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A quantum leap in Flight Management

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Picture a pilot navigating the crowded skies over a major European city with a dark thundercloud looming ahead. Avoiding the storm is a matter of urgency, but how? Fortunately, the decision to change trajectory has just become easier, thanks to Thales's new-generation Flight Management System (FMS) for civil and military aircraft, PureFlyt, which provides pilots with more detailed weather information as the flight progresses. It does this with agile functions including flight planning and trajectory computation, fuel management, horizontal and vertical guidance, datalink connections with on-ground counterparts, and location capabilities. A user-friendly "What You See Is What You Fly" display shows the pilot precisely how the aircraft is forecast to behave throughout the duration of the flight up until wheels touch ground.


Sony launches new AI unit for creation of robotic kitchen News

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Japanese electronics giant Sony launched a new artificial intelligence unit it hopes will change the way we cook and eat. The new research arm, Sony AI, will operate in Japan, Europe and the United States and will also focus on the traditional areas of gaming, imaging and sensor equipment, as well as "gastronomy". The firm that produced the PlayStation franchise and the Spider-man movie series is the latest multinational tech company wanting a piece of the pie in the food business, where data is increasingly driving new dishes to pique the palate. "AI and robotics will not replace chefs. We are aiming to offer new tools to expand their creativity with AI and robotics," Sony spokesman Shinichi Tobe said on Wednesday.


NHS staff fear 'big tech' firms analysing patient data

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A YouGov poll of 1,027 healthcare professionals, commissioned by Sensyne Health, found that 81% support analysing patient data to enable quicker diagnosis and more effective treatments while 71% believe this analysis can help solve some of the greatest healthcare challenges in the UK, such as cardiovascular disease. However, just 12% of NHS staff and private healthcare workers said they would be comfortable with a multinational'big tech' company which pays little tax in the UK carrying the analysis out. Only 17% said they would trust multinational'big tech' companies to handle the data in a confidential manner. In comparison, 80% believe the UK should have a domestic capability in Artificial Intelligence and health data analysis so it doesn't need to be outsourced to other countries or multinational companies. More than eight in 10 (85%) say the NHS should receive a fair share of any financial gains made from subsequent medical discoveries, with 87% explicitly calling on the Government to step in and ensure that both the NHS and UK taxpayers benefit from discoveries and gains resulting from any analysis. The findings also highlight the significant benefits that anonymised analysis and data-driven technology can bring โ€“ from reducing workloads for doctors and nurses, to helping patients better manage their conditions.


Financial services executives 'drowning in data'

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Nearly three quarters of global financial services executives have admitted they are challenged by the fractured nature and vast amount of data available. The Aite Group surveyed 682 marketing and risk executives at financial institutions across five countries during the third quarter, finding that in the UK alone, 71 per cent of executives said they were challenged by the immense amount of data they have. The study found that the proliferation of artificial intelligence (AI) and machine learning (ML) is expected to continue over the next 24 months, with 68 per cent of UK executives - and three in four globally - considering integrating new analytics technology into their platforms. "Most financial institutions lack a single, cohesive analytics platform," said Tiffani Montez, senior analyst at Aite Group. "Firms may have vastly different data repositories and teams managing analytics functions, often leading to multiple approaches - by line of business, role and channel - across their institutions.


Global AI Survey: AI proves its worth, but few scale impact

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Adoption of artificial intelligence (AI) continues to increase, and the technology is generating returns. 1 1. We define artificial intelligence (AI) as the ability of a machine to perform cognitive functions that we associate with human minds (such as perceiving, reasoning, learning, and problem solving) and to perform physical tasks using cognitive functions (for example, physical robotics, autonomous driving, and manufacturing work). The findings of the latest McKinsey Global Survey on the subject show a nearly 25 percent year-over-year increase in the use of AI 2 2. We define AI use in standard business processes as embedded AI in at least one product or business process for at least one function or business unit. The online survey was in the field from March 26 to April 5, 2019, and garnered responses from 2,360 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of these respondents, 1,872 work at companies they say have piloted AI in at least one function or business unit, embedded at least one AI capability in at least one product or business process for at least one function or business unit, or embedded at least one AI capability in products or business processes across multiple functions or business units.


Montrรฉal.AI Academy: AI 101

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"(AI) will rank among our greatest technological achievements, and everyone deserves to play a role in shaping it." Encompassing all facets of AI, the General Secretariat of MONTREAL.AI introduces, with authority and insider knowledge: "Artificial Intelligence 101: The First World-Class Overview of AI for the General Public". AI opens up a world of new possibilities. This AI 101 tutorial harnesses the fundamentals of artificial intelligence for the purpose of providing participants with powerful AI tools to learn, deploy and scale AI. Theoretical Physics in 1 (one) year, followed by a Master's degree in Government Policy Analysis (1998) and a Master's degree in Aerospace Engineering (Space Technology) (2000).


Gartner Top Strategic Predictions for 2020 and Beyond

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In Japan, one restaurant is exploring artificial intelligence (AI) robotics technology to enable paralyzed employees to remotely pilot robotic waiters. JPMorgan Chase, Microsoft and Ford are hosting virtual career fairs tailored to the needs of neurodiverse candidates. Enterprise Rent-A-Car integrated braille-reader technology into its reservations system for blind employees. Using AI to increase accessibility at work is one of the Gartner Top 10 strategic predictions for 2020 and beyond. The predictions examine how technology is changing the definition of what it means to be human, and IT leaders must be prepared to adapt in a changing environment.


Tookitaki raises $11.7 million more for AI-driven financial regulatory compliance tools

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Ensuring regulatory compliance can be expensive for financial services companies. In fact, the average cost nearly doubled from $16 million to $30.9 million between 2011 and 2017, according to one survey. And it's tough for most to keep up -- in 2017, over 900 agencies together issued over 200 regulatory updates each day, on average. Companies like Tookitaki aim to ease the regulatory burden through AI-imbued software. The Singapore-based startup, which was cofounded by J.P. Morgan veteran Abhishek Chatterjee and Jeeta Bandopadhyay, taps machine learning and distributed systems to tackle compliance for anti-money laundering, reconciliation, and more.


Embracing and managing AI in the eye care workplace

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AI solutions company Visulytix* has developed an eye care analysis tool that is being rolled out to selected institutions around the world โ€“ both for clinical use and to support investigational studies. The long-anticipated benefits of AI will surely be a game changer for the screening and care of conditions such as glaucoma, age-related macular degeneration and diabetic retinopathy (conditions that, collectively, affect 500 million people worldwide), but how can AI systems be successfully managed? Whilst such systems are likely to attract much fanfare, they must be evaluated quantitatively, as well as for their ability to work'out of the box' and in diverse clinical environments. Eye care professionals such as ophthalmologists and optometrists will be required to embrace the technology and understand, at least at a general level, some of the technical and statistical terms that may be used in product documentation and performance. These include such terminology as sensitivity, specificity and accuracy.


No, AI is not for social good

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Faced with the public furor over problems with artificial intelligence, tech companies and researchers would now have us believe that the big fix for those problems is to develop AI for social good. This proposal is not new; it's the latest in a long line of bold, mostly overreaching claims about technology's capability to do social good. In his 2012 book The Master Switch, Tim Wu makes the case that, in the beginning, television was supposed to change the world by making information freely available. In the '90s, tele-centers were supposed to transform education in developing countries. During the Arab Spring, we heard that social media was the loudspeaker of democracy.