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AI-powered strategy streamlines protein engineering by integrating structural and evolutionary constraints
A team of researchers has developed a method that could transform the field of protein engineering. The new approach, called ...
Scientific Research Publishing1d
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
Tech Xplore2d
AI cloud infrastructure gets faster and greener: NPU core improves inference performance by over 60%
The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...
IEEE4d
Fast Sparse Connectivity Network Adaption via Meta-Learning
Partial correlation-based connectivity networks can describe the direct connectivity between features while avoiding spurious effects, and hence they can be implemented in diagnosing complex dynamic ...
IEEE6d
A Malware Detection Approach Using Autoencoder in Deep Learning
Today, in the field of malware detection, the expanding limitations of traditional detection methods and the increasing accuracy of detection methods designed on the basis of artificial intelligence ...