The background-checking tool used by Match Group to offer a safety feature for Tinder users is shutting down. The non-profit and female-founded Garbo, which the dating app conglomerate has partnered with since 2019, will shut down its consumer tool at the end of August. "Most tech companies just see trust and safety as good PR," Kathryn Kosmides, Garbo's founder and CEO, told The Wall Street Journal, which published a report on the severed partnership. "I'd rather Garbo shift focus to our other efforts than allow the vision of Garbo to be compromised and relegated to a piece of big corporations' marketing goals." A Match Group spokesperson supplied a statement to Engadget.

AI adoption is on the rise. According to a recent McKinsey survey, 55% of companies use artificial intelligence in at least one function, and 27% attribute at least 5% of earnings before interest and taxes to AI, much of that in the form of cost savings. As AI will dramatically transform nearly every industry it touches, it's no surprise that vendors and enterprises are looking for opportunities to deploy AI everywhere they can. But not every project can benefit from AI and attempting to apply AI inappropriately can not only cost time and money but also sour employees, customers, and corporate leaders on future AI projects. The key factors for determining whether a project is suitable for AI are business value, availability of training data, and cultural readiness for change.

Artificial intelligence (AI) adoption is on the rise. According to a recent McKinsey survey, 55 per cent of companies use artificial intelligence in at least one function, and 27 per cent attribute at least 5 per cent of earnings before interest and taxes to AI, much of that in the form of cost savings. As AI will dramatically transform nearly every industry it touches, it's no surprise that vendors and enterprises are looking for opportunities to deploy AI everywhere they can. But not every project can benefit from AI and attempting to apply AI inappropriately can not only cost time and money but also sour employees, customers, and corporate leaders on future AI projects. The key factors for determining whether a project is suitable for AI are business value, availability of training data, and cultural readiness for change.

South Korean tech giant Samsung Electronics said Thursday its operating profit rose 53.3 percent in the fourth quarter of 2021, as record sales helped overcome pandemic-induced supply chain challenges. The world's biggest smartphone maker said its operating profit rose to 13.87 trillion won ($11.55 billion) for the October-December period in 2021, up from nine trillion won in the same quarter the previous year. Thanks to high memory chip prices and strong consumer demand, Samsung had its highest annual sales of 279.6 trillion won in 2021, an 18 percent jump from a year earlier, the company said in a regulatory filing. Samsung achieved "record sales thanks to competitive products, despite continuing uncertainty," the tech giant said in a statement, singling out solid demand for its premium smartphone lines. While the Covid-19 pandemic has wreaked havoc on the global economy, it has helped many tech companies boom.

SoftBank Group said Monday it is selling British chip designer Arm Ltd. to U.S. chip company Nvidia for up to $40 billion, potentially creating a new giant in the industry. "We reached a final agreement with … Nvidia to sell all shares in Arm" at the value of up to $40 billion dollars (about ¥4.2 trillion), SoftBank said in a statement. The deal is subject to approval by authorities in several jurisdictions, including Britain, China, the United States and European Union, the statement added. If approved, it will be one of the biggest merger-acquisitions in the world this year and promises to propel Nvidia to the forefront of the semiconductor sector. Founded in 1990 in the United Kingdom, Arm specializes in microprocessors, and dominates the global smartphone market.

Are you dreaming of starting an exciting career in AI? Most of the world's tech giants are in a race to become the world's leaders in artificial intelligence at the moment, making it an extremely competitive industry to get into. However, if you're looking for a role in AI, think about casting your net further than just the Amazons and the Googles of the world. There are actually interesting AI departments popping up in unexpected companies, from the beauty industry to the music industry. Irish-owned Andrson is a solution developed for talent scouts in the music industry.

F-systems are digraphs that enable to model sentences that predicate the falsity of other sentences. Paradoxes like the Liar and Yablo's can be analyzed with that tool to find graph-theoretic patterns. In this paper we present the F-systems model abstracting from all the features of the language in which the represented sentences are expressed. All that is assumed is the existence of sentences and the binary relation '... affirms the falsity of ...' among them. The possible existence of non-referential sentences is also considered. To model the sets of all the sentences that can jointly be valued as true we introduce the notion of conglomerate, the existence of which guarantees the absence of paradox. Conglomerates also enable to characterize referential contradictions, i.e. sentences that can only be false under a classical valuation due to the interactions with other sentences in the model. A Kripke's style fixed point characterization of groundedness is offered and fixed points which are complete (meaning that every sentence is deemed either true or false) and consistent (meaning that no sentence is deemed true and false) are put in correspondence with conglomerates. Furthermore, argumentation frameworks are special cases of F-systems. We show the relation between local conglomerates and admissible sets of arguments and argue about the usefulness of the concept for argumentation theory.

Typically, Chinese technology conglomerate Huawei makes the news because of the robust sales of its handsets or controversial telecommunications equipment. However, the firm has a host of business interests, including laptop manufacturing and smart glasses. Now, the company's taken steps to further its interests in the self-driving vehicle industry. Last week, Huawei announced it would use Chinese cartography firm NavInfo Co. Ltd.'s high-definition map data in its autonomous cars. Primarily, Huawei has taken up with NavInfo to avoid a major regulatory hurdle.

India's top multinational conglomerates are in the midst of a digital transformation. Indian companies, not usually viewed as disruptors are now seeing a critical opportunity in leveraging Artificial Intelligence (AI) and Machine Learning (ML) to identify newer opportunities and adapt to the fast-changing business environment. We are seeing a trend where business leaders across industries are deepening their commitment to AI and analytics and seeking ways to apply them at scale. However, making AI work in a conglomerate is not easy. For companies of the scale of Aditya Birla Group, Mahindra & Mahindra and the Tata Group, bigger isn't always better when it comes to driving cross-division synergies and catering to every division's needs.

What do a studio partnered with a French banking group, a consultant from a major British auditing firm and a Quebec AI conglomerate all have in common? In order to help you keep up with the latest in chatbots and artificial intelligence, here are 10 influencers--both French- and English-speaking--that you should definitely be following! An expert in new technologies, digital tools, and Information and Communication Sciences, Maria Johnsen offers you numerous tips to improve your business through innovations in AI and chatbots. A Business Development Leader & Management Consultant in the auditing division of PricewaterhouseCoopers, he posts tweets chock-full of figures, infographics and charts on all topics related to artificial intelligence. Her expertise in Customer Relations and Big Data is well-established: Tamara has been named one of the Top 25 Influencers in the fields of AI and machine learning.