Developing personalized vaccines for cancer via machine learning

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
GitHub

Prometheus Time Series Anomaly Detection with LSTM Autoencoder

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
Reuters

Tesla introduces new Model Y variant in US priced at $41,990

Feb 2 (Reuters) - Electric-vehicle maker Tesla (TSLA.O), opens new tab has introduced a new all-wheel drive variant of its bestselling Model Y SUV in the United States, priced at $41,990, according to ...
IEEE

Fuel Efficiency Prediction Using Machine Learning, A TensorFlow-Based Approach to Enhancing Automotive Sustainability

Abstract: Fuel efficiency prediction model with TensorFlow, analyzing key vehicle parameters to better inform sustainable auto design and consumer decisionmaking. This model uses the dataset of auto ...