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Artificial Intelligence System can now help in land use classification

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Land Classification plays an important role in providing information about land cover, land usage and how a particular barren patch of land can be utilized for crop production. Land use classification is a complex process for various countries. In Switzerland it is difficult to track land use classification as the aerial photos of land are manually classified to ascertain which part of land can be used for specific crop cultivation. It is even more difficult to assess soil permeability and soil type. There are 40 different categories of land in Switzerland in which the photos are classified.


pmmagazine.net 💬

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For most project portfolio professionals, the term robotic project management conjures discussion of the rise of cloud solutions, Internet of Things (IoT), artificial intelligence (AI), 5G mobile internet and voice-driven software that will of course indelibly change and improve project management delivery through the use of predictive and data-driven project portfolio management tools. However, hardly anyone ever talks about the dark side of robotic project management. That is, when project management becomes template-driven, documentation heavy and cumbersome rather than focused on the minimum information and evidence required by the commissioning organisation and the accountable officer of the project business case to make continued informed decisions. Sure project management templates have their place to enable consistency across an organisation but project information must always suit the needs of the project based on its unique characteristics in terms of its size, risk, complexity and the organisational environment in which it is being governed, managed and reported. What's often forgotten is that there is no global industry best practice project management methodology that tells Portfolio, Programme and Project Management Offices (PMOs) and project managers alike that project management, governance and boundary products are documents or templates.


Real-Time Machine Learning: Why It's Vital and How to Do It « Machine Learning Times

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This article is sponsored by IBM. SUMMARY: Organizations often miss the greatest opportunities that machine learning has to offer because tapping them requires real-time predictive scoring. In order to optimize the very largest-scale processes – which is a vital endeavor for your business – predictive scoring must take place right at the moment of each and every interaction. The good news is that you probably already have the hardware to handle this endeavor: the same system currently running your high-volume transactions – oftentimes a mainframe. But getting this done requires a specialized leadership practice and strong-willed change management. Heed this warning: The greatest opportunities with machine learning are exactly the ones that your business is most likely to miss. To be specific, there's massive potential for real-time predictive scoring to optimize your largest-scale operations. But with these particularly high stakes comes a tragic case of analysis paralysis.


A unique collaboration with US Special Operations Command

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When General Richard D. Clarke, commander of the U.S. Special Operations Command (USSOCOM), visited MIT in fall 2019, he had artificial intelligence on the mind. As the commander of a military organization tasked with advancing U.S. policy objectives as well as predicting and mitigating future security threats, he knew that the acceleration and proliferation of artificial intelligence technologies worldwide would change the landscape on which USSOCOM would have to act. Clarke met with Anantha P. Chandrakasan, dean of the School of Engineering and the Vannevar Bush Professor of Electrical Engineering and Computer Science, and after touring multiple labs both agreed that MIT -- as a hub for AI innovation -- would be an ideal institution to help USSOCOM rise to the challenge. Thus, a new collaboration between the MIT School of Engineering, MIT Professional Education, and USSOCOM was born: a six-week AI and machine learning crash course designed for special operations personnel. "There has been tremendous growth in the fields of computing and artificial intelligence over the past few years," says Chandrakasan.


'Minecraft' is getting Sonic the Hedgehog DLC

Engadget

Not content to be merely a Hollywood movie star, Sega's Sonic is making his way to Minecraft. Just in time for the hedgehog's 30th birthday on June 23rd, Mojang is releasing Sonic-themed DLC for its immensely popular sandbox title. The downloadable content includes a bit of everything. Fan-favorite Sonic levels like the Green Hills Zone have gotten a blocky makeover, turning them into infinite runners you can play through with your friends. Naturally, they'll be rings along the way for you and your buddies to collect as you race one another.


How to catch up on Metroid, the classic series shunned by Nintendo

Washington Post - Technology News

If you're new to the series, I would not recommend playing the Nintendo original, available free as long as you're a paying Nintendo Switch online subscriber. While it was a milestone, it hasn't aged as well as Nintendo's other titles, like the first Mario or Zelda games. If you insist on starting in chronological order, then you should hunt down the 2004 remake for the Game Boy Advance, "Metroid: Zero Mission." Without a Game Boy Advance, you can buy the game off the Wii U shop. "Zero Mission" is a reimagining and streamlining of the first game, and has become a staple in speedrunning competitions over the years, thanks to many deliberate new design changes.


Council Post: The New Normal: Reimagine The Transformation Of Industries With AI

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Just a decade ago, you would gloss through a TV Guide or ask a friend to recommend a new series worth watching. Cut to today; Over-the-top (OTT) platforms are equipped with a lot more data mining and understanding of viewers' preferences to make personalized show recommendations. AI-led recommendation engines have truly revolutionized how we consume content, and OTT is not the only segment that has undergone such a transformation. With its far-reaching impact across industry segments, AI has unleashed the Fourth Industrial Revolution and is changing business processes as well as how industries reimagine their customer's preferences. Many AI companies have been at the forefront of this transformation, making an impact on clients' businesses and processes.


EU privacy watchdogs call for ban on facial recognition in public spaces

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BRUSSELS: Europe's two privacy watchdogs teamed up on Monday (Jun 21) to call for a ban on the use of facial recognition in public spaces, going against draft European Union rules which would allow the technology to be used for public security reasons. The European Commission in April proposed rules on artificial intelligence, including a ban on most surveillance, in a bid to set global standards for a key technology dominated by China and the United States. The proposal does allow high-risk AI applications to be used in areas such as migration and law enforcement, though it laid out strict safeguards, with the threat of fines of as much as 6per cent of a company's global turnover for breaches. The proposal needs to be negotiated with EU countries and the bloc's lawmakers before it becomes law. The two privacy agencies, the European Data Protection Board (EDPB) and European Data Protection Supervisor (EDPS), warned of the extremely high risks posed by remote biometric identification of individuals in public areas.


Artificial Neural Network is Revolutionizing The Future of the Translation Industry

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Do you know that a full-time working translator can translate approximately 520,000 words per year? There would be no wrong in saying that the translation industry has existed for centuries and will progress in double digits in the upcoming years. Because digital realms continuously push for more shared and globalized experiences, the current worth of the global translation industry is $56.1 billion, and the figure is expected to increase at a swift pace in upcoming years. The number is projected to surpass $70 billion by the year 2023. It's been more than 10 years since the launch of Google translate by utilizing phase-based machine translation algorithms.