This study introduces a novel method to optimize Post-Training Quantization (PTQ), a widely used technique for reducing model size, by integrating Vector Quantization (VQ) with incremental clustering.

The following is a summary of “A predictive model based on the gut microbiota improves the diagnostic effect in patients with ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods ...

Abstract: Building vector maps play an essential role in many remote sensing (RS ... In EGDiT, we replace the standard self-attention (SA) operation with an edge-biased attention (EBA) to inject edge ...

AI-driven models for predicting concrete compressive strength show promise, with machine learning techniques improving accuracy in SCM formulations.

Citizen Sleeper 2 understands that you don't get to choose how your body grows. You can decide on some things if you're one ...

OpenAI's custom silicon design will resemble that of Google's TPU, expected to be taped out in the coming months.

Insights from manufacturers that have already transformed their operations with AI indicate a preference for moving AI inference to the edge using vector stores and ...

The AI Hackathon 2025 is set to take place in Dhaka, bringing together university students from diverse backgrounds to tackle ...

Lisa Haubenstock of Truckstop discusses the common tactics of scammers in the freight industry and what types of training and ...

Laura Boulton, a former Boise teacher, advocates for safer schools, emphasizing accountability and training for staff on reporting misconduct.