Information Technology


The Next Tsunami AI Blockchain IOT and Our Swarm Evolutionary Singula…

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The Next Tsunami AI, Blockchain, IOT, and Our Swarm Evolutionary Singularity @DinisGuarda - Founder and CEO 2. AI is going to change everything? This concept is employed in work on artificial intelligence and needs to be taken in consideration as we evolve with AI and tech. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. In this complex ecosystem what is our human singularity? What is creativity in a digitalised, blockchain, nano technology - IoT AI evolutionary swarm world?


Will Development Eventually Make Itself Obsolete? - ReadWrite

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Nearly a decade has passed since renowned venture capitalist Marc Andreessen famously declared that "software is eating the world." The subsequent years have proven his observation was a prescient one, and the software developers driving this phenomenon have risen to the top of the proverbial food chain. Now, however, it's becoming increasingly clear that they, too, are on the menu. Will development eventually make itself obsolete? The ever-increasing technological capability has forced workers in nearly every industry and sector -- engineering, government, insurance, manufacturing, and many others -- to grapple with the prospect that they might soon be made obsolete.


Let's get phygital: Most disruptive tech of 2020

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Tech service provider NTT released a report on Monday outlining the top digital disruption predictions for 2020. In the report, NTT CTO Ettienne Reinecke highlighted five specific disruptive technologies expected to impact 2020. After gathering global insights on intelligent tech solutions from clients, NTT experts determined the future's most impactful disruptive technologies. Gartner's IT glossary defines digital disruption as "an effect that changes the fundamental expectations and behaviors in a culture, market, industry or process that is caused by, or expressed through, digital capabilities, channels or assets." SEE: Digital transformation: An IT pro's guide (free PDF) (TechRepublic) While the word disruption may have a negative connotation, digital disruption is a positive movement for the tech world.


6 Unexpected Uses for Artificial Intelligence

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There is no question that Artificial Intelligence is a transformative technology – so much so that we can't even begin to imagine the impact it will have in the next five, ten, or even twenty years. At the same time, AI is already being used in innovative and unexpected ways across a variety of industries. Bees perform an important ecological function, especially for farmers who rely on pollination to germinate crops. As the bee population continues to decline, scientists have looked for ways to mimic the important work that the insects do – and one solution they've found is to create robot bees (robot drones to replace real drones!) that are equipped with cameras, GPS, and Artificial Intelligence. This potent combination of hardware and software allows these robots to determine where crops are located, and pollinate them accordingly.


With FarmBeats, Microsoft makes a play for the agriculture market

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Between 2013 and 2016, U.S. farmers and ranchers weathered a 45% dip in net farm income -- the largest since the Great Depression -- while the number of mouths to feed grew sharply by the day. The global population is expected to increase by 2.2 billion by 2050, and the world's farmers will have to grow about 70% more food than is now produced. If you ask Microsoft, the solution lies in technology. The tech giant's FarmBeats program, which launched in preview today on Azure Marketplace ahead of Ignite 2019, is a multi-year effort to bring robust data analytics to the agriculture sector. With a backend built on Azure and compatibility with hardware from a range of top manufacturers, it aims to promote what Ranveer Chandra, FarmBeats project lead and chief scientist at Azure Global, calls "data-driven" farming techniques.


Top 10 Machine Learning Jobs In Israel

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Israel today is one of the most technologically-forward countries. Over the years the nation has not only strengthened its cybersecurity and other tech arms but also its data science domain. If you are planning to bet big by taking your data science journey outside India, then you should definitely take a look at these jobs. Part of Booking Holdings Inc., Booking.com is one of the largest travel e-commerce companies in the world. The company is currently hiring a data scientist for machine learning to join the company's Tel Aviv machine learning centre.


Industrial AI is helping the Indian startup industry build a name beyond e-commerce

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In the early 1980s, presentations about Infosys began with the founders' pointing out India and Bengaluru on a world map. Today, globally listed companies such as Dr Reddy's, Tata Motors, and Reliance Industries have made that redundant. The country is also the third-largest startup nation. A number of its business-to-consumer (B2C) ventures, from e-commerce major Flipkart to ride-sharing platform Ola, are known across the world. Now, a new wave of business-to-business (B2B) startups in niche segments is silently creating a significant impact globally.


Blog Detail Strategic Systems International

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In our recent blog about 5G, we were sure the advent of 5G "will impact the IoT space dramatically". So here is more on why 5G is being seen as a further catalyst for the IoT industry. The June 2019 edition of the Ericsson Mobility Report forecasts 1.9 billion 5G subscriptions which mean IoT is likely to reach its full potential as 5G becomes its enabler. As there is a surge expected in the number of IoT devices within households (for increased security), 5G will accommodate these devices from close range to long distance, at unmatched speeds while maintaining unbelievable data rates. In the industrial space, 5G will facilitate wireless sensors deployment throughout factories/storage units along with smarter robots, ensuring a seamless transition from hierarchal network design toward a connected one.


Smart cities

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Streets swamped by muddy water with garbage floating by, roads impassable. As in previous years, Diamniadio Lake City has not escaped the series of floods that affect some cities in Senegal each rainy season. Indeed, this urban centre is preparing to test, thanks to Artificial Intelligence (AI), a new way of managing urban development. "By taking the Digital Technologies Park of Diamniadio as a reference site, we have carried out modelling and worked on water runoff scenarios in order to channel them and solve these flood problems," Bassirou Abdoul Ba, coordinator of the Digital Technologies Park, told Scidev.Net. This park, covering 25 hectares, is the first experimental phase of the "smart city" under construction 35km from Dakar, the Senegalese capital.


New approach needed for defining AI standards in cybersecurity, say Oxford academics

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Leading experts in cybersecurity and ethics from Oxford Internet Institute, University of Oxford, Dr Mariarosaria Taddeo and Professor Luciano Floridi, and Professor Tom McCutcheon from Defence Science and Technology Laboratories believe the current approach to defining standards and certification procedures for Artificial Intelligence (AI) systems in cybersecurity is risky and should be replaced with an alternative method. Their new paper "Trusting Artificial Intelligence in Cybersecurity: a Double-Edged Sword", published in the journal Nature Machine Intelligence argues that defining standards based on placing implicit trust in AI systems to perform as expected, without any degree of any monitoring or control, could leave us at risk of new forms of AI attacks, disrupting systems and changing their behaviour. Current'trust' based standards and certification procedures in AI typically see tasks being carried out with either no or minimal control on the way the AI-driven tasks are performed. In their paper, the cybersecurity experts present the case for developing'reliable' rather than trustworthy AI in cybersecurity. The experts argue that reliable AI has greater potential to ensure the successful deployment of AI systems for cybersecurity tasks, making them less vulnerable to cyber-attacks.