New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...
IEEE

Machine-Learning-Based Algorithm for Significant Wave Height Retrieval From Microwave Radiometer During Tropical Cyclones

This study develops a machine-learning-based approach to retrieve significant wave height (SWH) from soil moisture active passive (SMAP) radiometer data under tropical cyclone (TC) conditions, ...
IEEE

Empowering Educators with AI: A System for Designing Integrated STEM Projects Using Machine Learning and Large Language Models

Abstract: Integrated STEM projects and experiments promote interdisciplinary learning, enhance critical thinking, and prepare students for real-world problem-solving by bridging science, technology, ...
GitHub

VaishnaviKudale0107/Future-Location-Prediction

A comprehensive machine learning web application for predicting future locations based on temporal movement patterns. Built with Streamlit, this system provides an interactive interface for data ...
Reuters

Oil companies jostle for projects to boost Venezuelan output quickly; a real grind awaits

Chevron in prime position for early gains in Venezuela Challenges include repairing infrastructure, securing diluents Legal risks and regulatory uncertainty remain for oil companies CABIMAS, Venezuela ...