The graph represents a network of 1,276 Twitter users whose tweets in the requested range contained "iiot bigdata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 September 2020 at 10:21 UTC. The requested start date was Friday, 25 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 1-day, 17-hour, 36-minute period from Wednesday, 23 September 2020 at 06:09 UTC to Thursday, 24 September 2020 at 23:45 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.
The graph represents a network of 2,995 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 Sunday, 20 September 2020 at 23:42 UTC. The requested start date was Sunday, 20 September 2020 at 00:01 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 13-day, 21-hour, 20-minute period from Sunday, 06 September 2020 at 01:03 UTC to Saturday, 19 September 2020 at 22:24 UTC.
"The development of full artificial intelligence could spell the end of the human race. It would take off on its own, and re-design itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded." Professor Stephen Hawking gave the cautionary warning above almost six years ago. While no human can predict what the future will hold with specific accuracy, we can examine new technology and blend it with the social sciences and history to develop generalized ideas of the societal risks and rewards of said technology.
Easter, Passover, Holi, and Ramadan were just a few of the religious milestones that used virtual tools during the pandemic to replace traditional observation. The intersection of technology and spirituality is coming much faster than many expected. In the 1983 Star Wars film Return of the Jedi, artificially intelligent android C3P0 finds out what it's like to become the subject of worship. "They think I'm some sort of God," he said, as fuzzy creatures hover around him chanting in prayer. But the intersection of machines and religion is happening in real life.
It is a well-established fact that graphics have a higher recall value as compared to any other medium, and a person watching a video is more likely to retain its contents as compared to someone reading the same content in the text. In recent years the preference has shifted from image to video. This has led brands to make the most of the video and use it as a marketing tool to promote the products and services that they have to offer. Considering that a good fraction of the overall population now has access to smartphones with an internet connection, the popularity of video marketing has seen rapid growth in recent years. With marketing professionals across the world, recognizing the potential of video, there has been a constant pursuit to improve video marketing.
Over the past year, the Digital Banking Report has conducted several research studies on the deployment and potential impact of data and artificial intelligence on the banking industry. We have found that the improved use of data and advanced analytics can improve customer experiences, generate better marketing results, streamline deposit and lending operations, increase consumer engagement, support innovation, and be a foundation for digital transformation. Being a data-driven financial institution is no longer optional (if it ever was). In every industry, winners will be determined by how well data and AI can be used for the benefit of the consumer. Big tech firms such as Google, Apple, Facebook and Amazon (GAFA) are setting the pace, delivering experiences that are improving valuations and providing the foundation for entry into financial services.
Artificial intelligence (A.I.) is expected to significantly influence the practice of medicine and the delivery of healthcare in the near future. While there are only a handful of practical examples for its medical use with enough evidence, hype and attention around the topic are significant. There are so many papers, conference talks, misleading news headlines and study interpretations that a short and visual guide any medical professional can refer back to in their professional life might be useful. For this, it is critical that physicians understand the basics of the technology so they can see beyond the hype, evaluate A.I.-based studies and clinical validation; as well as acknowledge the limitations and opportunities of A.I. This paper aims to serve as a short, visual and digestible repository of information and details every physician might need to know in the age of A.I. We describe the simple definition of A.I., its levels, its methods, the differences between the methods with medical examples, the potential benefits, dangers, challenges of A.I., as well as attempt to provide a futuristic vision about using it in an everyday medical practice.
SAN FRANCISCO, Sept 25 ― Hostile and hateful remarks are thick on the ground on social networks in spite of persistent efforts by Facebook, Twitter, Reddit and YouTube to tone them down. Now researchers at the OpenWeb platform have turned to artificial intelligence to moderate internet users' comments before they are even posted. The method appears to be effective because one third of users modified the text of their comments when they received a nudge from the new system, which warned that what they had written might be perceived as offensive. The study conducted by OpenWeb and Perspective API analyzed 400,000 comments that some 50,000 users were preparing to post on sites like AOL, Salon, Newsweek, RT and Sky Sports. Some of these users received a feedback message or nudge from a machine learning algorithm to the effect that the text they were preparing to post might be insulting, or against the rules for the forum they were using.
"The tech giants have as much money and influence as nation states." Tech Giants include Apple Facebook, and Google ... but Amazon's unique flywheel makes it the torchbearer. "AWS alone is on track to be worth $1 trillion." The Amazon flywheel fuels a circular, data-driven ecosystem that's bolstered by Open Innovation. This article summarizes two from a series called the Tech Nations project.
Benchmarks can be very misleading, says Douwe Kiela at Facebook AI Research, who led the team behind the tool. Focusing too much on benchmarks can mean losing sight of wider goals. The test can become the task. "You end up with a system that is better at the test than humans are but not better at the overall task," he says. "It's very deceiving, because it makes it look like we're much further than we actually are."