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Seeds of Inspiration: Sudan's First Flying Robot Farmer

Al Jazeera

Hatem and Mohammed are obsessed with drones and robots. Determined to stop the desert from swallowing up their country, the two Sudanese inventors decide to take part in a television competition for inventors to raise awareness and investment in their dream - Sudan's first and only agricultural drone company. Although isolated by international sanctions and frustrated by a failing economy, the pair succeed in building Sudan's first flying robot farmer. Their drone can plant trees, increase harvests and reduce crop damage. And they are bound by their shared belief that Africa can change its destiny with technology.


Artificial Intelligence technology made available to SMEs with KanKan - Get in the Ring

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What started of as a small Chinese big data startup, soon grew into a full data-intelligence service company listed among the top 10 in China. Data intelligence features Alibaba and other market leaders are offering, are often to expensive and complex for small to medium size businesses. This is exactly what KanKan, a US NASDAQ โ€“ listed Remark Holdings ("MARK") โ€“ subsidiary, sees as their opportunity. Their offerings are especially targeted towards SMEs, making their AI technology easy to use and very customisable.


Modern Rounded Human Brains An Evolutionary Step Less Than 100,000 Years Old

International Business Times

What sets humans apart from other species, despite all the biological and genetic similarities, is our brains. But it turns out that the brain of a Homo sapiens who lived about 100,000 years ago was actually differently shaped, compared to ours. The earliest-known specimen of a Homo sapiens is from about 300,000 years ago, and it was discovered at a site in present-day Morocco. The Jebel Irhoud fossil had a modern-looking face that fell within the variations shown by modern humans and was therefore categorized as one. However, even at the time of its discovery's announcement in June 2017, researchers said the shape of its braincase, or cranium, indicated that the human brain had evolved since.


Next generation of robots crawl, run, fly into the real world

#artificialintelligence

On a visit to one Harvard robotics lab, the sewing machines stand out, while the head of another explains how and why lab members are studying termites in Namibia. Welcome to the new age of machines, in which scientists with seemingly disparate talents are using cutting-edge materials, cheap sensors, 3-D printing, and powerful computers to accelerate advances in robotics. Prior innovations transformed the factory and warehouse, but those robots work best in controlled environments, usually out of public view. For researchers at Harvard and elsewhere, one new target is Main Street. "We were promised these things by sci-fi for 50 years," said Robert Wood, Charles River Professor of Engineering and Applied Sciences.


Machine learning to accelerate business growth in 2018

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Enterprise machine learning pilots and deployments are expected to double this year and smartphone adoption will continue to experience a significant increase. This is according to Deloitte Global's 17th edition of the Technology, Media & Telecommunications (TMT) Predictions research. The report predicts that global organisations will double their use of machine learning technology by the end of 2018 and smartphone sales are expected to double, with more than 90% of adults in developed countries expected to have a smartphone by the end of 2023. Enterprise machine learning pilots and deployments are predicted to double this year. TMT predictions highlights some key areas that Deloitte Global believes will unlock more intensive use of machine learning in the enterprise by making it easier, cheaper and faster.


Enterprises increasingly looking to machine learning โ€“ Deloitte

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Deloitte's yearly'Technology, Media and Telecommunications (TMT) Predictions' report has forecast major strides in machine learning for enterprises this year. The report predicts a doubling of the number of enterprise machine learning pilots and deployments this year and, subsequently, the use of machine learning technology, underpinned by new chips and better software tools. "We have reached the tipping point where adoption of machine learning in the enterprise is poised to accelerate," said Deloitte Global Media and Entertainment and TMT Africa Leader Mark Casey. Easier, cheaper and faster elements will start moulding the more intensive use of machine learning in the enterprise, with growth emerging from new semiconductor chips that enable applications to use less power and become more responsive, flexible and capable. The TMT Predictions report also highlighted the growth of smartphone adoption, with more than 90% of adults in developed countries expected to own a smartphone by 2023, as well as the rising trend in mobile-only wireless home Internet.


AI The Epicenter of eCommerce

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Global e-commerce activity is expanding fast with developing economies gaining prominence. E-Commerce: Payments through mobile, internet and cards โ€“ This has vastly transformed the way of doing business in the modern day. We all have come across or most likely heard of artificial intelligence in some or the other form unless some of us been burrowed deep underground for the last couple of years. Customer segmentation became essential and first priority and super easy with AI to identify systematic groups of customers to make marketing more precise. In our todays online shopping how much is artificial intelligence.


Machine learning set to jump-start growth

#artificialintelligence

Deloitte Global forecasts major strides in machine learning for the enterprise, a worldwide appetite for digital subscriptions among consumers, and ongoing smartphone dominance โ€“ along with eight additional predictions.Among the findings of the 17th edition of the Technology, Media & Telecommunications (TMT) Predictions are indications that business organisations will double their use of machine learning technology by the end of 2018. TMT Predictions highlights five key areas that Deloitte Global believes will unlock more intensive use of machine learning in the enterprise by making it easier, cheaper and faster. The most important key area is the growth in new semiconductor chips that will increase the use of machine learning, enabling applications to use less power, and at the same time become more responsive, flexible and capable. "We have reached the tipping point where adoption of machine learning in the enterprise is poised to accelerate," says Mark Casey, Deloitte global media & entertainment & TMT Africa leader. TMT Predictions includes a number of consumer forecasts as well.


2018 UK software budgets double for AI and blockchain

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Artificial intelligence and blockchain initiatives have emerged as critical new areas of focus for IT systems buyers in the UK, and across Europe, the Middle East and Africa (Emea), in the Computer Weekly/TechTarget IT Priorities survey for 2018. Discover how organisations are going about their BI and analytics on the newer data stores. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered.


What Can We Learn From the Prolific Isaac Asimov?

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To learn is to broaden, to experience more, to snatch new aspects of life for yourself. To refuse to learn or to be relieved at not having to learn is to commit a form of suicide; in the long run, a more meaningful type of suicide than the mere ending of physical life. Knowledge is not only power; it is happiness, and being taught is the intellectual analog of being loved. Fans estimate that the erudite polymath Isaac Asimov authored nearly 500 full-length books during his life. Even if some that "don't count" are removed from the list -- anthologies he edited, short science books he wrote for young people and so on -- Asimov's output still reaches into the many hundreds of titles.