What’s Next for Investigative Intelligence?
With the emergence of hybrid threats, Investigative Intelligence requires correlating new data with historical data and marrying real-time processing with AI …
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.
With the emergence of hybrid threats, Investigative Intelligence requires correlating new data with historical data and marrying real-time processing with AI …
Businesses should regard AI cybersecurity predictions with a level of skepticism for some time to come due to the reliability uncertainty of such
NLU offers companies the power to improve quality management and to activate the best insights for a better overall customer
The goal of pursuing small data is to create a truly human-like intelligent machine capable of learning the way children do when exploring the world for the …
Remember, there is no AI without IA. Make sure that information architecture works and your AI will function appropriately.
The Milton Keynes Council MK5G project wants to explore using 5G mobility to move people and goods with autonomous
In this week's real-time analytics news: partnerships and collaborations top the charts as companies and groups aim to make use of AI and cloud-native …
Autonomous buildings aim for a higher level of automation than smart buildings, optimizing environmental impact, enhancing comfort, and increasing security.
Domain-specific solutions, a lowered barrier to AI adoption, and an emphasis on industrial data value are all benefits industrial AI brings to the table.
NLP Expert Neta Snir explains how NLP can be used to detect high-risk situations online and save lives.