EdTech

Augmented Reality in Education

Medical schools are also looking into how augmented and virtual reality can play a part in training future doctors and surgeons with better simulations. The University of Nebraska Medical Center has ...
IEEE

Non-Uniform-Sampling-Enhanced LSTM-FCN Hybrid Network for Inverse Design of Optically Transparent Ultra-Wideband AFSR

Abstract: A new modeling framework integrating Ramer-Douglas-Peucker (RDP) non-uniform sampling (NUS) with a Long Short-Term Memory (LSTM)-Fully Connected Network (FCN) hybrid neural network (LFN) is ...
blockchain

AI Reasoning Advances: Best-of-N Sampling, Tree Search, Self-Verification, and Process Supervision Transform Large Language Models

According to God of Prompt, leading AI research is rapidly evolving with new techniques that enhance large language models' reasoning capabilities. Best-of-N sampling allows models to generate ...
IEEE

Antinoise Bearing Fault Diagnosis Using Time-Reassigned Multisynchrosqueezing Transform and Complex Sparse Learning Dictionary

Abstract: Bearings are core components of rotating machinery, and their operating status monitoring and fault diagnosis are crucial for equipment health management. Accurately identifying fault ...
GitHub

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging

This repository Blaze3DM is the official implementation of the paper [Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging]. The paper has ...
GitHub

A tiny LM that does inference at compile time

This project pushes the boundaries of C++ template metaprogramming by implementing a Language Model that performs inference entirely at compile-time. Instead of calculating text during runtime, the ...