Linear Model Machine Learning

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

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 ...

Independent Newspaper Nigeria on MSN

AI vs machine learning: What actually separates them in 2026?

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

Morning Overview on MSN

New AI model aims to improve seasonal drought forecasts

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

The Lancet

When to and when not to use machine learning in risk prediction models

IEEE

Neural Linear Oscillator Networks and their Application to Soft Robots Model Learning and Control

Abstract: Recent advances in machine learning have begun to embed oscillatory network principles within neural architectures, aiming to enhance computational efficiency and robustness in time-series ...

Security

AI and Machine Learning in Security: Building Smarter, Integrated Systems for a Safer Future

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This evolution unites physical and cyber domains, improves situational awareness, and ...

The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

marktechpost

Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...

InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

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