Plant DNA structure is the fundamental blueprint that determines how a plant grows, behaves, and adapts to its environment. From leaf shape to disease
UMA Dorong UMKM Keripik Pisang Go Digital Melalui Inovasi dan Pelatihan Produksi
Posted on by Fachrur Rozi
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
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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
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Model pruning is an essential technique in machine learning that focuses on reducing the size of neural networks by eliminating unnecessary weights, n
Reinforcement Learning Algorithms for Low-Power Devices
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Reinforcement Learning (RL) is a powerful paradigm in machine learning where agents learn to make decisions through trial and error, guided by rewards
Federated Learning on Resource-Constrained Devices
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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
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Machine learning models, especially deep learning architectures, require massive amounts of computation. Traditional CPUs, while flexible, are often i
