Nature-inspired computers are shockingly good at math

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...
MIT Technology ReviewOpinion

Why AI predictions are so hard

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, ...

NITK uses machine learning to predict landslides in Western Ghats

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
C&EN

Illuminating the Interface of Blocc Chemistry and Data Science: An Introduction to K-Nearest Neighbor Analysis and K-Medoids Clustering

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The discovery of functional small molecules, chemical matter ...
Frontiers

Salp swarm-optimized machine learning models for predicting preoperative aortic rupture risk in acute type a aortic dissection patients

Acute Type A aortic dissection (ATAAD) is characterized by acute onset and rapid progression, with aortic rupture due to dissection extension being the primary lethal mechanism. Timely identification ...
Assembly Mag

Traditional Machine Learning for Practical Machine Vision: It’s Been There All Along

Powerful and practical machine learning tools for machine vision applications are already available to everyone, even if you’re not a data scientist. It might come as a bit of a surprise, but machine ...
Frontiers

Machine-learning algorithm to predict home delivery after antenatal care visit among reproductive age women in East Africa

Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...