Source – https://techxplore.com/ Patterns and anomalies in big data can help businesses target likely customers, reveal fraud or even predict drug interactions. Unfortunately, these patterns are often not easily observable. To extract the needles of useful information out of haystacks of data, data scientists need increasingly powerful methods of machine learning. Dr. Aria Nosratinia, the Read More
Tag: develops
Source: london-post.co.uk New Delhi: Scientists at the Institute of Advanced Study in Science and Technology (IASST), Guwahati, an autonomous institute of the Department of Science & Technology, Govt of India, have developed an artificial intelligence (AI) based algorithms as an aid to rapid diagnosis and prediction of oral squamous cell carcinoma. The framework developed by Read More
Source: blogs.oracle.com Chatbots and virtual assistants that don’t provide the right answers to customer queries can result in a frustrating digital experiences for customers – particularly those chatbots programmed without deep learning capabilities. Deep learning is essential for automated chatbots to understand natural language questions and to provide the right answers, which is something that AI-powered Read More
Source: ukauthority.com It has taken the services through a proof of concept phase and is now planning to work with Microsoft and Amazon Web Services (AWS) to make them widely available over the next six months. Chris Suter (pictured) head of digital platforms and innovation at NHSBSA, said it is also looking to further validate Read More
Source: army.mil ABERDEEN PROVING GROUND, Md. — A big data approach to neuroscience promises to significantly improve our understanding of the relationship between brain activity and performance. To date, there have been relatively few attempts to use a big-data approach within the emerging field of neurotechnology. In this field, the few attempts at meta-analysis (analysis Read More
Source:- oilfieldtechnology.com At industry events over the last couple of years, digitalisation has become a major point of interest with dedicated technical sessions and exhibition feature areas to explore this growing topic. Perhaps the biggest area of interest in the industry right now is around machine learning and the opportunities it offers to revolutionise geoscience workflows. Read More