Optimizing camera networks using neural fields - a deep learning approach to determine ideal camera positions for maximum coverage and tracking effectiveness.

Exploring Phi-4, one of the newest large language models - examining its architecture, capabilities, and how it pushes the boundaries of AI with 14 billion parameters.

Breaking down multi-object tracking with a novel time-symmetric approach, balancing both past and future information to improve accuracy in computer vision systems.

Dive into the mathematics of decision-making under uncertainty, exploring how Thompson Sampling helps balance exploration and exploitation in online learning with binary outcomes.

Exploring efficient solutions for robotic arm movement planning using dual-layer optimization - where mathematics meets practical robotics applications.

Deep dive into graph neural networks and attention mechanisms, exploring a breakthrough approach that enhances how AI systems understand and learn from interconnected data structures.

xAI's Colossus_ A Million-GPU Supercomputer

The Return of Pseudoscience in AI