IEEE

Fast Reinforcement Learning for Resource Optimization in Dynamic Vehicular Communications

Abstract: In recent years, vehicular communications have attached great interests in both academy and industry for its potential of promoting safety and autonomous driving. Unlike classical ...
Geeky Gadgets

DeepSWE AI Coding Model Benchmark Finally Solves AI Training Data Contamination

DeepSWE, created by DataCurve offers a benchmark for assessing AI coding models by focusing on real-world programming challenges rather than synthetic test cases. According to Matthew Berman, one of ...
Developer Tech

NVIDIA CUDA 13.3 bridges the Python and C++ divide for AI teams

NVIDIA’s CUDA 13.3 targets the divisions between Python and C++ engineers inside enterprise software teams building AI applications. Python teams often build fast prototypes, while C++ engineers spend ...
IEEE

Dynamic and Fast Convergence for Federated Learning via Optimized Hyperparameters

Abstract: Federated Learning (FL) is a privacy-preserving computing paradigm that enables participants to collaboratively train a global model without exchanging their raw personal data. Due to ...