British Airways (BA) has introduced artificial intelligence (AI) technology to parts of its "airside operation" at Heathrow Airport. In an announcement Monday, the airline said that AI would be used to tackle challenges faced when an aircraft is being prepared for departure after passengers from its previous flight have disembarked. It's during this time that staff on the ground undertake manual checks related to 18 different things, making records of what they are doing, British Airways said. These checks have to be done before the plane takes to the air again and are, among other things, related to refueling, the unloading and reloading of luggage, and cleaning of the aircraft's inside. BA said that if one of these tasks encounters an issue, it could potentially disrupt the whole process, resulting in a delayed departure.

We are nearing the end of this decade, and investors need to gear up for the sectors that will dominate the 2020s. Artificial intelligence (AI) has attracted attention from a variety of circles. AI skeptics like Elon Musk have struck a cautionary tone, while Facebook founder Mark Zuckerberg is far more optimistic. There is one thing we can guarantee: companies will continue to throw huge investments, as AI tech promises to be a big money maker going forward. Canada's stock market has been maligned for being financial, energy, and material heavy, while its technology sector is tiny in comparison to its U.S. counterparts.

Today marked the kickoff of Xiaomi's annual Mi Developer conference in Beijing, and the tech giant wasted no time in announcing updates across its AI portfolio. It took the wraps off the latest release of Mobile AI Compute Engine (MACE), its open source machine learning framework, and it demoed an improved version of its Xiao AI voice assistant (Xiao AI 3.0). Xiao AI, which Xiaomi says is used by 49.9 million users each month, will soon support multi-turn conversations à la Alexa Conversations and Google's Continued Conversation. This will be enabled on select phones, including the Xiaomi Mi 9 Pro and the Xiaomi Mi 9 via a software update, and it will allow for interruptions of the assistant at any time with new requests or commands. Xiao AI 3.0 also boasts improved voice shortcut functionality and a voice reply feature that will let users respond to incoming calls with transcribed text messages. That's in addition to a command to find missing devices, like smartphones, and a male voice option.

Due to the increasing involvement of state players in automation warfare, when AI-driven automation is on its way to becoming a war weapon, what will it mean for an enterprise to stay competitive for survival? Artificial intelligence is redefining the very meaning of being an enterprise. The rapidly advancing artificial intelligence (AI) capability is on its way to revolutionizing every aspect of an enterprise. The ability to access data has leveled the playing field and brought every enterprise a unique possibility of progress. What needs to be seen is in this level playing field, which enterprises will be able to compete and lay a new foundation for fundamental transformation and which ones will decline.

Loughborough University and the Willis Research Network (WRN) would like to invite you to another conference bringing together a range of perspectives on the business application of Artificial Intelligence (AI) and its role in the ongoing digital transformation of the insurance industry. The goal is to look beyond the day to day business decision-making and examine the broader challenges of employing AI, the implication for business models and to address some of the organisational and public policy challenges to effective use of these new technologies. We will have a mix of top university researchers and industry practitioners participating as both presenters and panellists to enhance our depth of knowledge around AI and the use of AI in our industry. We look forward to welcoming you to a stimulating day of open debate and insightful discussion. The conference is the first major event organised by the TECHNGI research project, hosted by Loughborough University and Willis Towers Watson and funded from the UK Government Industry Challenge Fund's Next Generation Services program.

BRG announced today that it has added 12 members from Vista Analytics, LLC, significantly expanding the firm's capabilities in artificial intelligence and machine learning. "The addition of Vista Analytics is an exciting development," said BRG Chairman and Principal Executive Officer David J. Teece. "They bring sophisticated and complementary tools to our market-leading data analytics expertise." The market for dispute technology is in a unique nexus where the type, volume and complexity of data relevant to disputes is both growing and evolving. There is a clear need for new tools to help make sense of this complex data and simultaneously reduce the time and cost associated with data analysis.

Will artificial intelligence (A.I.) and machine learning carve up the tech industry into "haves" and "have nots"? That's the thesis presented by a recent article in The New York Times, which suggests that, while ultra-monetized companies such as Google and Facebook can fund as much A.I. research as they need, academic institutions and smaller firms are being left behind. "The huge computing resources these companies have pose a threat--the universities cannot compete," Craig Knoblock, executive director of the Information Sciences Institute at the University of Southern California, told the newspaper. The Times points to OpenAI, which launched as a nonprofit designed to prevent A.I. from being used in terrible and unethical ways, as an example of this trend. OpenAI has since evolved into a "capped" for-profit company, and reportedly plans to use any revenues to fund its computing infrastructure.

Being able to spell, checking your profile for typos and using correct grammar could determine whether you get a match on a dating site, a new study has revealed. Researchers worked with members of an online dating service and asked them to read fake profiles that had language errors as well as ones that had no mistakes. The study of more than 800 people on a dating site in the Netherlands found that errors such as writing'teh' for'the' and putting capital letters in the wrong place suggested sloppiness and a lack of attention to detail. If a profile has spelling mistakes and grammatical errors they were more likely to be perceived as less intelligent and so were less likely to be a match. 'In the case of online dating, inattentiveness can be interpreted as a lack of effort and interest in putting time and effort in constructing a dating profile.

This is a continuation of our series on machine learning methods that have been implemented in JASP (version 0.11 onwards). In this blog post we train a machine learning model to find clusters within our data set. The goal of a clustering task is to detect structures in the data. To do so, the algorithm needs to (1) identify the number of structures/groups in the data, and (2) figure out how the features are distributed in each group. For instance, clustering can be used to detect subgenres in electronic music, subgroups in a customer database, or to identify areas where there are greater incidences of particular types of crime.

The Virginia Chapter of ISACA Herndon monthly meeting will feature a presentation by Eric Poynton, Founder of Awake Security entitled "Machine Learning in Security." An over-reliance on AI and Machine Learning can lead to Risk. The methodologies that compensate for ML's weaknesses might atrophy with such a fixation.