Futuristic AI ‘grape ripeness detector’ could overhaul wine industry

The new portable handheld sensor provides instant and accurate data about whether grapes are ready to harvest, scientists in ...

AI could be coming for your wine as experts turn to technology for industry overhaul

A new AI-powered grape ripeness detector called RipenAI aims to help winemakers harvest at the perfect time using optical ...
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Understanding the types of machine learning and their power in AI

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

Machine learning tracks methane emissions from orbit

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
EurekAlert!

Intelligent monitoring pipe detects and predicts 3D soil settlement

An intelligent monitoring pipe combines optical sensing with machine learning algorithms to monitor and predict 3D soil ...
IEEE

A Reinforcement Learning Algorithm for Safety Decision Making in Autonomous Driving Systems with Reward Machine Guidance

Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...
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First-ever black hole image sharpened using machine learning

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...
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, ...