Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
A deep learning algorithm called FaceAge could allow clinicians to improve their qualitative assessments, and possibly catch ...
They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...
Abstract: The widespread use of the internet has led to frequent cryptographic attack event incidents, which pose various risks, including the leakage of personal information, privacy data, identity ...
With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...
Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...
Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...
Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...
AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...
Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...
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