Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Global deep learning market prediction points to a 35.48% CAGR for 2026-2031, driven by AI adoption across industries, rising generative AI investments including in advanced analytics, and increasing ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.