AI Models Will Be Wrong Sometimes – And That’s a Good Thing
Machine Learning models are probability engines. They will guess wrong sometimes, and that’s how you know they’re working correctly.
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.
Machine Learning models are probability engines. They will guess wrong sometimes, and that’s how you know they’re working correctly.
Forward-looking intelligent factory organizations embrace new technologies and take a keen interest in workforce
As was the case last year, rather than seeing an endless string of traditional webinar talks, the virtual ODSC East conference put the attendee into an online …
In this week's real-time analytics news: Several AI educational efforts launch, NVIDIA intros new tools for data scientists, and several offerings that address …
While AI bias is a relatively new concern, the FTC has decades of experience enforcing bias laws that are relevant to today's
Setting real-time standards for identity verification will only become more important as our digital world continues to expand and scammers become more …
One of a smart city control center’s most useful features is its ability to serve as an Early Warning System (EWS) and quickly act on its own EWS …
Obstacles to enterprise AI adoption include lack of internal skills and poor communications between data scientists, business staff, and AI
In this week's real-time analytics news: Many announcements from NVIDIA GTC (GPU Technology Conference) where companies introduced new products or services …
Using machine learning in mobile apps offers a way to provide distinctive features, simpler operations, and an enhanced user