Sinar Daily on MSN2h
Unsupervised social media use can induce psychological stress in children - Expert
Whether at a restaurant or in a shopping mall or even on the way from home to school and vice versa, the smartphone is often ...
EDN2d
Applying AI to RF design
An in-depth interview with MathWorks shows how MATLAB has evolved to assist designers to implement AI in their wireless ...
Impacts4d
Integrating Machine Learning into Android Apps
By enabling intelligent, data-driven functionalities, machine learning (ML) integration into Android apps is transforming the ...
Frontiers5d
Machine Learning Integration in Computational Neuroscience: Enhancing Neural Data Decoding and Prediction
Computational Neuroscience is a rapidly evolving field that seeks to understand the brain's complex functions through ...
Unlock The Power Of Data Science With Simplifying Data Science With Python: Billy David Millican
A New Essential Resource from Acclaimed Data Scientist and Innovator LA MESA, CA, UNITED STATES, November 11, 2024 /EINPresswire / ...
Identity, Intent And Instrument: A Modern Framework For Payments Risk
The balance between securing transactions and enabling growth is key to long-term success in the evolving world of payments risk management.
Scientific Research Publishing13d
The Role of Machine Learning and Deep Learning Approaches to Improve Optical Communication Systems ()
Binjumah, W. (2024) The Role of Machine Learning and Deep Learning Approaches to Improve Optical Communication Systems.
Unsupervised Learning Enables Scalability For Autonomous Vehicles
The autonomy revolution is progressing. Helm.ai's unsupervised learning and generative AI approach offers scalability, ...
IEEE21d
CG-CNN: Self-Supervised Feature Extraction Through Contextual Guidance and Transfer Learning
CG-CNN mimics the context-guided unsupervised learning mechanisms of biological neural networks and it can be trained to learn its features on limited-size datasets. Our experimental results on ...