AI develops easily understandable solutions for unusual experiments in quantum physics

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...
IEEE

Multi-Modal Self-Supervised Learning Algorithm-Based Product Recommendation

Abstract: With the rise of e-commerce, personalized recommendation algorithms have received much attention in recent years. Meanwhile, multimodal recommendation algorithms have become the next ...
GitHub

Week 5 - Project 3: Cahn-Ingold-Prelog Priority Algorithm

This project implements the Cahn-Ingold-Prelog (CIP) Priority Assignment Algorithm — the systematic method for assigning R/S stereochemical descriptors to chiral centers. It features a recursive graph ...
ecofinagency

Burkina Faso adds new floating cage fish project, targets 200-ton output

Burkina Faso launches floating cage fish farming project at Yakouta dam Dori site starts with 22 cages, targets 200 tons annually Government pushes aquaculture to cut fish imports and boost output ...
IEEE

Predictive Modeling of Air Quality: Performance Comparison of Supervised Machine Learning, Deep Learning, and Extreme Learning Machines

Abstract: This research study presents a comprehensive analysis comparing the performance of supervised machine learning, deep learning, Extreme Learning Machines (ELM), and Genetic Algorithm (GA) ...
GitHub

A comprehensive implementation of self-supervised reinforcement learning algorithms including contrastive learning, predictive models, and representation learning for RL tasks.

Self-supervised reinforcement learning is a technique where agents learn useful representations and skills from the environment through self-generated tasks, such as predicting next states or learning ...