Clearview AI, the controversial facial recognition startup that's gobbled up more than three billion of our photos by scraping social media sites and any other publicly accessible nook and cranny it can find, has lost its entire list of clients to hackers – including details about its many law enforcement clients. In a notification that The Daily Beast reviewed, the company told its customers that an intruder "gained unauthorized access" to its list of customers, to the number of user accounts they've set up, and to the number of searches they've run. The disclosure also claimed that Clearview's servers hadn't been breached and that there was "no compromise of Clearview's systems or network." The company said that it's patched the unspecified hole that let the intruder in, and that whoever it was didn't manage to get their hands on customers' search histories. Security is Clearview's top priority.

Anyone who uses the cut, copy and paste commands on their computer or mobile device has Larry Tesler to thank for making them so simple and easy to use. Tesler, who has died aged 74, began his work on cut, copy and paste in 1973, when he was hired by Xerox's Palo Alto Research Center (Parc) in California. Among other things he worked with a fellow computer scientist, Tim Mott, on the development of Gypsy, a "modeless" word processor. At the time most software had modes: for example, you might press I to enter the insert mode, or R for the replace mode. But Tesler's research showed that non-expert users found modes confusing – and so he began to fight against them.

My father, David Aspinall, who has died aged 86, was one of a small group of researchers who founded the field of computer science in the UK. As an engineering research student he was involved in building the Manchester University Atlas computer which, when it was switched on in 1962, was the fastest in the world. In 1970, David moved to University College Swansea to become professor of electrical engineering and create a new course, a BSc in computer technology, based on the model designed by his boss Tom Kilburn whose computer science department at Manchester University was the first of its kind in the UK. These people were the pioneers of the new academic and educational field of "computer science". David was born in Cleveleys, Lancashire, the son of Hilda (nee Whittle), who had worked in the weaving sheds of Blackburn before her marriage, and William Aspinall, a civil servant.

Purchases you make through our links may earn us a commission. It's an exciting time to be a Star Wars fan. New episodes of The Clone Wars are hitting Disney each week, The Rise of Skywalker arrives on digital March 17, and Lucasfilm just announced an entirely new era of Star Wars--The High Republic--that will explore the universe hundreds of years before the Skywalker saga takes place. There have never been more ways to get into Star Wars--an ever-expanding universe of mythic fantasy and rich spectacle. If you're feeling especially ambitious, check out the timeline of "canon" media on Wookieepedia for a fairly comprehensive overview of everything Star Wars has to offer: comic books, novels, video games.

The 3rd Workshop on Quality of Open Data will be held in conjunction with BIS conference on June 8-10, 2020 in Colorado Springs, United States. The goal of QOD 2020 workshop is to bring together different communities working on quality in Wikipedia, DBpedia, Wikidata, OpenStreetMap, Wikimapia and other open knowledge bases and data sources. The workshop calls for sharing research experience and knowledge related to quality assessment in open data. We invite papers that provide methodologies and techniques, which can help to verify and enrich various community based services in different languages. Papers approved for presentation at QOD 2020 will be published as a volume in Springer's Lecture Notes in Business Information Processing (LNBIP) series.

A new study from Juniper Research has found that wireless and infrastructure network carriers spend on Artificial Intelligence (AI) solutions will exceed $15 billion by 2024. One factor fueling investment in AI and other digital transformation initiatives is the rise of over-the-top (OTT) applications that directly compete with the operators' traditional business. Voice and messaging services such as WhatsApp, Skype, Telegram, and WeChat in China have transformed the way most users communicate, making a dent in voice and SMS revenues. Juniper Research believes that "the lack of regulation in this sector has enabled the staggering rise of OTT messaging and voice services, making it attainable for players such as WhatsApp, Line, WeChat and others to maintain low pricing business models and fast-paced nature of offerings." "Digital transformation has significantly changed operators' business models, which only a decade ago relied predominantly on SMS, MMS and voice calls for revenues."

Lancaster University, University of Essex and University of Alberta researchers will look at how AI can both lead to, and reduce, unintentional bias in job advertising and recruitment. The researchers will work with industrial partners to understand and mitigate gender and ethnic bias within human resource processes. Sheffield University and Simon Fraser University will use a cross-disciplinary approach to detect and counter abusive language online. The UK government is considering regulating social media platforms, requiring them to address abusive language and hate speech through content moderation. This project aims to develop AI methods to detect automatically and counter abuse and hate speech online.

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A company that specializes in detecting voice fraud is sounding the alarm over an emerging threat. With the help of AI-powered software, cybercriminals are starting to clone people's voices to commit scams, according to Vijay Balasubramaniyan, CEO of Pindrop. "We've seen only a handful of cases, but the amount of money stolen can reach as high as $17 million," he told PCMag. During a presentation at RSA, Balasubramaniyan said Pindrop has over the past year also investigated about a dozen similar cases involving fraudsters using AI-powered software to "deepfake" someone's voice to perpetrate their scams. "We're starting to see deepfake audios emerge as a way to target particular speakers, especially if you're the CEO of a company, and you have a lot of YouTube content out there," he said.

To support Thai policymakers in navigating this transition, the Institute of Public Policy and Development commissioned The Economist Intelligence Unit to conduct a foresight exercise that investigates how AI could affect key social and economic metrics in Thailand across three scenarios. In each of these scenarios, we have assumed that AI technology will substantially increase the use of computers and raise productivity. We focused our analysis on two critical and uncertain factors: the effectiveness of industrial policy and the extent of skills development in an AI-augmented economy. To better measure the magnitude of these impacts, we built an econometric model that forecasts four social and economic metrics to 2035: GDP growth, employment, productivity, and the relative importance of different sectors in the economy (industry, services and agriculture). We used qualitative analysis to build out our scenarios, considering the implications of AI and AI-assisted automation for specific sub-sectors of the economy, as well as wages, inequality, and social and political impacts.