Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

The Carnegie foundation has reclassified JMU for its sustained and "deep commitment to working alongside local and regional ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

STARKVILLE, Miss.—Mississippi State is being nationally recognized for its commitment to integrating community engagement ...

Google won’t rank what it can’t confidently identify. See how business names and primary categories determine local search ...

While adaptation under uncertainty was the theme for 2025, the year ahead is shaping up to emphasize strategic resilience, ...

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...