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Potato farming under the microscope: The latest in disease detection technologies

Potato farming under the microscope: The latest in disease detection technologies
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United States , Lukie Pieterse , Convolutional Neural Network , Building Collaborative Networks , Vultus Disease Detection Service , Resistance To New Technology Adoption , Convolutional Neural Networks Cnns , American Society Of Agricultural , Potato News , Irish Potato Famine , Learning Methods , Potato Disease , Convolutional Neural Networks , Deep Learning , Potato Crop Disease App , Potato Crop Diseases , Disease Detection , Automatic Blight Disease , Potato Plant Disease , Plant Village , New Technology , Data Management , American Society , Biological Engineers , Right Deep Learning Tools , Teodor Buhl ,

"Solar PV Power Prediction System Based on Machine Learning Approach" by Ghalia Nassreddine, Amal El Arid et al.

Electricity power is an essential need for the development of technology and industries. It is an essential component of modern human life. Using fossil and other petroleum components for electricity generation harms the environment. Many countries and industries have started using renewable sources like solar systems for electrical power generation. However, the main inconvenience of these systems is that they are unpredictable. The purpose of this work is to develop a machine learning-based method to estimate the generated power of PV solar systems based on environmental data such as sun irradiation, wind speed, and others. Before implementing Machine Learning techniques, the built system goes through a feature selection stage to identify the most influential parts. This step improves system performance by removing unnecessary data. Only three ML approaches were used and compared: CNN (Convolutional Neural Network), SVR (Support Vector Regression), and (RF) Random Forest. The SVR out ....

Convolutional Neural Network , Machine Learning , Support Vector Regression ,

VeriSilicon NPU IP is Shipped in Over 100 Million AI-Enabled Chips Worldwide

Enabling efficient execution of applications ranging from AI voice, AI vision, AI pixel to AIGC on embedded devices

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Wei Jin Dai , Convolutional Neural Network , Neural Network Processor , Ip Division At Verisilicon , Software Development Kit , Large Language Model , Stable Diffusion , Image Signal Processor , Graphics Processor Unit ,

Learn how to use PyTorch for Deep Learning applications

If you are interested in building AI powered applications PyTorch is definitely worth checking out if Deep Learning something you would ....

Google Colab , Convolutional Neural Network , Facebook Ai Research , Training Neural Networks , Neural Networks , Development Tools , Deep Learning , Install Pytorch , Jupyter Notebooks , Explore Pytorch ,

Accelerating the Discovery of Single-Molecule Magnets with Deep Learning

Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers from TUS have used deep learning to predict SMMs from 20,000 metal complexes. ....

United Kingdom , Daisuke Nakane , Yuji Takiguchi , Takashiro Akitsu , Megan Craig , International Union Of Crystallography Journal Iucr , Tokyo University Of Science , D Convolutional Neural Network , Tokyo University , International Union , Crystallography Journal , Professor Takashiro Akitsu , Assistant Professor Daisuke Nakane , Cambridge Structural , Convolutional Neural Network ,