University of Geneva

Defending against adversarial attacks by randomized diversification

The chain of the first 3 blocks can be organized in a parallel multi-channel structure that is followed by one or several aggregation blocks. The final decision about the class is made based on the ...
IEEE

Classification of Depression Using Machine Learning Methods Based on Eye Movement Variance Entropy

Abstract: Depression is a common mental illness with widespread effects worldwide. At present, most relevant studies are performed by using free-view experiments to identify depression based on eye ...

MicroCloud Hologram Inc. Proposes Quantum AI Simulator Adopting Hybrid CPU-FPGA Method, Achieving Efficient Image Classification Simulation Through Heterogeneous Computing

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...
IEEE

Pavement Distress Detection, Classification, and Analysis Using Machine Learning Algorithms: A Survey

Abstract: Distress is any observable deterioration or damage that negatively impacts the road’s performance and safety. Potholes cracks, rutting, and bleeding are a few examples of distress.
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...