Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a ...

Paytm’s Senior Vice President Naveen Setia discusses how Paytm’s AI capabilities drive hyper-personalization, fraud ...

The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic dissection who returned to work. Multiple validated instruments with good ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

My name is He, and I am a student at Nankai University .I am interested in multimodal fake news detection. I would like to apply for access to the Weibo21 dataset for academic research and ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

Web navigation focuses on teaching machines how to interact with websites to perform tasks such as searching for information, shopping, or booking services. Building a capable web navigation agent is ...