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IEEE Spectrum on MSN5h
New Machine Vision Is More Energy Efficient—and More Human
AI vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...
India Today8h
What made Meta's $100 million AI hires irresistible, and how you can follow
Meta is pouring up to $100 million into top AI talent from OpenAI, DeepMind, and Anthropic. Here's more about their education ...
IEEE22h
An Effective Heart Disease Detection and Severity Level Classification Model Using Machine Learning and Hyperparameter Optimization Methods - IEEE Xplore
Cardiovascular disease (CVD) is the leading cause of death worldwide. A Machine Learning (ML) system can predict CVD in the early stages to mitigate mortality rates based on clinical data. Recently, ...
Exploring interpretable machine learning
I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...
IEEE6d
Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification - IEEE Xplore
Breast cancer remains a leading cause of death among women, highlighting the urgent need for effective detection methods. In recent years, AI-based techniques, including computer vision, machine ...
Scientific Research Publishing8d
Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision ()
Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .
Microsoft16d
Pattern Recognition and Machine Learning - Microsoft Research
This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...