Predicts Antimicrobial Peptide Synergy With High Test Accuracy

Supervised machine learning algorithms successfully predicted synergistic combinations between antimicrobial peptides and ...
BIOENGINEER

Children referred as victims and alleged offenders for forensic psychiatric evaluation: distinct psychiatric profiles and machine-learning–based classification of post ...

A retrospective study of 420 children in the Turkish forensic psychiatric system revealed distinct clinical profiles between ...
Geeky Gadgets

Al Learning Algorithms Explained – Beginners Guide

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

What Materials Do AI Grow From? ─ From Machine Learning to LLMs, the Era of "Learning Materials"

IntroductionAround 2020, the most frequently heard term in the world of AI was "machine learning."Neural networks.CNNs.Transformers.Supervised learning.Unsupervised learning.Reinforcement learning.At ...
Scientific Research Publishing

Multi-Temporal Sentinel-1 Synthetic Aperture Radar and Machine Learning for Flood Susceptibility Assessment of Urban Roads in Nairobi City County, Kenya ()

Urban flooding increasingly disrupts transport systems in rapidly urbanizing cities, yet road-oriented flood-susceptibility assessments that integrate recurrent flood observations with geographically ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...