Media
UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV
Rahmun, Mahieyin, Deb, Tonmoay, Bijoy, Shahriar Ali, Raha, Mayamin Hamid
Unmanned Aerial Vehicle (UAV) has gained significant traction in the recent years, particularly the context of surveillance. However, video datasets that capture violent and non-violent human activity from aerial point-of-view is scarce. To address this issue, we propose a novel, baseline simulator which is capable of generating sequences of photo-realistic synthetic images of crowds engaging in various activities that can be categorized as violent or non-violent. The crowd groups are annotated with bounding boxes that are automatically computed using semantic segmentation. Our simulator is capable of generating large, randomized urban environments and is able to maintain an average of 25 frames per second on a mid-range computer with 150 concurrent crowd agents interacting with each other. We also show that when synthetic data from the proposed simulator is augmented with real world data, binary video classification accuracy is improved by 5% on average across two different models.
AI: The Tool, Not the Movie
"The development of full artificial intelligence (AI) 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 Humans, who are limited by slow biological evolution, couldn't compete and would be superseded." Now, I love Stephen Hawking and his way of thinking. Here is a person who seems able to look around corners to predict the future. And I just don't buy this statement.
World Economic Forum Calls For Merging of Human and AI Intel to Censor 'Hate Speech' & 'Misinformation'
Despite the fact that no one asked, the World Economic Forum is now advocating for the merger of human and artificial intelligence systems to censor "hate speech" and "misinformation" online before it is even allowed to be posted. A report published to the official WEF website ominously warns about the peril of "the dark world of online harms." But the globalist body, run by comic book Bond villain Klaus Schwab, has a solution. They want to merge the'best' aspects of human censorship and AI machine learning algorithms to ensure that people's feelings don't get hurt and counter-regime opinions are blacklisted. "By uniquely combining the power of innovative technology, off-platform intelligence collection and the prowess of subject-matter experts who understand how threat actors operate, scaled detection of online abuse can reach near-perfect precision," states the article.
AI: enhancing the future of digital transformation
Digital transformation is no longer an inward tactic used to reform an organisation's operations; it's now a necessary undertaking sought out by CIOs and IT leaders. Recent developments have pushed organisations to embrace digitisation, causing the fourth industrial revolution and technologies such as artificial intelligence to go mainstream. Even though, according to Gartner, only 53 per cent of AI projects make it from prototype into production, companies can't ignore the benefits of successful AI implementation. Enhanced AI solutions such as the artificial intelligence of things (AIoT), conversational AI and machine learning (ML) are improving the future of digital transformation and offer more innovative ways than ever before to address business challenges. Today's AI solutions can be customised to address a company's unique set of challenges.
AI Research Codes are Open, Accessibility is an Issue
For the past few years, the scientific community worldwide has been advocating the accessibility of science. 'Open Science', as they call it, is an ongoing movement to make research papers accessible to all. Open information is vital for research, even in space tech. Not many know that three years ago, when scientists created the first-ever black hole image, it was made possible only because of an open-source software, Matplotlib. The research papers that often claim to have their dataset/code open, are often found to be making false proclamations.