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Topics - s.arman

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46
One of his companies is trying to upend the auto industry. Another of his companies is trying to put people on Mars. Yet another is trying to bring electricity to everyone who needs it. Elon Musk wants to reinvent the world in a single lifetime. But is the future ready for Elon Musk?

For more info visit: https://www.gq.com/story/elon-musk-mars-spacex-tesla-interview

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A high school in China has made a facial recognition technology system that scans the student’s behavior in the classroom.

The facial recognition technology introduced in the school is recording facial expressions of all students while they are in their classrooms. The system scans the classroom every 30 seconds and recognizes seven different expressions such as neutral, happy, sad, disappointed, scared, angry and surprised.

For more info visit : https://www.techjuice.pk/this-school-scans-classrooms-every-30-seconds-through-facial-recognition-technology/

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Dear Sir/ Madam

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49
Dear Sir/ Madam

If you want to know how to create Elearn Course Create and Enrolment key ,please click the link below-

https://goo.gl/rKAJ6J

50
Software Engineering / How computers are learning to be creative.
« on: April 28, 2018, 07:32:54 PM »
See the interesting video from following link and know how computers are learning to be creative?
https://www.ted.com/talks/blaise_aguera_y_arcas_how_computers_are_learning_to_be_creative#t-5837

51
Computer scientists have created a deep-learning, software-coding application that can help human programmers by writing chunks of code in response to keywords.
For more info visit : https://www.sciencedaily.com/releases/2018/04/180425120203.htm

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It is a known fact that artificial intelligence (AI) is going to outperform humans in the near future. In January 2017, we had reported that Google’s AI research lab, Google Brain is reportedly developing an AI (artificial intelligence) software that can build more AIs. Then in May this year, Google Brain’s researchers created the AutoML, a machine learning algorithm that is capable of generating its own AIs, thereby eliminating the need to hire human experts.

Recently, the Google Brain’s team decided to throw a challenge to the AI AutoML of creating a ‘child’ that outdid all of its human-made counterparts by using an approach called reinforcement learning. AutoML acts as a controller neural network that can create a “child” network to execute a specific task. To know more visit : https://www.techworm.net/2017/12/googles-ai-creates-ai-superior-ones-made-humans.html

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Software Engineering / Child abuse poll a 'mistake' - Facebook
« on: March 06, 2018, 03:48:01 PM »
n what has become a seemingly regular occurrence, Facebook is being asked: how on Earth did this happen?

On Sunday, Facebook asked an unspecified number of users their thoughts on how child abuse images should be handled on the network.

It gave a scenario in which an “adult man" asks a 14-year-old girl for “sexual images”, and then a list of possible answers.

One option read: “This content should be allowed on Facebook, and I would not mind seeing it.”

A follow-up question offered options on how policies should be enforced, such as “Facebook decides the rules on its own” or “external experts decide the rules and tell Facebook”. to know more please check : http://www.bbc.com/news/technology-43296588

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Software Engineering / Emerging technologies for an emerging economy
« on: March 06, 2018, 03:43:44 PM »
Bangladesh has been riding the growth waves in the last two-and-a-half decades with spectacular results: our exports grew six folds, our GDP quadrupled and our extreme poverty levels got slashed by more than half, not to mention our 30 percent increase in longevity and other human development achievements. Many global institutions from Gartner and McKinsey to Wall Street investment banks and the World Bank have been projecting continued healthy growth of our economy and our sure-shot place among the top economic powerhouses of this century.

Sustaining such a growth trajectory for a country with little natural resources, small geographical footprint and the sixth highest population in the world can only be possible through adoption of a diverse array of the latest technologies that will help us eke out an ever-greater output per capita and per square metre. Technology has always been a driver of change and societal development at many levels. We may argue all we want on the merits and demerits of technology but ignoring technological developments is not an option.

Source: Daily star

55
Software Engineering / Future of Learning & Development
« on: March 06, 2018, 03:41:00 PM »
Social and collaborative tools are the highest priorities for companies looking to deliver effective training to their employees, customers, and partners. At the same time, mobility is playing a major role in the L&D industry: the workforce is no longer confined to a single space and time – it is constantly moving, and people need to have access to training anywhere, anytime. Many companies are also looking at business intelligence as a key element of their training strategies: this is why data analytics is becoming more important than ever.

And what about content? We can identify 2 main trends here: the first is content management, which is crucial to giving companies the ability to organize training content and deliver training in a more productive way. The second, microlearning, is rising as a huge trend as well – and it makes perfect sense: especially when delivered through mobile platforms, microlearning is the perfect way to train people at specific moments of need, with small yet powerful content that can improve people’s knowledge and skills.

How are companies approaching innovation?

According to a recent report by Brandon Hall Group, nearly two-thirds of companies have either a poorly defined technology strategy or no strategy at all. It’s not that these companies are not aware of the need for change. It’s rather that they are not ready to move forward in exploring new opportunities and implementing these in their learning technology stacks (which are usually a combination of Learning Management Systems, Authoring Tools, Collaborative Learning Tools and Simulations/Gamification tools).

This is why, even when the satisfaction rate with their currently adopted technology is not up to par, many companies still struggle when it comes to finding a new L&D approach. Interestingly enough, the market leaders are the companies which are moving towards a new, more effective approach by focusing on innovation. How are they doing it? They are putting a solid effort into the selection and implementation phases of their new technologies, as a poor selection process usually leads to misguided expectations and unexpected costs.

At the end of the day, one thing is absolutely clear: enterprises of various sizes have started to consider eLearning as a viable solution to their budget and productivity- related issues, and they are progressively embracing new learning and training tools. This is why, according to Brandon Hall Group, L&D leaders will allocate future budgets to stay in line with company growth goals.


Source : www.docebo.com

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Software Engineering / Top 7 e-learning blog
« on: March 06, 2018, 03:37:25 PM »
1) Shannon Tipton's Learning Rebels Blog
2) Arun Pradham's Design 4 Performance Blog
3) Crag Weiss's 24x7 Blog
4) Follow THE Guild with Twist
5) Rob Hubbard's LearningAge Solutions
6) ATD's Science of Learning and Human Capital Blog
7) Bonus: Learning Solution's Magazine

Source : google.com

57
For thousands of years, people have looked up at the stars, recorded observations, and noticed patterns. Some of the first objects early astronomers identified were planets, which the Greeks called “planētai,” or “wanderers,” for their seemingly irregular movement through the night sky. Centuries of study helped people understand that the Earth and other planets in our solar system orbit the sun—a star like many others.

Today, with the help of technologies like telescope optics, space flight, digital cameras, and computers, it’s possible for us to extend our understanding beyond our own sun and detect planets around other stars. Studying these planets—called exoplanets—helps us explore some of our deepest human inquiries about the universe. What else is out there? Are there other planets and solar systems like our own?

Though technology has aided the hunt, finding exoplanets isn’t easy. Compared to their host stars, exoplanets are cold, small and dark—about as tricky to spot as a firefly flying next to a searchlight … from thousands of miles away. But with the help of machine learning, we’ve recently made some progress.

One of the main ways astrophysicists search for exoplanets is by analyzing large amounts of data from NASA’s Kepler mission with both automated software and manual analysis. Kepler observed about 200,000 stars for four years, taking a picture every 30 minutes, creating about 14 billion data points. Those 14 billion data points translate to about 2 quadrillion possible planet orbits! It’s a huge amount of information for even the most powerful computers to analyze, creating a laborious, time-intensive process. To make this process faster and more effective, we turned to machine learning.

Sourse : blog.google

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