Some, however, find that bridging fields opens new realms of possibility. Henry Kvinge, who trained as a mathematician but ...

Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

AI and data science are no longer specialist skills confined to computational biology departments; they are core tools of the modern life science research workflow. From machine learning (ML) models ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

ABSTRACT: Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which ...

I completed the Deep Learning Basic Course hosted by the UTokyo Matsuo Lab in January. Following my participation in GCI, I was selected as an outstanding student, so I would like to write a course ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...

I have summarized the key points of the book 'Deep Learning, Revised 2nd Edition (Machine Learning Professional Series)' by Takayuki Okatani (2025). To systematically understand the theory, ...

ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...