ChatGPT after its launch on November 30, 2022, took the AI world by storm. Since its launch, ChatGPT was awarded "the best AI chatbot ever released" by the New York Times. This AI chatbot which provides human-like text answers to users has broken many unexpected records since its launch. The AI bot hit its first 1 million users in only 5 days and reached the 100 million monthly active users mark in just 2 months after the launch. It also scared some big tech industries in the world to change their strategies like Google declaring code red after ChatGPT's popularity and introducing its own AI tool Bard AI.

The graph represents a network of 1.023 Twitter users whose recent tweets contained "#ChatGPT #Education lang:en", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 2.000 tweets. The network was obtained from Twitter on Saturday, 11 February 2023 at 16:52 UTC. The tweets in the network were tweeted over the 9-day, 6-hour, 56-minute period from Thursday, 02 February 2023 at 08:19 UTC to Saturday, 11 February 2023 at 15:16 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

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.

The graph represents a network of 2,215 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 02 December 2019 at 21:43 UTC. The requested start date was Monday, 02 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 5-day, 4-hour, 52-minute period from Tuesday, 26 November 2019 at 20:08 UTC to Monday, 02 December 2019 at 01:00 UTC.

The 20 jobs that robots are most likely to take over human jobs. Is your job at risk? Machines are only getting smarter and more efficient. So much so that they're starting to take over both blue-collar and white-collar jobs. NPR recently posted a guide created by researchers that predicts the chance of our jobs being automated within the next 20 years. To make their projections, the experts scored jobs across 21 fields on nine possible traits, the four most important being: cleverness, negotiation, helping others, and squeezing into small spaces. "Machines have the potential to make the workplace more efficient, by automating mechanical and routine processes, but humans will always play a key-role at the centre," he said.

The University of British Columbia created a computer program called DeepLoco that uses deep learning to teach itself to walk, run, and even dribble a soccer ball. It could help video games become much more realistic and even aid robots in the real world.

Google's artificial intelligence company, DeepMind, has developed an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. The result is as impressive as it is goofy.

X.ai's "Amy Ingram" aims to take the hassle out of arranging meetings. X.ai, the company behind the "Amy Ingram" personal assistant that helps eliminate the back-and-forth email exchange that comes with arranging meetings, is launching an enterprise edition. To use the virtual PA -- which also comes in an "Andrew Ingram" version and has been available to individuals since 2015 -- users link their calendars to the service and then CC amy@x.ai Amy or Andrew then take over and chat to the contact like a real PA in order to organize the most convenient rendezvous. As Business Insider has previously reported, many people on the receiving end of emails from the Ingrams have been fooled into thinking they were speaking to a real PA -- so much so that "Amy" has even been sent gifts.

The most commonly discussed trend in technology circles this year has been the Internet of Things (IoT). Most of us have seen the predictions made by giants like BusinessInsider, Forrester and Gartner. BusinessInsider's latest reports predict that there will be 34 billion devices connected to the internet by 2020 and that nearly $6 trillion will be spent in the IoT sector over the next five years. Forrester's predictions for the near-term are a little darker – in 2017, Forrester predicts that we will not only see our first large-scale security breach but that there will also be an increase in the use of DDoS (Distribute Denial of Service) attacks. On the bright side, the research group is also predicting that these attacks will drive sophisticated security measures in the form of new security-focused solutions and industry-specific IoT certifications.

Ever since the industrial revolution, there are those among the working class who have held a fear of machines, and their potential to take away the jobs of humans. With the advent of the Internet of Things, connected smart machines have advanced to a stage where similar fears are resurfacing and some of them may be valid. Many are asking themselves, could a machine do their job? Perhaps the question that is much more appropriate, is whether machines will be taking jobs, in the near future? What Do Industry Insiders Think About Smart Machines and Their Potential? Smart machines that are connected to IoT infrastructure are becoming more common in every industry.