Researchers Use Machine Learning to Accurately Model Street Lighting Systems

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple regression models in the prediction of lighting parameters and energy demand of ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
Neurology Advisor

Machine Learning Differentiates AD and Behavioral Variant Frontotemporal Dementia

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Plush neuron makes AI approachable, simplifies neural networks for middle schoolers

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

Study finds AI models store memories and logic in different neural regions

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Wastewater Digest

Innovative approaches to sludge management: The role of AI, machine learning, and emerging technologies

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...