Universitas Medan Area (UMA) terus menunjukkan komitmennya dalam memberdayakan masyarakat melalui kegiatan pengabdian berbasis inovasi dan teknologi.
Energy-Efficient AI for Autonomous Vehicles: Driving Sustainability
Posted on by Fachrur Rozi
Autonomous vehicles (AVs) rely heavily on artificial intelligence (AI) to perceive their environment, make decisions, and execute control actions in r
Machine Learning for Smart Grid Optimization: Efficiency and Sustainability
Posted on by Fachrur Rozi
Smart grids are modernized electrical grids that use digital communication and advanced technologies to monitor, control, and optimize the flow of ele
Energy-Aware AutoML: Balancing Accuracy and Sustainability
Posted on by Fachrur Rozi
Automated Machine Learning (AutoML) has transformed the way machine learning models are designed, making it easier to generate high-performing models
Knowledge Distillation for Resource Efficiency in Machine Learning
Posted on by Fachrur Rozi
Knowledge distillation is a model compression technique that involves transferring the knowledge learned by a large, complex model (the teacher) to a
Model Pruning for Performance and Efficiency in Machine Learning
Posted on by Fachrur Rozi
Model pruning is an essential technique in machine learning that focuses on reducing the size of neural networks by eliminating unnecessary weights, n
Federated Learning on Resource-Constrained Devices
Posted on by Fachrur Rozi
Federated Learning (FL) is an emerging paradigm in machine learning where multiple devices collaboratively train a shared model while keeping their da
Hardware Accelerators: Boosting Speed and Efficiency
Posted on by Fachrur Rozi
Machine learning models, especially deep learning architectures, require massive amounts of computation. Traditional CPUs, while flexible, are often i
Optimized Convolutional Neural Networks (CNNs): Balancing Accuracy
Posted on by Fachrur Rozi
Convolutional Neural Networks (CNNs) have become the foundation of modern computer vision, powering applications such as image classification, object
Low-Power Edge AI: Machine Learning on Resource-Constrained Devices
Posted on by Fachrur Rozi
Artificial intelligence (AI) has traditionally relied on powerful servers and cloud-based infrastructures to process large amounts of data and train d
