Graph Analytics’ Value Demonstrated in Industry Use Cases
Graph analytics is finding innovative applications in financial services, healthcare, pharmaceutical, telecom, and other
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.
Graph analytics is finding innovative applications in financial services, healthcare, pharmaceutical, telecom, and other
The social impact of AI, both negative and positive, will likely play an essential role in how the U.S. government approaches the new tech for the next four …
Smart shopping carts use image analysis and artificial intelligence to identify and bill for items placed in a
In this week's real-time analytics news: An impressive array of philanthropic and government funding for bringing AI to society, plus numerous product
Quantum computing can greatly accelerate the ability to analyze data coming in from the grid to re-route and re-allocate
Mobile AI apps give businesses the ability to analyze data, allowing them to provide more engaging and personalized user
The goal of the optimization algorithm is to make it easier for businesses to understand the potential of their robotics
An experimental traffic signal controller system uses self-learning algorithms and can adjust traffic flows based on changing conditions.
Real-time systems can have development challenges due to their complexity, distributed nature, and the need for analysis to be done in
NLP helps researchers understand the virus because the immune system’s interpretation of protein signatures is akin to the brain’s interpretation of …