The graph represents a network of 2,475 Twitter users whose tweets in the requested range contained "iot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 December 2022 at 13:20 UTC. The requested start date was Wednesday, 07 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 9-hour, 23-minute period from Sunday, 04 December 2022 at 15:36 UTC to Wednesday, 07 December 2022 at 00:59 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

The graph represents a network of 2,048 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 December 2021 at 13:12 UTC. The requested start date was Friday, 31 December 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 3-day, 10-hour, 32-minute period from Monday, 27 December 2021 at 14:28 UTC to Friday, 31 December 2021 at 01:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

By increasing this creative interpretation you can produce dream-alike imagery. Neural Networks act like our brain in the case of Pareidolia: it looks for familiar patterns, which derive from datasets they were trained on. The example above (a screen from my presentation on the AI Meetup Frankfurt, November 2019) demonstrates how our brain recognizes a face in the rock formations of Cydonia region on Mars. A user Nixtown transformed Da Vinci's Mona Lisa by continuous DeepDream iterations -- and AI recognizes weird patterns. Often our brain recognizes patterns or objects which aren't there.

The graph represents a network of 3,695 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 16 December 2019 at 03:32 UTC. The requested start date was Monday, 16 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 3-day, 2-hour, 40-minute period from Thursday, 12 December 2019 at 22:20 UTC to Monday, 16 December 2019 at 01:00 UTC.

"Humans at Instagram trained the system, which is built on a Facebook-developed text-processing system called DeepText, by sorting negative comments into categories, including bullying, racism, and sexual harassment, the New York Times reports" writes Steven Melendez Is for fastcompany.com. DeepText uses deep neural networks and other state-of-the-art machine-learning tools to try to parse language in context, Facebook has said.