They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

Abstract: Deep learning has advanced in image, audio, and text, but challenges such as heterogeneity and weak correlations remain in tabular data. This paper presents the FT-Mamba architecture, which ...

Abstract: Breast cancer is a prominent and fatal cancers that affect adult females worldwide. Improving patient outcomes requires early detection and accurate diagnosis. Recent advances in computer ...

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...

Google Research introduces in-context fine-tuning (ICF) for time-series forecasting named as ‘TimesFM-ICF): a continued-pretraining recipe that teaches TimesFM to exploit multiple related series ...

A learner driver has failed their practical test because they used the regenerative braking in her Tesla Model Y EV rather than the traditional brakes. Is this fair, though, or does the test need to ...

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

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