Management - Innovation -Technology and beyond
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Your Assumptions About Reading Are Wrong !

Your Assumptions About Reading Are Wrong ! | Management - Innovation -Technology and beyond | Scoop.it
We all know that no one reads books any more, right? It’s because of the internet, and twitter, and Justin Bieber, I think. The argument for this was summed up by Nicholas Carr in his article Is Google Making Us Stupid? You can see it in these stats too – this is data from Gallup showing how many people answer “yes” to the question “Are you currently reading any books or novels at present?”
Fouad Bendris's insight:

“It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so.”

Avoiding false assumptions provides a big innovation opportunity. What do you know for sure that just ain’t so !

 

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maralma's curator insight, June 22, 2014 1:01 PM

Reading is in fashion again but on line!

Management - Innovation -Technology and beyond
Targeted to who wanted to keep up-to-date with M.I.T !
Curated by Fouad Bendris
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Building a natural language processing library for Apache Spark

Building a natural language processing library for Apache Spark | Management - Innovation -Technology and beyond | Scoop.it
The core purpose of an NLP library is the ability to take text and then apply a set of annotations on the text. So, the basic annotations we ship in this initial version of Spark NLP include things like a tokenizer, a lemmatizer, sentence boundary detection, and paragraph boundary detection. Then on top of that, we include things like sentiment analysis, spell checker so we can auto-suggest corrections, and a dependency parser so we can not just know that we have a noun and a verb, but also that this verb talks about the specific noun, which is often semantically interesting. We also include named entity recognition algorithms ! 
Fouad Bendris's insight:
The state of NLP in Spark ! Here are your two choices today. Either you want to leverage all of the performance and optimization that Spark gives you, which means you want to stay basically within the JVM, and you want to use a Java-based library. In which case, you have options that include OpenNLP, which is open source, or Stanford NLP, which requires licensing in order to use in a commercial product. These are older and more academically oriented libraries. So, they have limitations in performance and what they do.
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What you need to know about Intel and AMD’s deal to fight Nvidia ! 

What you need to know about Intel and AMD’s deal to fight Nvidia !  | Management - Innovation -Technology and beyond | Scoop.it
AMD’s stock is likely to see a bump on shift in sentiment for the very short term since the stock has been beaten down after earnings. Fortunately, The Arora Report took a short-term trading position in AMD two days ago. No, we did not know the news that is out today. We bought on the potential for changes in bitcoin mining algorithms that may render existing bitcoin mining computers obsolete. If this happens, there is another potential benefit for AMD and Nvidia.
Fouad Bendris's insight:
The real prize for chip makers is artificial intelligence, not PCs, writes Nigam Arora. From looking at the cold, hard numbers, the news is insignificant for Intel, AMD and Nvidia shares. Please note that the future of those companies, and stocks, lies in artificial intelligence. Today’s deal appears to be simply for an old-fashioned computer chip for laptops. The chip will combine an Intel processor and AMD graphics processing unit. There is nothing revolutionary here. This may result in a lighter and less expensive laptop that runs cooler. This may dent the sales of Nvidia graphics chips used in laptops for gamers. However, Nvidia’s stock is not primarily driven by sales of graphics chips for gamers; it is driven by the prospects of artificial intelligence.
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Linux Foundation creates a framework for sharing open data !

Linux Foundation creates a framework for sharing open data ! | Management - Innovation -Technology and beyond | Scoop.it
Although proprietary data sets owned by the likes of Google Inc., Facebook Inc. and other large internet and cloud companies gives them a large advantage in new #analytics and artificial intelligence application, open data sets could start to level the playing field. Thanks to open-source technologies such as Apache Hadoop and Apache Spark, unstructured data can easily be crunched to provide useful information for businesses and other organizations in a matter of seconds. But providing access to data isn’t so easy, because there is no framework in place to govern its distribution and use. This is where CDLA licenses come in, providing that framework for governments, academic institutions and others to open and share data with ease. 

Fouad Bendris's insight:
The Linux Foundation wants to open up the use of data in much the same way it has helped make open-source software a technology force to be reckoned with. Announced at the Open Source Summit in Prague Monday -  the new Community Data License Agreement is designed to cover the use of nonproprietary data ... 
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To Survive the Streets, Self-Driving Cars Have to Start Thinking Like Humans

To Survive the Streets, Self-Driving Cars Have to Start Thinking Like Humans | Management - Innovation -Technology and beyond | Scoop.it

Cracking the "freezing robot" problem requires machine learning and a human-like understanding of how the world works.

There are practical limits to what the computers can do, though. “This is no Minority Report,” —no one’s telling the future. “Uncertainty in future pedestrian or cyclist position rapidly increases with the prediction horizon, how many seconds in the future we’re trying to model. Basic behavior models already stop being useful after one second. More sophisticated behavior models might give us up to two seconds of predictability.”

Fouad Bendris's insight:
NEXT TIME YOU’RE driving down the road or walking down the street, pause to consider how you read your surroundings. How you pay extra attention to the kid kicking a soccer ball around her front lawn and the slightly wobbly, nervous looking cyclist. How you deprioritize the woman striding toward the street, knowing she’s heading for the group of friends waving to her from the sidewalk.
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Google's AutoML Project Teaches AI To Write Learning Software

Google's AutoML Project Teaches AI To Write Learning Software | Management - Innovation -Technology and beyond | Scoop.it
AutoML remains a research project. Somewhat ironically, right now it takes exactly the kind of rare AI expertise this technology seeks to automate to get it working. But a growing number of researchers outside Google are working on this technology, too. If AI-made AI becomes practical, machine learning could spread outside of the tech industry, for example in healthcare and finance, much faster. At Google, AutoML could accelerate Pichai’s “AI first” strategy, through which the company is using machine learning to run more efficiently and create new products.
Fouad Bendris's insight:
Google’s researchers have taught machine-learning software to build machine-learning software, in a project dubbed AutoML.
WHITE-COLLAR AUTOMATION HAS become a common buzzword in debates about the growing power of computers, as software shows potential to take over some work of accountants and lawyers. Artificial-intelligence researchers at Google are trying to automate the tasks of highly paid workers more likely to wear a hoodie than a coat and tie—themselves. In a project called AutoML, Google’s researchers have taught machine-learning software to build machine-learning software. I
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​Jeremy Corbyn wants to tax robots and their greedy overlords !

​Jeremy Corbyn wants to tax robots and their greedy overlords ! | Management - Innovation -Technology and beyond | Scoop.it
Labour Party leader Jeremy Corbyn has warned that more needs to be done to deal with the challenges of robots and automation. In his speech to the Labour Party conference today, he said there was an urgent need for the country to face the challenge of automation and robotics "that could make so much of contemporary work redundant". Bill Gates: 'Robots that take jobs should be taxed just like the people they replace' Bill Gates: 'Robots that take jobs should be taxed just like the people they replace' Microsoft co-founder Bill Gates thinks governments should impose something akin to an income tax on each robot that replaces a human. "That is a threat in the hands of the greedy, but it's a huge opportunity if it's managed in the interests of society as a whole. We won't reap the full rewards of these great technological advances if they're monopolised to pile up profits for a few." Corbyn said that if the rewards of automation were "publicly managed" to share the benefits more broadly this could provide "the gateway for a new settlement between work and leisure. A springboard for expanded creativity and culture".
Fouad Bendris's insight:
Benefits of automation cannot be left to money-grabbing bosses, says Labour leader.
While technology has always destroyed some jobs, it has tended to create more as a result. But some experts and academics warn that the rise of artificial intelligence may be different: first, by automating potentially what were seen to be safe middle class jobs; and second, by doing little to create many more new jobs in its wake.
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Who’s afraid of disruption?

Who’s afraid of disruption? | Management - Innovation -Technology and beyond | Scoop.it

LAST week Schumpeter met two tech tycoons who control businesses in total worth $600bn. In both cases the mayhem around them was what you would expect if Beyoncé hit town, minus the musical talent and looks.

Many industries that you might imagine to be directly in the crosshairs of Silicon Valley are expected to plod along happily. Consider television, where Amazon, Netflix, YouTube and Apple are pouring money into buying and making new shows. There are certainly worries about consumers cutting the cable-TV cord, but the incumbent cable firms and content producers are in aggregate valued on 20 times profits, implying cash flows will continue to rise ... 

Fouad Bendris's insight:
If disruption is defined as conventional firms being clobbered by digital ones, there is certainly some of it about. This month Toys “R” Us went bankrupt, joining many clothing and hardware retailers felled by e-commerce. On August 23rd shares in WPP, an advertising firm, slumped after it said clients were cutting spending partly because of technological change. A few days later Amazon closed its acquisition of Whole Foods, a food retailer, and cut its high prices, spreading fear in the supermarket industry’s aisles.
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2017 predictions for Big Data, IoT, and AI

2017 predictions for Big Data, IoT, and AI | Management - Innovation -Technology and beyond | Scoop.it
2017 and beyond Internet of Things, Big Data and AI are all growing and coming closer to hitting more commercial and mass use cases. As they enter into commonplace and everyday life, it will become imperative that the three trends become interconnected in order to deliver more powerful, streamlined products. Interested in learning more about artificial intelligence and the impact it will bring forth?
Fouad Bendris's insight:
There’s no doubt that there are currently three big trends in business models: Internet of Things (IoT), Big Data and artificial intelligence (AI). From the still-fragmented internet of things to rapid fluctuations in computing paradigms to how AI is reshaping how we live, everybody’s talking about these trends but what’s really going on? Here’s the lowdown on what you need to understand about them, and the future that lies in the year ahead from a consumer perspective.
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As electric motors improve, more things are being electrified !

As electric motors improve, more things are being electrified ! | Management - Innovation -Technology and beyond | Scoop.it
Enter the black box At the moment, many electric motors are still run at a constant pace, relying on mechanical systems such as gears to step that up or down to provide whatever speed is wanted by the widget to which they are attached. That is wasteful, and engineers are working to improve things. In electric cars, for instance, the job done by gears (or the wooden stick in Mrs Ford’s ride) is already performed by a box of electronics. This is increasingly true of non-car motors, too.
Fouad Bendris's insight:
HENRY FORD may have brought motoring to the masses in 1908 with the Model T, but his wife, Clara, preferred to drive an electric car. Combustion engines were noisy, dirty and in their early years required hand-cranking to start. Mrs Ford’s 1914 Detroit Electric, however, moved away instantly, was nearly silent and its speed was easy to control by pushing or pulling on a wooden rod that selected the required amount of power from a bank of nickel-iron batteries. Her car could travel for about 80 miles on a single charge and exceed speeds of 20mph.
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Lazy ants make themselves useful in unexpected ways

Lazy ants make themselves useful in unexpected ways | Management - Innovation -Technology and beyond | Scoop.it
Observing colonies of ants maintained in the lab, Charbonneau found that an average of 40 percent of individuals are mostly inactive, with some variation between seasons, colonies and species. And his ants, which belong to the species Temnothorax rugatulus, don't appear to be freaks of nature, Charbonneau says, as similar patterns can be observed in other social insects, even honey bees. Charbonneau and his doctoral adviser, Ecology and Evolutionary Biology Professor Anna Dornhaus, published those results in 2015. At the time, the researchers could only speculate over the purpose of keeping around hordes of inactive "workers. 
Fouad Bendris's insight:
If the first thing that comes to mind when you think about ants is "industrious," you might be in for a surprise. In 2015, biologists at the University of Arizona reported that a sizable chunk of the "workers" that make up an ant colony spent the vast majority of their day engaging in one task: doing absolutely nothing. 
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Turing test for poetry - bot or not ?

Turing test for poetry - bot or not ? | Management - Innovation -Technology and beyond | Scoop.it

What is a Turing test? In 1950, Alan Turing devised the Turing test as a way of verifying machine intelligence. The Turing test is a proposed situation in which a human judge talks to both a computer and a human through a computer terminal. The judge cannot see the computer or the human, but can ask them questions via the computer. Based on the answers alone, the human judge has to determine which is which. If you’re curious as to what constitutes a human poem, and what constitutes a computer poem, go to the submit page for the criteria or the what is computer poetry page for examples ... 

Fouad Bendris's insight:
Turing test for poetry. You, the judge, have to guess whether the poem you’re reading is written by a human or by a computer.
What is computer poetry? Computer generated poetry means different things to different people. What we mean by ‘computer-generated poetry’ is: text, that is generated through an algorithm, which is executed by a digital, electronic computer, which is intended, by whoever it may be, to be read as poetry. We know: This is a super broad definition for computer generated poetry, but we feel that it encourages experimentation, which is what we're really after.
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Animals are lesser than humans in proposed German self-driving car ethics law !

Animals are lesser than humans in proposed German self-driving car ethics law ! | Management - Innovation -Technology and beyond | Scoop.it
The proposed law states that humans should be protected if possible ahead of animals and inanimate objects in all instances. Although it’s easy to think of Orwell’s “Animal Farm,” where some animals are “more equal than others,” the ethical question of harm management in the event of an accident is a serious issue when it comes to self-driving cars and artificial intelligence in general. The Ethics Commission at the [Department] has done…. pioneering work and has developed the world’s first guidelines for automated driving. We are now implementing these guidelines.” Along with prioritizing human lives, the proposed law also goes further. It says self-driving cars shouldn’t discriminate against killing one human over another, stating that “no decisions should be made on age, sex, physical or mental constitution.” Self-driving cars will also be required to have a surveillance system in place – such as a black box – that records the steps leading to an accident so that it can be determined what caused the accident and whether the right decision by the self-driving car was made.
Fouad Bendris's insight:
Animals are lesser beings than humans. That’s the biggest takeaway from a newly proposed law in Germany that defines ethical standards with self-driving cars. The new law, proposed by the German Federal Ministry of Transport and Digital Infrastructure, attempts to define how artificial intelligence technology behind a self-driving vehicle should prioritize damage control, which is a nice way of saying whom it should kill first in a crash.
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The Agility Shifter: Emerging role for innovation leadership  

The Agility Shifter: Emerging role for innovation leadership   | Management - Innovation -Technology and beyond | Scoop.it
Coping with disruptive technological change A recent article The global forces inspiring a new narrative of progress in McKinsey Quarterly, it states that “Corporate leaders today need to rethink where and how they compete, and must cooperate in the crafting of a new societal deal that helps individuals cope with disruptive technological change”. The article outlines a broad narrative of intensifying competition, as well as the growing need for cooperation, contains challenges, but also great opportunities and poses three key questions: 
- How long can the traditional sources of competitive advantage survive in the face of technological shifts?
- How will changing consumer and societal expectations affect their business models? 
- What does it mean to be a global company when the benefits of international integration are under intense scrutiny?
Fouad Bendris's insight:
Becoming an agility shifter – what will you do? Taking the path less travelled seems to be simple, yet it requires leaders to really stretch themselves to see, own and be accountable for empowering and enabling themselves and others to be the best they can be, in line with what Mc Kinsey Quarterly Review describes as; “Growth shifts. Accelerating disruption. A new societal deal. These are powerful forces that demand thoughtful responses and contain the seeds of extraordinary opportunity. Leaders reaching for these opportunities will need to question their own assumptions and imagine new possibilities. Those who do will compete more effectively; they also will be better able to contribute to broader solutions, and ultimately to a new and more inclusive narrative of progress” ... 
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Trends in electric-vehicle design !

Trends in electric-vehicle design ! | Management - Innovation -Technology and beyond | Scoop.it

With EVs becoming mass-market products, it is time for a detailed understanding of technology trends. In collaboration with A2Mac1, a provider of automotive benchmarking services, we conducted a large-scale benchmarking of first- and second-generation EV models, which included physically disassembling ten EV models: the 2011 Nissan LEAF, the 2013 Volkswagen e-up!, the 2013 Tesla Model S 60, the 2014 Chevrolet Spark, the 2014 BMW i3, the 2015 Volkswagen e-Golf, the 2015 BYD e6, the 2017 Nissan LEAF, the 2017 Chevrolet Bolt, and the 2017 Opel Ampera-e. Together, these models account for about 40 percent of all pure-battery EVs ever produced. In addition to the ten torn-down vehicles, we analyzed publicly available information on additional vehicles and consulted independent subject-matter experts. The resulting analysis shows that successfully producing EVs requires radically different thinking.

Fouad Bendris's insight:
What did we learn from a teardown and benchmarking of ten EV models? Regulatory pressures on internal combustion engines (ICEs), combined with technological improvements in electric powertrains and batteries, are driving a surge of demand for electric vehicles (EVs). Most incumbent car manufacturers are rolling out models, joined by new entrants without ICE legacies. Worldwide sales of pure battery EVs (excluding hybrids) grew by approximately 45 percent in 2016.
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Wellness at work: The promise and pitfalls 

Wellness at work: The promise and pitfalls  | Management - Innovation -Technology and beyond | Scoop.it

Health-club membership to move the needle on employee well-being. Members of the Consortium for Advancing Adult Learning & Development (CAALD), a group of learning authorities whose members include researchers, corporate and not-for-profit leaders, and McKinsey experts, recently debated these issues at its second annual meeting, in Boston. Their discussion suggests that wellness and work remain uneasy bedfellows, but our understanding of what it takes to make progress has grown, and so should the willingness of leaders to invest in their people at a time when the emerging workplace is confronting them with stress-inducing change !

Fouad Bendris's insight:
It takes more than a discounted health-club membership to move the needle on employee well-being.
Employers are in a unique position to be a good influence on health and general well-being. After all, working people spend more of their waking time on the job than anywhere else. Stay current on your favorite topics SUBSCRIBE But what does it take to improve employee wellness? Is it, in fact, the business of business to do so? And can (or should) we measure the return?
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10 Principles of Customer Strategy ! 

10 Principles of Customer Strategy !  | Management - Innovation -Technology and beyond | Scoop.it
1. Master the art of the possible. Because technological breakthroughs are now common in nearly every industry, customers expect big changes to be a regular occurrence. The most successful companies continually experiment with innovations that make life better for customers. Customers appreciate companies that can do this effectively, time after time. That doesn’t mean asking your customers what they will find indispensable in the future; they can’t tell you.
2. Know your customers at a granular level. Leading companies are moving beyond traditional quantitative segmenting 
3. Link your company’s customer strategy to its overall identity. Every successful company has a strong value proposition that distinguishes it from rivals.
4. Target customers with whom you have the “right to win.” When your company has a strong identity, you don’t need to compete in every marketplace — only in the categories where you are reasonably confident of succeeding.
5. Treat your customers as assets that will grow in value. Not every company cultivates long-term customer relationships in a constructive way. Leading companies do. They continually create better reasons for their customers to identify with the company and its products and services.
6. Leverage your ecosystem. Your company exists in a broad network of relationships that form an ecosystem. These relationships are not just with customers, but also with suppliers, distributors, retailers, industry associations, institutional partners, and government agencies.
7. Ensure a seamless omnichannel experience. We all know the importance of omnichannel experience — a consistent look and feel in all customer touch points, including brick-and-mortar, face-to-face, online, voice phone, and mobile.
8. Excel at delivery. The physical delivery of products and services is critical to keeping your customers happy. Whether or not you compete directly with Amazon, you are affected by its delivery innovations.
9. Reorganize around the customer. Your organization should be “fit for your customer”: that is to say, it should be designed to make it easy to deliver a great customer experience.
10. Match your culture with your customer strategy. A relevant culture is a bigger advantage than ever for customer-facing companies. In our survey and interviews, a majority of executives said that the biggest barriers to a successful customer strategy were finding the right talent and developing the right organizational culture.



Fouad Bendris's insight:
It’s no longer enough to target your chosen customers. To stay ahead, you need to create distinctive value and experiences for them.In developing a successful customer strategy, you must provide answers to questions such as these: Who are our customers? Which of their needs can we address? Given our company’s overall value proposition and strategy, what customer experience should we create? What capabilities do we need in order to deliver that experience? How should we organize ourselves accordingly, and what aspects of our culture can help us?
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The latest AI can work things out without being taught

The latest AI can work things out without being taught | Management - Innovation -Technology and beyond | Scoop.it

IN 2016 Lee Sedol, one of the world’s best players of Go, lost a match in Seoul to a computer program called AlphaGo by four games to one. It was a big event, both in the history of Go and in the history of artificial intelligence (AI). Supervised learning is useful for much more than Go. It is the basic idea behind many of the recent advances in AI, helping computers learn to do things such as identify faces in pictures, recognise human speech reliably, filter spam from e-mail efficiently and more. There is, of course, more to life than Go. Algorithms such as the ones that power the various iterations of AlphaGo might, its creators hope, be applied to other tasks that are conceptually similar. (DeepMind has already used those that underlie the original AlphaGo to help Google slash the power consumption of its data centres.) But an algorithm that can learn without guidance from people means that machines can be let loose on problems that people do not understand how to solve.

Fouad Bendris's insight:
For AI researchers, Go is equally exalted. Chess fell to the machines in 1997, when Garry Kasparov lost a match to Deep Blue, an IBM computer. But until Mr Lee’s defeat, Go’s complexity had made it resistant to the march of machinery. AlphaGo’s victory was an eye-catching demonstration of the power of a type of AI called machine learning, which aims to get computers to teach complicated tasks to themselves.
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Chaotics Management within IT world ! 

Chaotics Management within IT world !  | Management - Innovation -Technology and beyond | Scoop.it
... Kind of Disruptive leadership without Turbulence ;() 
Fouad Bendris's insight:
Chaotics Management within IT world !
... Kind of Disruptive leadership without Turbulence ;()
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La ville à l’épreuve de la voiture autonome !

La ville à l’épreuve de la voiture autonome ! | Management - Innovation -Technology and beyond | Scoop.it
Au Technopôle de Rouen, le partenariat entre Renault, Transdev, la métropole de Rouen et la région Normandie, d’un montant de près de 10 millions d’euros pour trois ans, permettra à quatre Zoe d’effectuer trois boucles totalisant 10 kilomètres. Après la période de test, le public pourra, à partir du printemps 2018, appeler un véhicule en temps réel par l’intermédiaire de son smartphone, depuis l’un des dix-sept points d’arrêt. Elle témoigne des progrès rapides de la voiture autonome en circulation réelle. Constructeurs automobiles et géants de la technologie comme Google et Uber sont lancés dans une course de vitesse pour relever le défi de la conduite par un robot dans un milieu urbain souvent chaotique. Et les villes, de plus en plus persuadées que les véhicules autonomes vont débouler dans leurs rues bien plus tôt que prévu, cherchent à anticiper les bouleversements à venir ... 
Fouad Bendris's insight:
Les véhicules sans chauffeur arrivant plus tôt que prévu, les élus cherchent à anticiper les bouleversements en préparant la cohabitation avec les voitures classiques.
Des Renault Zoe électriques sans chauffeur roulant au milieu des véhicules ordinaires, enchaînant passages piétons et ronds-points, pour un service public de mobilité à la demande… L’expérimentation, la première du genre en Europe, devait être officiellement lancée à Rouen lundi 2 octobre. 
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Clever Machines Learn How to Be Curious (And Play Super Mario Bros.)

Clever Machines Learn How to Be Curious (And Play Super Mario Bros.) | Management - Innovation -Technology and beyond | Scoop.it
But this carrot-and-stick approach to machine learning has its limits, and artificial intelligence researchers are starting to view intrinsic motivation as an important component of software agents that can learn efficiently and flexibly—that is, less like brittle machines and more like humans and animals. Approaches to using intrinsic motivation in AI have taken inspiration from psychology and neurobiology—not to mention decades-old AI research itself, now newly relevant. (“Nothing is really new in machine learning,” said Rein Houthooft, a research scientist at OpenAI, an independent artificial intelligence research organization.)
Fouad Bendris's insight:
Computer scientists are finding ways to code curiosity into intelligent machines. Humans also respond to extrinsic motivations, which originate in the environment. Examples of these include everything from the salary you receive at work to a demand delivered at gunpoint. Computer scientists apply a similar approach called reinforcement learning to train their algorithms: The software gets “points” when it performs a desired task, while penalties follow unwanted behavior.
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In Physics, Crossing a River Is Just Like Landing a Plane

In Physics, Crossing a River Is Just Like Landing a Plane | Management - Innovation -Technology and beyond | Scoop.it

Crosswind landings follow the same concepts as a classic physics problem.

You don't have to be a pilot to get a feel for this kind of landing, though. Crosswind landings follow the same concepts as a classic physics problem that goes something like this: You have a boat that can travel with a speed of 4 m/s relative to the water. This boat will be used to cross a river that is 50 meters wide and has water moving at a constant speed of 2 m/s. What angle should you point the boat such that it travels across the river to a point directly on the opposite bank? What is the fastest way to cross the river?

Fouad Bendris's insight:
TO NON-PILOTS, LANDING an aircraft in a crosswind looks all but impossible. When the wind is perpendicular to the direction of motion of the plane, the plane has to aim in one direction—its wheels not lined up with the runway—so it moves in another. To pull it off, the pilot must quickly change the orientation of the plane once it touches the runway. It's hard. Whenever possible, a pilot would prefer to land flying into the wind and not perpendicular to it.
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Edge centers: hyperconverged technology for IIoT&P !

Edge centers: hyperconverged technology for IIoT&P ! | Management - Innovation -Technology and beyond | Scoop.it
IIoT&P edge computing is gaining traction in business. New hyperconverged infrastructure technologies can be employed to add scale and flexibility to most complex edge environments.

But what is edge computing? Is it just general-purpose SCADA? A last-ditch attempt by information technology traditionalists to hold back cloud advances into businesses? As an IT professional, is there something deeper that you need to understand to help you choose outcomes, guide strategy and lead changes related to edge computing?
Fouad Bendris's insight:
The Industrial Internet of Things and People, or IIoT&P, is reshaping business. Once the province of supervisory control and data acquisition, known as SCADA, in discreet and process manufacturing verticals, businesses of all sizes and shapes are exploring use cases for combining IIoT&P sensor, actuator, analytic and cloud technologies into differentiated business systems that can reduce costs, improve operations and enhance customer experience. However, as IT leaders plow the application greenfield for IIoT&P, they are encountering physical, infrastructure, cost and organizational realities that demand considerate, architectural treatment. A new set of technology choices and disciplines – edge computing – is emerging to address these realities.
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What machines can tell from your face ?

What machines can tell from your face ? | Management - Innovation -Technology and beyond | Scoop.it
The final frontier Start with privacy. One big difference between faces and other biometric data, such as fingerprints, is that they work at a distance. Anyone with a phone can take a picture for facial-recognition programs to use. FindFace, an app in Russia, compares snaps of strangers with pictures on VKontakte, a social network, and can identify people with a 70% accuracy rate. Facebook’s bank of facial images cannot be scraped by others, but the Silicon Valley giant could obtain pictures of visitors to a car showroom, say, and later use facial recognition to serve them ads for cars. Even if private firms are unable to join the dots between images and identity, the state often can. China’s government keeps a record of its citizens’ faces; photographs of half of America’s adult population are stored in databases that can be used by the FBI. Law-enforcement agencies now have a powerful weapon in their ability to track criminals, but at enormous potential cost to citizens’ privacy !
Fouad Bendris's insight:
THE human face is a remarkable piece of work. The astonishing variety of facial features helps people recognise each other and is crucial to the formation of complex societies. So is the face’s ability to send emotional signals, whether through an involuntary blush or the artifice of a false smile.
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Research Shows Unionized Workers Are Less Happy, but Why?

Research Shows Unionized Workers Are Less Happy, but Why? | Management - Innovation -Technology and beyond | Scoop.it

Although this theory is interesting, an alternative view to the “voice hypothesis” is the “sorting hypothesis.” For example, workers who experience poor working conditions are more likely to complain and to join a union. Similarly, workers can be more or less irritable and fussy and so are more or less inclined to join a union to express their dissatisfaction. Thus, the sorting hypothesis postulates that the characteristics of individuals who join a union or the features of the workplace are likely to influence the discontent of union members and the fact that individuals tend to unionize. In this view, it’s not that being unionized makes employees less satisfied; it’s that being the type of person who’s often dissatisfied or working in a place where there’s lots to be dissatisfied about makes you more likely to join a union. Which theory is right? Ultimately, it’s an empirical question !


Fouad Bendris's insight:
Many employers are paying more and more attention to the well-being of their employees and to how they perceive their current jobs, especially because employee satisfaction is associated with important work-related outcomes such as organizational commitment and job performance, as well as with lower levels of turnover and absenteeism. But what role do unions, historically advocates for the well-being of workers, play in promoting employee happiness? The relationship between union membership and job satisfaction is still disputed vigorously among scholars. Many of the early studies suggest that union members are less satisfied than nonunion workers but are also less inclined to quit their jobs. This surprising finding has been considered an anomaly by many researchers, as unions should achieve better working conditions, which common sense suggests should lead to higher job satisfaction ... 
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Why Leaders Who Listen Achieve Breakthroughs

Why Leaders Who Listen Achieve Breakthroughs | Management - Innovation -Technology and beyond | Scoop.it
Two-way dialogue is so powerful for creating breakthroughs that the deliberative democracy movement relies on it for helping citizens in polarized communities break out of gridlock. High-reliability organizing expert Karl Weick discovered that sharing perspectives and experience are important vehicles for the organizational “sensemaking” that reduces the risk of catastrophe. Although many leaders have personally experienced the power of this type of dialogue, few have mastered the art of initiating it. 

The following strategies can help:
- Slow down
- Create a safe space
- Ask inviting questions 
- Listen with a willingness to be influenced
- Use reflection to deepen the learning
- Summarize and ask for commitment 

Fouad Bendris's insight:
True two-way conversation can break the cycle of ineffective communication !
true two-way conversations reflect a more open, balanced, and reciprocal sharing of perspectives. Here, communication is approached as a puzzle or a collage, with each person holding a critical piece. The purpose is not to deliver the perfect message or to win people over, but to explore an issue or opportunity together — pooling observations and data, raising and testing assumptions, and creating new ideas out of the mix ... 
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