AI for molecular simulations may not need built-in physics to deliver strong results

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
Northwestern's McCormick School of Engineering

Adaptive Algorithm Aims to Reduce Kidney Discards and Improve Transplant Access

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...
eWeek

8 Best AI Certifications to Boost Your Career in 2026

Explore the top AI certifications to boost your career and validate your AI skills. Find the best programs in machine ...
TechAnnouncer

Navigating the Future: A Deep Dive into Quantum Programming Languages

Qiskit and Q# are major quantum programming languages from IBM and Microsoft, respectively, used for creating and testing quantum circuits. Libraries like PyQuil and PennyLane are important for ...
IEEE

The Impact of Image Spatial Resolution and Machine Learning Algorithm on Urban Vegetation Classification: Focus on Data Loss and Misclassification

Abstract: Urban vegetation classification is challenging due to the heterogeneous nature of urban environments. Accurate mapping of urban vegetation, which plays a crucial role in regulating ...
IEEE

A random forest-based machine learning algorithm for predicting onion whole sale price

Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...
Journal of Medical Internet Research

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...