AI to Bring Flood Detection into the Technological Age
WorldFloods, an AI-based model for flood detection, accelerates response times by processing relevant information on a device, reducing the amount of data …
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
WorldFloods, an AI-based model for flood detection, accelerates response times by processing relevant information on a device, reducing the amount of data …
In this week's real-time analytics news: Hitachi Vantara announced the general availability of its next-generation Lumada DataOps Suite, Intel announced new …
Because of the more open and dynamic nature of universities and colleges, the need for CI is even greater than that of some businesses.
The benefits of understanding data resources will become impossible for even the most technology-challenged companies to ignore, leading to more demand for …
Businesses need a data-driven approach that derives real-time threat insights from streaming data to fight modern cyber
AI, ML, and deep learning have distinct purposes and capabilities and mostly work as holistic units to deliver results and accomplish tasks.
In this week's real-time analytics news: GE Healthcare teams with AWS to deliver AI solutions to hospitals, Corning intros high-performance indoor cellular …
Intelligent chat analytics help brands create powerful customer experiences while staying compliant with changing privacy
Smart city infrastructure that is capable of pulling data from multiple sources is ideal. However, cities can benefit from smart city
In this week's real-time analytics news: VMware, Dell Technologies, and NVIDIA team on Product Monterey to develop a software-defined architecture for the data …