InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
The Hill

Military academies eye Classical Learning Test for admissions as skeptics voice concerns

The U.S. military academies are reportedly looking at accepting scores from the Classic Learning Test (CLT), an alternative to the SAT and ACT that has been propped up in conservative circles, ...
EurekAlert!

Apply now: International workshop on photonic computing and machine learning invites researchers to Sicily

From Thursday, 30 October to Tuesday, 4 November 2025, the PhoenixD Cluster of Excellence at Leibniz University Hannover and Heidelberg University will jointly host the 1 st workshop on Photonic ...
IEEE

Optimizing Classification of Suspicious Financial Transactions Using Machine Learning: a Comparative Study of Random Forest, Xgboost, and Svm

Abstract: This study explores the application of machine learning models to detect suspicious financial transactions in the banking sector. Using a dataset of 12,571 transactions obtained from PT Bank ...
news.ucsc

WiFi signals can measure heart rate—no wearables needed

Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate. Heart rate is one of the most basic and important ...
GitHub

connectspawan/feature-extraction-and-machine-learning

This project applies feature extraction and machine learning to classify breast cancer (benign vs. malignant) using the Kaggle Breast Cancer Dataset. The goal is to achieve >90% accuracy, and the ...
GitHub

How to Fine-Tune DINOv3 on Custom Dataset with Self-Supervised Learning Locally

Hi team, I'm new to DINO and want to fine-tune DINOv3 using self-supervised learning on my custom dataset. Hardware: 8 NVIDIA 4090 GPU. Goal: Continue training from pre-trained checkpoints. Use the ...
Scientific Research Publishing

Comparative Study of Machine Learning Models for Load Prediction and Energy Management ()

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Electrical and Communication Engineering Department, United Arab Emirates University, Al ...
TechCrunch

YouTube rolls out age-estimation tech to identify US teens and apply additional protections

YouTube on Tuesday announced it’s beginning to roll out age-estimation technology in the U.S. to identify teen users in order to provide a more age-appropriate experience. The company says it will use ...
Frontiers

Develop and validate a machine learning model to predict the risk of persistent pain after percutaneous transforaminal endoscopic discectomy

1 Department of Orthopedics, Wuhan Hospital of Traditional Chinese Medicine, Wuhan, Hubei, China 2 Department of Pain, Hubei Maternal and Child Health Hospital Affiliated to Tongji Medical College, ...
IEEE

Machine Learning for Breast Cancer Detection: Svm-Based Predictive Modeling

Abstract: Cancer is a heterogeneous disease that can spread to any body part. Breast cancer is one of the most dangerous cancers among women, contributing significantly to mortality worldwide. This ...
Edutopia

Using AI Tools to Support Project-Based Learning

With the rise of artificial intelligence (AI) in education, more secondary school teachers are looking for creative and practical ways to integrate AI into student learning. Many educators have a ...