Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...

Nvidia said the new transformer model has five times the compute behind it compared to the original transformer model ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

SYDNEY, Jan. 3, 2026 /PRNewswire/ -- Samsung Electronics has begun unveiling hero products that will join its 2026 line-up, ahead of CES 2026 – the world's largest IT and consumer electronics show ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

At the heart of the friction is a simple contrast. The ledger must be immutable, reconcilable to the last decimal, and ...

Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...