A computer tool led to the creation of thousands of fake nude photos of women -- some of them underage -- without their consent that were then uploaded to the messaging app Telegram, The Washington Post reported. Sensity, a visual threat intelligence company headquartered in Amsterdam, discovered the Telegram network. There are 101,080 members in the network, and 70% of the group resides in Russia or Europe. About 104,852 images derived from pictures of more than 680,000 women were posted publicly to the app, with 70% of the photos coming from social media or private sources. A small number of victims appeared to be underage.

Process mining is one of the most active research streams in business process management. In recent years, numerous methods have been proposed for analyzing structured process data. Yet, in many cases, it is only the digitized parts of processes that are directly captured from process-aware information systems, and manual activities often result in blind spots. While the use of video cameras to observe these activities could help to fill this gap, a standardized approach to extracting event logs from unstructured video data remains lacking. Here, we propose a reference architecture to bridge the gap between computer vision and process mining. Various evaluation activities (i.e., competing artifact analysis, prototyping, and real-world application) ensured that the proposed reference architecture allows flexible, use-case-driven, and context-specific instantiations. Our results also show that an exemplary software prototype instantiation of the proposed reference architecture is capable of automatically extracting most of the process-relevant events from unstructured video data.

Disinformation is often presented in long textual articles, especially when it relates to domains such as health, often seen in relation to COVID-19. These articles are typically observed to have a number of trustworthy sentences among which core disinformation sentences are scattered. In this paper, we propose a novel unsupervised task of identifying sentences containing key disinformation within a document that is known to be untrustworthy. We design a three-phase statistical NLP solution for the task which starts with embedding sentences within a bespoke feature space designed for the task. Sentences represented using those features are then clustered, following which the key sentences are identified through proximity scoring. We also curate a new dataset with sentence level disinformation scorings to aid evaluation for this task; the dataset is being made publicly available to facilitate further research. Based on a comprehensive empirical evaluation against techniques from related tasks such as claim detection and summarization, as well as against simplified variants of our proposed approach, we illustrate that our method is able to identify core disinformation effectively.

COVID-19 has accelerated the digital revolution in every industry, including public relations. With the adoption of new technology changing the ways people communicate, it is time for public relations professionals to utilize artificial intelligence in their campaigns. Despite common assumptions, the field of public relations has been historically sluggish in the innovation department. Building and maintaining human relationships is an essential part of the profession. Although human connection is something that cannot be replaced by artificial intelligence, innovative technology will help make data-heavy job responsibilities easier.

One of the biggest trends in photography is the increasing presence of tools that leverage AI technologies to make everything from subject selection to full-scale edits more powerful and to enable new creative avenues. Is that necessarily a good thing, though? This thought-provoking video tackles the topic and offers an experienced landscape photographer's thoughts on the

Google is putting AI and machine learning technologies into the hands of journalists. The company this morning announced a suite of new tools, Journalist Studio, that will allow reporters to do their work more easily. At launch, the suite includes a host of existing tools as well as two new products aimed at helping reporters search across large documents and visualizing data. The first tool is called Pinpoint and is designed to help reporters work with large file sets -- like those that contain hundreds of thousands of documents. Pinpoint will work as an alternative to using the "Ctrl F" function to manually seek out specific keywords in the documents.

… are exploring many avenues to overcome these stumbling blocks, but few are as promising as artificial intelligence (AI) and machine learning (ML).

… but few are as promising as artificial intelligence (AI) and machine learning (ML). Here are the fraud-fighting benefits of these systems, as well as the …

Arthur Turrell, Eleni Kalamara, Chris Redl, George Kapetanios and Sujit Kapadia. Every day, journalists collate information about the world and, with …

"ORBIS RESEARCH in its recent report addition on Global AI/ Machine Learning Market (Covid-19 UPDATED Report) is poised to remain as in …