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    A dream doesn't become reality through magic; it takes sweat, determination and hard work and at flewup one of our dream was to pluck coconuts using smartphones and tablet computers.And finally flewro technology is the result of this dream

    From our Blog

    Upcoming technologies in artificial intelligence

    19 Artificial Intelligence Technologies That Will Dominate In 2018 

    1. Natural Language Generation Natural language generation is an AI sub-discipline that converts data into text, enabling computers to communicate ideas with perfect accuracy. It is used in customer service to generate reports and market summaries and is offered by companies like Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, and Yseop.

     2. Speech recognition Siri is just one of the systems that can understand you. Every day, more and more systems are created that can transcribe human language, reaching hundreds of thousands through voice-response interactive systems and mobile apps. tecnologías-inteligencia-artificial-adext-ai-4.jpg Companies offering speech recognition services include NICE, Nuance Communications, OpenText and Verint Systems.

     3. Virtual Agents A virtual agent is nothing more than a computer agent or program capable of interacting with humans. The most common example of this kind of technology are chatbots. Virtual agents are currently being used for customer service and support and as smart home managers. artificial-intelligence-technologies-chatbots Some of the companies that provide virtual agents include Amazon, Apple, Artificial Solutions, Assist AI, Creative Virtual, Google, IBM, IPsoft, Microsoft and Satisfi.

     4. Machine Learning Platforms These days, computers can also easily learn, and they can be incredibly intelligent! Machine learning (ML) is a subdiscipline of computer science and a branch of AI. Its goal is to develop techniques that allow computers to learn. By providing algorithms, APIs (application programming interface), development and training tools, big data, applications and other machines, ML platforms are gaining more and more traction every day. They are currently mainly being used for prediction and classification. Some of the companies selling ML platforms include Amazon, Fractal Analytics, Google, H2O.ai, Microsoft, SAS, Skytree and Adext. This last one is particularly interesting for one simple reason: Adext is the first and only AMaaS (Audience Management as a Service) in the world that applies real AI and machine learning to digital advertising to find the most profitable audience or demographic group for any ad. You can learn more about it here. tecnologia-inteligencia-artificial-adext.png

     5. AI-Optimized Hardware AI technology makes hardware much friendlier. How? Through new graphic and central processing units and processing devices specifically designed and structured to execute AI-oriented tasks. And if you haven’t seen them already, expect the imminent appearance and wide acceptance of AI-optimized silicon chips that can be inserted right into your portable devices and elsewhere. You can get access to this technology through Alluviate, Cray, Google, IBM, Intel, and Nvidia.

     6. Decision Management Intelligent machines are capable of introducing rules and logic to AI systems so you can use them for initial setup/training, ongoing maintenance, and tuning. artificial-intelligence-technologies-decision-management Decision management has already been incorporated into a variety of corporate applications to assist and execute automated decision, making your business as profitable as possible. Check out Advanced Systems Concepts, Informatica, Maana, Pegasystems, and UiPath for additional options.

     7. Deep Learning Platforms Deep learning platforms use a unique form of ML that involves artificial neural circuits with various abstraction layers that can mimic the human brain, processing data and creating patterns for decision making. It is currently mainly being used to recognize patterns and classify applications that are only compatible with large-scale data sets. Deep Instinct, Ersatz Labs, Fluid AI, MathWorks, Peltarion, Saffron Technology and Sentient Technologies all have deep learning options worthy of exploring.

    8. Biometrics This technology can identify, measure and analyze human behavior and physical aspects of the body’s structure and form. artificial-intelligence-technologies-image-recognition It allows for more natural interactions between humans and machines, including interactions related to touch, image, speech and body language recognition, and is big within the market research field. 3VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera and Tahzoo are all biometrics companies working hard to develop this area.

     9. Robotic Processes Automation Robotic processes automation uses scripts and methods that mimic and automate human tasks to support corporate processes. It is particularly useful for situations when hiring humans for a specific job or task is too expensive or inefficient. The good example is Adext, a platform that automates digital advertising processes using AI, saving businesses from devoting hours to mechanical and repetitive tasks. Cómo complementar tu estrategia de marketing digital con ADEXT.png It’s a solution that lets you make the most of your human talent and move employees into more strategic and creative positions, so their actions can really make an impact on the company's growth. Advanced Systems Concepts, Automation Anywhere, Blue Prism, UiPath, and WorkFusion are other examples of robotic processes automation companies.

    10. Text Analytics & NLP (Natural Language Processing) This technology uses text analytics to understand the structure of sentences, as well as their meaning and intention, through statistical methods and ML. Text analytics and NLP are currently being used for security systems and fraud detection. They are also being used by a vast array of automated assistants and apps to extract unstructured data. Some of the service providers and suppliers of these technologies include Basis Technology, Coveo, Expert System, Indico, Knime, Lexalytics, Linguamatics, Mindbreeze, Sinequa, Stratifyd, and Synapsify.

     11. Digital Twin/AI Modeling A digital twin is a software construct that bridges the gap between physical systems and the digital world. General Electric (GE), for example, is building an AI workforce to monitor its aircraft engines, locomotives and gas turbines and predict failures with cloud-hosted software models of GE’s machines. Their digital twins are mainly lines of software code, but the most elaborate versions look like 3-D computer-aided design drawings full of interactive charts, diagrams, and data points. Companies using digital twin and AI modeling technologies include VEERUM, in the capital project delivery space; Akselos, which is using it to protect critical infrastructure, and Supply Dynamics, which has developed a SaaS solution to manage raw material sourcing in complex, highly distributed manufacturing environments.

     12. Cyber Defense artificial-intelligence-technologies-ciberdefense Cyber defense is a computer network defense mechanism that focuses on preventing, detecting and providing timely responses to attacks or threats to infrastructure and information. AI and ML are now being used to move cyberdefense into a new evolutionary phase in response to an increasingly hostile environment: Breach Level Index detected a total of over 2 billion breached records during 2017. Seventy-six percent of the records in the survey were lost accidentally, and 69% were an identity theft type of breach. Recurrent neural networks, which are capable of processing sequences of inputs, can be used in combination with ML techniques to create supervised learning technologies, which uncover suspicious user activity and detect up to 85% of all cyber attacks. Startups such as Darktrace, which pairs behavioral analytics with advanced mathematics to automatically detect abnormal behavior within organizations and Cylance, which applies AI algorithms to stop malware and mitigate damage from zero-day attacks, are both working in the area of AI-powered cyber defense. DeepInstinct, another cyber defense company, is a deep learning project named “Most Disruptive Startup” by Nvidia’s Silicon Valley ceremony, protects enterprises' endpoints, servers, and mobile devices.

    13. Compliance Compliance is the certification or confirmation that a person or organization meets the requirements of accepted practices, legislation, rules and regulations, standards or the terms of a contract, and there is a significant industry that upholds it. We are now seeing the first wave of regulatory compliance solutions that use AI to deliver efficiency through automation and comprehensive risk coverage. Some examples of AI’s use in compliance are showing up across the world. For example, NLP (Natural Language Processing) solutions can scan regulatory text and match its patterns with a cluster of keywords to identify the changes that are relevant to an organization. Capital stress testing solutions with predictive analytics and scenario builders can help organizations stay compliant with regulatory capital requirements. And the volume of transaction activities flagged as potential examples of money laundering can be reduced as deep learning is used to apply increasingly sophisticated business rules to each one. Companies working in this area include Compliance.ai, a Retch company that matches regulatory documents to a corresponding business function; Merlon Intelligence, a global compliance technology company that supports the financial services industry to combat financial crimes, and Socure, whose patented predictive analytics platform boosts customer acceptance rates while reducing fraud and manual reviews.

     14. Knowledge Worker Aid While some are rightfully concerned about AI replacing people in the workplace, let’s not forget that AI technology also has the potential to vastly help employees in their work, especially those in knowledge work. In fact, the automation of knowledge work has been listed as the #2 most disruptive emerging tech trend. The medical and legal professions, which are heavily reliant on knowledge workers, is where workers will increasingly use AI as a diagnostic tool. artificial-intelligence-technologies-medicine There is an increasing number of companies working on technologies in this area. Kim Technologies, whose aim is to empower knowledge workers who have little to no IT programming experience with the tools to create new workflow and document processes with the help of AI, is one of them. Kyndi is another, whose platform is designed to help knowledge workers process vast amounts of information.

     15. Content Creation Content creation now includes any material people contribute to the online world, such as videos, ads, blog posts, white papers, infographics and other visual or written assets. Brands like USA Today, Hearst and CBS, are already using AI to generate their content. Wibbitz, a SaaS tool that helps publishers create videos from written content in minutes with AI video production technology, is a great example of a solution from this field. Wordsmith is another tool, created by Automated Insights, that applies NLP (Natural Language Processing) to generate news stories based on earnings data.

    16. Peer-to-Peer Networks Peer-to-peer networks, in their purest form, are created when two or more PCs connect and share resources without the data going through a server computer. But peer-to-peer networks are also used by cryptocurrencies, and have the potential to even solve some of the world’s most challenging problems, by collecting and analyzing large amounts of data, says Ben Hartman, CEO of Bet Capital LLC, to Entrepreneur. artificial-intelligence-technologies-peer-to-peer Nano Vision, a startup that rewards users with cryptocurrency for their molecular data, aims to change the way we approach threats to human health, such as superbugs, infectious diseases, and cancer, among others. Another player utilizing peer-to-peer networks and AI is Presearch, a decentralized search engine that’s powered by the community and rewards members with tokens for a more transparent search system.

     17. Emotion Recognition This technology allows software to “read” the emotions on a human face using advanced image processing or audio data processing. We are now at the point where we can capture “micro-expressions,” or subtle body language cues, and vocal intonation that betrays a person’s feelings. Law enforcers can use this technology to try to detect more information about someone during interrogation. But it also has a wide range of applications for marketers. There are increasing numbers of startups working in this area. Beyond Verbal analyzes audio inputs to describe a person’s character traits, including how positive, how excited, angry or moody they are. nViso uses emotion video analytics to inspire new product ideas, identify upgrades and enhance the consumer experience. And Affectiva’s Emotion AI is used in the gaming, automotive, robotics, education, healthcare industries, and other fields, to apply facial coding and emotion analytics from face and voice data.

     18. Image Recognition Image recognition is the process of identifying and detecting an object or feature in a digital image or video, and AI is increasingly being stacked on top of this technology to great effect. artificial-intelligence-technologies-facial-recognition AI can search social media platforms for photos and compare them to a wide range of data sets to decide which ones are most relevant during image searches. Image recognition technology can also be used to detect license plates, diagnose disease, analyze clients and their opinions and verify users based on their face. Clarifai provides image recognition systems for customers to detect near-duplicates and find similar uncategorized images. SenseTime is one of the leaders in this industry and develops face recognition technology that can be applied to payment and picture analysis for bank card verification and other applications. And GumGum’s mission is to unlock the value of images and videos produced across the web using AI technology.

    19. Marketing Automation Marketing divisions have benefitted so much from AI so far, and there is great faith placed in AI within this industry for good reason. Fifty-five percent of marketers are sure AI will have a greater impact in their field than social media has. What a statement. Marketing automation allows companies to improve engagement and increase efficiency to grow revenue faster. It uses software to automate customer segmentation, customer data integration, and campaign management, and streamlines repetitive tasks, allowing strategic minds to get back to doing what they do best. If marketing is your jam, you may like to read this article with the 9 Applications Of Artificial Intelligence In Digital Marketing That Will Revolutionize Your Business One of the leaders in this field is Adext, whose Audience Management as a Service (AMaaS) can boost ad spend efficiency by up to +1265% %. The AMaaS automates all the process of campaign management and optimization, making more than 480 daily adjustments per ad to super-optimize campaigns and managing budgets across multiple platforms and over 20 different demographic groups per ad. To find out how your company or agency can get those kinds of results, you can start here. And if you’d like to read about how Adext applies machine learning to find the most profitable audience for any ad, then this guide is for you: This is how Adext, the first and only Audience Management as a Service (AMaaS) in the world, can get you superior digital advertising results And if you liked this article, you will also love to read The Most Surprising Applications Of Artificial Intelligence That You’ve Never Even Thought Of (Cooking, writing and investing. Yes! You’ll about to see that AI can also do those things)

    5 Trends That Will Drive The Future Of Technology

    Trends get a bad rap, mostly because they are often equated with fashions.  Talk about trends and people immediately start imagining wafer thin models strutting down catwalks in outrageous outfits, or maybe a new shade of purple that will be long forgotten by next season.

    Yet trends can be important, especially those long in the making.  If lots of smart people are willing to spend years of their lives and millions (if not billions) of dollars on an idea, there’s probably something to it.

    Today, we’re on the brink of a new digital paradigm, where the capabilities of our technology are beginning to outstrip our own.  Computers are deciding which products to stock on shelves, performing legal discovery and even winning game shows.  They will soon be driving our cars and making medical diagnoses.  Here are five trends that are driving it all.

    1. No-Touch Interfaces
    We’ve gotten used to the idea that computers are machines that we operate with our hands.  Just as we Gen Xers became comfortable with keyboards and mouses, Today’s millennial generation has learned to text at blazing speed.  Each new iteration of technology has required new skills to use it proficiently.

    That’s why the new trend towards no-touch interfaces is so fundamentally different.  From Microsoft’s Kinect to Apple’s Siri to Google’s Project Glass, we’re beginning to expect that computers adapt to us rather than the other way around.

    The basic pattern recognition technology has been advancing for generations and, thanks to accelerating returns, we can expect computer interfaces to become almost indistinguishable from humans in little more than a decade.

    2. Native Content
    While over the past several years technology has become more local, social and mobile, the new digital battlefield will be fought in the living room, with Netflix NFLX +0.35%, Amazon, Microsoft MSFT +1.96%, Google GOOG +1.96%, Apple AAPL +1.05% and the cable companies all vying to produce a dominant model for delivering consumer entertainment.

    One emerging strategy is to develop original programming in order to attract and maintain a subscriber base.  Netflix recently found success with their “House of Cards” series starring Kevin Spacey and Robin Wright.  Amazon and Microsoft quickly announced their own forays into original content soon after.

    Interestingly, HBO, which pioneered the strategy, has been applying the trend in reverse.  Their HBO GO app, which at the moment requires a cable subscription, could easily be untethered and become a direct competitor to Netflix.

    3. Massively Online
    In the last decade, massively multiplayer online games such as World of Warcraft became all the rage.  Rather than simply play against the computer, you could play with thousands of others in real time.  It can be incredibly engrossing (albeit a bit unsettling when you realize that the vicious barbarian you’ve been marauding around with is actually a 14 year-old girl).

    Now other facets of life are going massively online.  Khan Academy offers thousands of modules for school age kids, Code Academy can teach a variety of programming languages to just about anybody and the latest iteration is Massively Online Open Courses (MOOC’s) that offer university level instruction. (For a good example, see here).

    The massively online trend has even invaded politics, with President Obama recently reaching out to ordinary voters through Ask Me Anything on Reddit and Google Hangouts.

    4. The Web of Things
    Probably the most pervasive trend is the Web of Things, where just about everything we interact with becomes a computable entity.  Our homes, our cars and even objects on the street will interact with our smartphones and with each other, seamlessly.

    What will drive the trend in the years to come are two complementary technologies:  Near Field Communication (NFC), which allows for two-way data communication with nearby devices and ultra-low power chips that can harvest energy in the environment, which will put computable entities just about everywhere you can think of.

    While the Web of Things is already underway, it’s difficult to see where it will lead us.  Some applications, such as mobile payments and IBM’s Smarter Planet initiative, will become widespread in just a few years.   Marketing will also be transformed, as consumers will be able to seamless access digital products from advertisements in the physical world.

    Still, as computing ceases to be something we do seated at a desk and becomes a natural, normal way of interacting with our environment, there’s really no telling what the impact will be.

    5. Consumer Driven Supercomputing
    Everybody knows the frustration of calling to a customer service line and having to deal with an automated interface.  They work well enough, but it takes some effort.  After repeating yourself a few times, you find yourself wishing that you can just punch your answers in or talk to someone at one of those offshore centers with heavy accents.

    Therein lies the next great challenge of computing.  While we used to wait for our desktop computers to process our commands and then lingered for what seemed like an eternity for web pages to load, we now struggle with natural language interfaces that just can’t quite work like we’d like them to.

    Flewro waiters the Drone waiters

    Looking for Waiters to Serve at your Restaurant? Why not get Flying Drone Waiters!
    India-based Flew Up Technologies launches the Flying Drone Waiters for the UAE, India markets.
    Dubai, October 21, 2015: A first of its kind concept, India-based (Kozhikode) Flew Up Technologies today launched their ‘Flying Drone Waiter’ at the Kerala IT Pavilion at the ongoing Gitex Technology Week 2015 at the Dubai World Trade Center.

    Once the waiter takes in an order from a customer, the dishes ordered will be served by the flying drone waiter. The area of the restaurant is mapped using a computer programme and the flying path within the restaurant is prepared and integrated into the software and drone waiters will be controlled using smart phones or tabs by the restaurant staff to ensure that the order reaches the right customer and does not create a flutter at the restaurant as it flies above the people with the orders.
    “The robotic waiters will help the human waiters to serve their customers more efficiently and the opportunity to spend more time interacting with diners, taking orders and clearing dishes. Whizzing from kitchens to tables with drinks and plates of food on board, the new wave of autonomous drones is already a burgeoning trend in Singapore and parts of UK.” Said Aliriza Abdul Gaffoor, CEO, Flewup Technologies.
    “The drones need a lot of customization based on the requirements of each restaurant. Even the weight of food and drinks that a drone needs to carry can be customized by making changes in the hardware.  We are hopeful that this trend may pick up in UAE restaurants as 3D robotic technology zooms into the hospitality sector. We are also working on drones that can carry food and drinks more than 2 kg weight.” He added.
    Flewup Technologies last year at Gitex had launched coconut plucking drones called ‘Flying Electronic Wonder Robots (Flewro)’. The drone with robotic arms can pluck coconut or dates from their trees. The drone flies to the top of trees and the camera attached to the drone will stream live visuals to the mobile app. The drone then stabilizes its flight and then the robotic arm tests if the fruit is ripe. On confirming the ripeness, the secondary arm fitted with sharp razors pluck the fruit.
    “It is interesting to see small companies like Flewup and many others in Kerala coming up with innovative projects that has a huge potential in the global market. Kerala IT’s aim is to provide a platform for them to enter newer markets with their products so that they can gain through the initial market penetration.” Said Technopark CEO, K G Girish Babu.

    Flewup - come fly with the future.

    Did you ever wonder that how technology change our life? in near future there will be classrooms with artificial intelligence in which the classroom itself predicts the knowledge level of the student and educate him the way he need.Emerging technologies succh as virtual reality and augmented reality.
    Tablets and apps have already entered schools, but the best way to use them is still „under development”. One of the most promising option is using them to illustrate/demonstrate learning material in a 3 dimensional, animated, real-life looking way. That is, using Augmented Reality – AR.In this article i am trying to present you with a general overview and concepts, ideas on how to do this.The objective of this article is to show you the potential of AR in education.

    Students’ interest is harder and harder to raise

    •Traditional visual representation (written text, drawing, images) are not effective anymore, since students get used to and live in visually rich multimedia world
    •They’re using, tablets, pc-s with strong, animated interactive content in their other activities – these are the channels they’re used to, the way their interest can be raised, and information, knowledge can be shown and transferred
    •Tablets and Augmented Reality Apps are the perfect answer to the visual stimulus need of the students.

    Education Augmenting Methods.

    The 3 main ways to use AR Apps throughout the learning process is the following:
    •Talking heads – teachers
    –Instead of reading, each and every page of the book and the pictures, illustrations on them are talking to the student when the tablet is being hold on them.
    •3d simulations
    –3 dimensional animations, demonstrating otherwise invisible, too big or too small objects, actions appearing on the pages of the textbook
    –Placing the student in the middle of the lesson– like he is traveling among/ within the subject’s virtual 3d world
    •3d interactive models with hotspots
    –Instead of the 2 dimensional drawings, 3 dimensional models of the subject with clickable info hotspots appear on the pages, to help to understand the lesson.

    Pointing the tablet/smartphone on printed materials, organs of the body appears in 3d on the screen. The given organ can be rotated by moving the printed 2d picture – and moving closer is like zooming in with a microscope. By touching the labels more detailed info is displayed.

    Enhance the pictures in the biology book with demonstrations of any organ - with interactive 3D animations. Students can take a look inside of the given organ, in order to better understand its mechanisms and functions.

    Show the characteristics, skeleton structure etc. of the animals with spectacular animations. Thus even long-extinct species can be brought alive. Students can even interact or take a photo with them.

    Some other ideas:
    •Presenting human body and animals in 3D
    •3d working model of organs that can be interactively
    •Layers and Hot spots tell more
    •x Ray function to see through the shell of the body

    As you can see, the possibilities of AR applications in education are nearly limitless hope that these ideas raised your interest and soon you can expect more articles regarding augmented reality in education on flewup website.

    what are flying robots?

    Flying robots also known as drones, are unmanned arial vehicles (UAV's) either controlled by ‘pilots’ from the ground or increasingly, autonomously following a pre-programmed mission through software-controlled flight plans in their embedded systems working in conjunction with GPS.  UAVs have most often been associated with the military but they are also used for search and rescue, surveillance, traffic monitoring, weather monitoring and firefighting,Agriculture among other things the use of drones has grown quickly in recent years. 
    Nature is inspiring the design of the next generation of drones, or flying robots, that could eventually be used for everything from military surveillance to search and rescue.
    In the journal Bioinspiration and Biomimetics, 14 research teams reveal their latest experimental drones.
    They include a robot with bird-like grasping appendages, and some that form a robo-swarm or flock.
    The developments are inspired by birds, bats, insects and even flying snakes.
    Aerial robotics expert Prof David Lentink, from Stanford University in California, says that this sort of bio-inspiration is pushing drone technology forward, because evolution has solved challenges that drone engineers are just beginning to address.
    "There is no drone that can avoid a wind turbine," he told BBC News. "And it is very difficult for drones to fly in urban environments," where there are vast numbers of obstacles to navigate, and turbulent airflow to cope with.
    Even the humble pigeon, Prof Lentink said, "flies where drones still can't".
    Some advances published in the journal directly demonstrate how these challenges can be overcome.
    Others simply show, in very fine detail, exactly how flying animals achieve what they do. And such insights - for example, looking at how tiny insects stabilise themselves in turbulent air - will help inform future drone design.
    To mimic what Prof Lentink described as insects' "amazing capability of flight in clutter ", one team of researchers, from the University of Maryland, engineered sensors for their experimental drone based on insects' eyes.
    These "eyes" are actually miniature cameras connected to an on-board computer that is programmed to steer the drone away from surrounding objects.
    Another team of researchers from the University of Pennsylvania has engineered a raptor-like appendage for a drone, enabling it to grasp objects at high speeds by swooping in like a bird of prey.
    Among the work focusing on unravelling the mysteries of insect, bird and bat flight, was an experiment by researchers at the University of North Carolina - tethering a moth inside a lab-based tornado chamber.
    Footage of the flying insect revealed how it twisted its wings to compensate for the unstable, swirling air.
    Another team led by Prof Kenny Breuer at Brown University built an eerily accurate robotic copy of a bat wing, demonstrating the wing's remarkable range of movement and flexibility. This is largely thanks to the thin wing membrane that is unique to bats.
    Membrane-based bat wings are of particular interest to drone engineers, because they are so tolerant of impact.
    "They deform instead of breaking," explained Prof Lentink. "They are also adapting better to the airflow because they're so flexible."
    Dr Mirko Kovac is director of the aerial robotics laboratory at Imperial College, London. His team is currently working on robots that can "perch" on trees and other objects, enabling drones to become "mobile networks of sensors".
    "I'm very excited about the future of this field," he told the BBC.
    "There are a lot of tasks that we can do with flying robots, such as sensing pollution, observing and protecting wildlife, or we could use them for search and rescue operations after tsunamis."
    There are already many drones in commercial use. In the UK, for example, the regulator, the Civil Aviation Authority (CAA), has issued around 50 permissions, essentially drone-operating licences, in just the last year to commercial operators. This allows them to fly their drones in UK airspace.
    The vast majority of these are for aerial photography, and current regulations state that drone operators must have visual contact with their vehicle.
    A CAA spokesperson told BBC News that, at the moment, "drones could not be allowed to go off and fly out of the operator's sight".
    "There isn't the technology in place to allow them to avoid airborne obstacles," the CAA continued, adding that the authority was watching drone development closely in order to "develop regulation in tandem with technology".
    And, as these demonstrations highlight, bio-inspired technology is beginning to allow flying robots to do far more than capture footage or pictures from the air.
    Dr Kovac commented: "It's important that the applications benefit humanity.
    "We must take the responsibility to built robots that are beneficial to society and used in an ethical and positive way."
    Prof Graham Taylor from the University of Oxford's animal flight group added that engineers still had a long way to go before they were able to achieve the feats that animals were capable of.
    "The depth of our understanding of the biological systems greatly exceeds the depth of our ability to exploit the underlying principles in engineered systems," he explained to BBC News. "So whilst the promise is great, it remains early days for the field."

    Flew LMS the next generation learning management system

    With rumors of Google releasing Augmented Reality (AR) glasses by the end of the year, this technology may be closer than we think. AR is essentially the layering of further data on top of the reality we already see. Whether students are wearing Oakley THUMP style glasses or having data sent straight to their AR contact lenses, the educational implications for this technology are huge. We talk about rich media being available in digital textbooks, but imagine having an AR Benjamin Franklin sitting at your desk explaining the Declaration of Independence. The immersive experience that students will enjoy both in and outside the classroom will be amazing.