Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are ...
Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity ...
The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya ...
It is poised to advance deep-sea research from traditional qualitative analysis toward an intelligent, interpretable and ...
Truveta scientists developed and validated a multimodal deep learning model using chest radiographs and de-identified electronic health records from Truveta Data. Using Truveta Data, researchers ...
In the video presentation below (courtesy of Yandex) – “Deep Learning: Theory, Algorithms, and Applications” – Naftali Tishby, a computer scientist and neuroscientist from the Hebrew University of ...
Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
A recent Npj Digital Medicine study evaluated the effectiveness of COMPOSER, a deep learning model for early sepsis prediction. It assessed the impact of this model on the quality of patient care and ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...