The dots representing locations on this white map on this documentary I watched for a few seconds inspired me this documentary Artificial Fan (DAF) that I am writing about after writing about this yellow sticker that is about JS dependencies switching and swapping. Maybe these two topics are related because all I will be writing about in this story is to some extent also about computational journalism because it's about producing web content and fan engagement experiences and platforms as well as automated conversations in social media and all of these autonomously. The identification of the materials used in a documentary, materials like archives, interviewed people, showcased facts like documents, and the gathering of more information about these materials for the purpose of creating even more content about them and crediting the people and organizations behind these materials is the purpose of this documentary Fan bot that I am about to describe and implement. Then I could say that this documentary fan bot is about producing engaging content autonomously for the fanbase of the underlying film documentary that it covers for the goals of having more reliable sources and materials about this film documentary first streamed on video streaming platforms like Netflix, Discovery, …. This Documentary Fan bot that I am trying to describe in this story is about how one could use a computer to take any produced documentary Like … and produces autonomously rich web content and social media discourses from this film documentary with what we call artificial intelligence and its special custom field that is machine learning.
The graph represents a network of 1,939 Twitter users whose tweets in the requested range contained "datascientist", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 November 2022 at 20:51 UTC. The requested start date was Monday, 28 November 2022 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 3-day, 14-hour, 40-minute period from Tuesday, 22 November 2022 at 12:30 UTC to Saturday, 26 November 2022 at 03:10 UTC.
The upcoming Microsoft Designer is a visual art design tool that you simply must try for yourself. It's simply one of the best consumer apps Microsoft has ever made, following in the footsteps of Clipchamp. In Designer, you can combine apparently unlimited amounts of AI art with intelligently suggested templates that can generate finished projects in just seconds. Microsoft announced Microsoft Designer in October, and it's currently locked to a small group of testers in preview mode. PCWorld obtained access via preview codes shared on Twitter, and that's the way Microsoft is slowly adding users--after you download your first creation, you'll be given a code for three additional Designer licenses that you can share with whomever you'd like.
Elon Musk has said he wants to make Twitter "the most accurate source of information in the world." I am not convinced that he means it, but whether he does or not, he's going to have to work on the problem; a lot of advertisers have already made that pretty clear. If he does nothing, they are out. And Musk has continued to tweet in ways that seem to indicate that he is generally on board with some kind of content moderation. The tech journalist Kara Swisher has speculated that Musk wants AI to help; on Twitter she wrote, rather plausibly, that Musk "is hoping to build an AI system that replaces [fired moderators] that will not work well now but will presumably get better."
The graph represents a network of 2,315 Twitter users whose tweets in the requested range contained "iot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 November 2022 at 12:29 UTC. The requested start date was Wednesday, 23 November 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 19-day, 4-hour, 44-minute period from Thursday, 03 November 2022 at 20:15 UTC to Wednesday, 23 November 2022 at 01:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.
Machines routinely outperform experts in predicting, for example, which employee will succeed on the job and optimising a supply chain, because they can process mountains of data through sophisticated equations in the time it takes for a lesser human brain to decide on lunch. Machines can also improve our quality of life as customers by making predictions about what we like to wear, watch, and consume for our health. Though algorithms promise to make our lives smarter, happier, and more efficient, many still struggle to overcome their "algorithm aversion," making them resistant to its benefits. We hesitate to put our faith in an abstract algorithm and would rather seek advice from a living, breathing entity. At least if my doctor or buddy is wrong, I can tease them about their bad gut instinct.
Spotify has Wrapped, and Tinder has Year in Swipe. Along with the most-used emojis and interests shared on the dating app, Tinder also identified the dominant trends from the year. "Situationships" are a valid relationship status now. A situationship is when you're not quite dating someone, but you're not just sleeping with them either. If it sounds murky, that's because it is.
After a couple of weeks of experimentation, I realised the AI had the potential to describe imaginary artworks. To my delight, I discovered I could prompt it to write the kind of text you see on a wall label next to a painting in an art gallery. This would prove to be the start of a fascinating collaborative journey with GPT-3 and a suite of other AI art tools, leading to work that has ranged from a physical sculpture of toilet plungers to full-size oil paintings on the wall of a Mayfair art gallery. In recent months, AI-generated art has provoked much debate about whether it will be bad news for artists. There's little doubt that there will be disruptive changes ahead, and there are still important questions about bias, ethics, ownership and representation that need to be answered.
The graph represents a network of 1,668 Twitter users whose tweets in the requested range contained "#cloud", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 20 November 2022 at 07:16 UTC. The requested start date was Sunday, 20 November 2022 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 15-hour, 0-minute period from Saturday, 19 November 2022 at 10:00 UTC to Sunday, 20 November 2022 at 01:00 UTC.
The graph represents a network of 2,205 Twitter users whose tweets in the requested range contained "iot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 November 2022 at 12:27 UTC. The requested start date was Wednesday, 16 November 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, 4-hour, 32-minute period from Wednesday, 02 November 2022 at 04:42 UTC to Friday, 04 November 2022 at 09:15 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.