AI News Tuesday, May 8 Quadrant, Quadrant solutions, Commercial drone pilots & more…

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What’s new?

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D-Wave Launches Quadrant Business Unit for Machine Learning – insideHPC

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  • Today D-Wave Systems launch its new Quadrant business unit, formed to provide machine learning services that make state-of-the-art deep learning accessible to companies across a wide range of industries and application areas.
  • Quadrants algorithms enable accurate discriminative learning (predicting outputs from inputs) using less data by constructing generative models which jointly model both inputs and outputs.
  • Arising from research into the application of quantum computing to machine learning, Quadrant solutions provide world-leading performance across a number of generative and discriminative benchmark problems.
  • Siemens Healthineers and D-Wave took first place in the CATARACTS medical imaging grand challenge, using Quadrants generative machine learning algorithms to identify surgical instruments in videos with high accuracy.
  • Designed to be used with D-Waves quantum technology, Quadrant solutions run today on standard GPU-based systems, allowing businesses to leverage generative machine learning immediately.

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EASA To Make Drone License Mandatory For Hobby Pilots

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  • EASA To Make Drone License Mandatory For HobbyPilotsThe European Aviation Safety Agency (EASA) is coming up with a law thatll require hobbyist and commercial drone pilots to acquire license before taking the drone flights.
  • The pilots have to sit for internet-based course and on the successful completion of the course will be provided with drone license.
  • According to Bundesamt fur Zivilluftfahrt (BAZL), the Swiss Federal Office of Civil Aviation, Switzerland and EU will apply these laws.
  • You ought to learn, where and how high you are allowed to fly your drone or what influence temperature and wind can have, stated BAZL communications Chief Urs Holderegger.
  • For the professional drone pilots the exam question will be a bit difficult as compared to the regular pilots.

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Meet Seeker Drone- Designed To Clear Landmine Areas

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  • Seeker drone from RadioPlane fitted with a metal detector can fly autonomously and help clear areas of landmines.
  • Source: – About DEEPAERO – DEEP AERO is a global leader in drone technology innovation.
  • At DEEP AERO, we are building an autonomous drone economy powered by AI Blockchain.
  • DEEP AEROs DRONE-UTM is an AI-driven, autonomous, self-governing, intelligent drone/unmanned aircraft system (UAS) traffic management (UTM) platform on the Blockchain.
  • These platforms will be the foundation of the drone economy and will be powered by the DEEP AERO (DRONE) token.

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Automated authors: humanising B2B content in an artificial world

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  • What impact will machine learning have on the content marketing industry?
  • If machine learning can compile financial reports, the next logical step must be content marketing.
  • Emotion and relatability are such important qualities in a piece of content marketing because the audience youre writing for is unequivocally human (even Googles algorithms are striving to behave like actual readers).
  • Content marketing automation allows human copywriters to produce valuable, insightful content in a shorter timeframe.
  • At Articulate, we use a range of writing tools to help optimise our online content, but we never sacrifice the human quality of our work.

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AI Could Kill 2.5 Million Financial Jobs—And Save Banks $1 Trillion

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  • Over the next 15 years, AI will take even more of these types of jobs, according to research firm Autonomouss new report .
  • On the one hand, specialized hardware has increased processing power, making it possible for AI systems to generate outputs in real time.
  • In financial services, AIs impact on jobs is likely to be particularly dire for certain categories of employees.
  • Sokolin projects that by 2030, AI implementation could save U.S.-based financial services companies $1 trillion through productivity gains and reduced head count.
  • In Sokolins view, AI will drive gradual change over the next seven years, and then accelerated change between 2025 and 2030.

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