The Growth of Solar Power In India

In Past few years India is moving toward the renewable energy. Recently Isro has launched a Solar Calculator application, that allows for accurate calculation of the benefit of installing solar panels at any location in the country. The application allows for the calculation of solar energy potential, which is an important preliminary step for selecting appropriate locations to set up solar photovoltaic thermal power plants. The application has been developed by the Space Application Center facility of Isro, in Ahmedabad, at the request of the Ministry of New and Renewable Energy.The Solar Calculator is very useful for setting up photovoltaic solar panels. A number of locations are available in the drop down menu, it is possible to directly click on a location in a map, or navigate using precise geographic co-ordinates. The solar energy potential of that location is shown in kWh/m2 or mJ/m2. If application can also acquire the location using GPS. The solar potential is calculated using data processed from Indian satellites, including the Kalpana-1, the Insat-3D and the Insat-3DR.

The information of the solar energy potential is accompanied by other useful information for setting up solar panels. An internet connection is needed to make the necessary calculations. There are visualisations and tables included for the duration of the days over the course of a year. If there are obstruction to sunlight because of terrain, that is calculated as well, using a digital elevation model. There is a suggestion for the optimum angle to set up the solar panels as well.The application is available On the web and for the Android Platform. The Android application is a small file, less than 2 MB in size, but we were not able to get it to work. The application is not yet available on the Play Store or any other store. The solar calculator app provides similar functionality to Google’s Project Sunroof.

After few day of launching Solar Calculator Android App, ISRO successfully demonstrated solar electric hybrid car. The effort was a initiative that combined expertise from the fields of automotive, electrical, mechanical & chemical engineering. A solar panel to fit on the roof of the car was developed, along with an integral gearbox, control electronics for the battery & solar panel & a conversion kit for fitting an electric motor to a vehicle with an internal combustion engine.

Energy was supplied to the car through Lithium ion batteries, with a high power super-capacitor to meet the power demand during conditions that required peak torque. The high capacity solar panel mounted on the roof of  the vehicle continuously geared up the battery,as long as sunlight was available. The solar hybrid vehicle was successfully demonstrated in a test drive, including an uphill drive.In these efforts ISRO promotes the use of renewable energy in various sectors which will going to act as an important resource in future.

Artificial Intelligence Will Going to Play an Important Role in Future

The booming growth of machine learning and artificial intelligence (AI), like most transformational technologies, is both exciting and scary. It’s exciting to consider all the ways our lives may improve, from managing our calendars to making  medical diagnoses, but it’s scary to consider the social and personal implications — and particularly the implications for our careers. As machine learning continues to grow, we all need to develop new skills in order to differentiate ourselves. But which ones?

It’s long been known that AI and automation/robotics will change markets and workforces. Self-driving cars will force over three thousand truck drivers to seek new forms of employment, and robotic production lines like Tesla's will continue to eat away at manufacturing jobs, which are currently at 12 million and falling. But this is just the beginning of the disruption. As AI improves, which is happening quickly a much broader set of “thinking” rather than “doing” jobs will be affected. We’re talking about jobs, that, until the last few years, we couldn’t imagine being done without the participation of an actual, trained human being.  Jobs like teacher, doctor, financial advisor, stockbroker, marketer, and business consultant.

We can look at any number of occupations to see that this holds true.  Doctors perform tests, analyze the results, interpret the results to make a diagnosis, plan a course of treatment, and then work with the patient to make this treatment plan a reality.Financial advisers gather and analyze data about their clients and potential investment vehicles, interpret the implications given a variety of factors such as risk tolerance, recommend an investment strategy, and help their clients carry this strategy out over time.

Some people may say that we will never trust machines with important decisions such as the management of our health and money, but this is twentieth century thinking.  But a new generation is engaging with smart machines that they trust, and often prefer.  Further, it’s hard for anyone to argue with results.  IBM’s Watson is already cracking medical cases that stump doctors.It takes a person, however, to sit with a patient, understand their life situation (finances, family, quality of life, etc.), and help determine what treatment plan is optimal.

Don’t fight the progress of technology. Machine learning and AI have the ability to improve outcomes and lower cost — so don’t fight the robots. Welcome the change in our industry and work to make it fruitful and complementary.What we have to offer — what we can do better than any smart machine — is relate to the people around us.If we can be an outstanding motivator, manager, or listener, then we will still have a part to play as technology changes our industry.

Machine Learning

Nowadays, Machine Learning is the most popular growing technology. Machine Learning is a type of Artificial Intelligence that provides computers with the ability to learn without being explicitly programmed. Machine Learning focused on the development of computer programs that can change when exposed to new data.

The process of Machine Learning is similar to that of data mining. Both system search through data to look for patterns. However extracting data for humans comprehension as in the case in data mining application machine learning uses that data to detect pattern in data & adjust accordingly. Machine Learning algorithms are often categorized as being Supervised or Unsupervised. Supervised algorithms can apply what has been learned in the past to new data while Unsupervised algorithm can draw inference from data sheet.

                          

 How Machine Learning is different from Artificial Intelligence?

AI is a branch of computer science attempting to build machines capable of intelligent behavior, while Stanford University defines machine learning as "the science of getting computers to act without being explicitly programmed". You need AI researchers to build the smart machines, but you need  machine learning experts to make them truly intelligent. Google currently working on developing this machine learning; desperately pushing computers to learn the way a human would in order to progress what many are calling the next revolution in technology – machines that 'think' like human.

Over the past decade, machine learning has given us self driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. But how does it work?

Let’s take a very simplified example. When you make a typo, for instance, while searching in Google, it gives you the message: "Did you mean..."? This is the result of one of Google's machine learning algorithms; a system that detects what searches you make a couple seconds after making a certain search.

                          

For example, suppose you were searching for 'WIRED' on Google but accidentally typed 'Wored'. After the search, you'd probably realize you typed it wrong and you'd go back and search for 'WIRED' a couple of seconds later. Google’s algorithm recognizes that you searched for something a couple of seconds after searching something else, and it keeps this in mind for future users who make a similar typing mistake. As a result, Google 'learns' to correct it for you. While this is a very basic example, data scientists, developers, and researchers are using much more complex methods of machine learning to gain insights previously out of reach. 

AI is the science and machine learning is the algorithms that make the machines smarter. "AI is going to bring major shifts in society through developments in self-driving cars, medical image analysis, better medical diagnosis, and personalized medicine. And it will also be the backbone of many of the most innovative apps and services of tomorrow". But in order for AI to progress, machine learning must make big jumps in terms of performance, and this is rarely possible in the traditional high-performance computing world, where problems are well-defined and optimization work has already been happening for many years.

                             

Machine learning algorithms still have room for improvement, and that’s why a lot of the large technology companies are making it a central focus to their strategy, and working tirelessly to make it more intelligent, in order to push forward and create the next innovation, such as completely autonomous and 100 per cent safe self-driving cars.

Artificial Intelligence Will Predict how Scenes Will Play Out

A new artificial intelligence system can take still images and generate short videos that simulate what happens next similar to how humans can visually imagine how a scene will evolve, according to a new study.Humans intuitively understand how the world works, which makes it easier for people, as opposed to machines, to envision how a scene will play out. But objects in a still image could move and interact in a multitude of different ways, making it very hard for machines to accomplish this feat, the researchers said. But a new, so-called deep learning system was able to trick humans 20 per cent of the time when compared to real footage.Researchers at the Massachusetts Institute of Technology (MIT) pitted two neural network against each other, with one trying to distinguish real videos from machine-generated ones, and the other trying to create videos that were realistic enough to trick the first system.

Early Stages

Still, film directors probably don’t need to be too concerned about machines taking over their jobs yet — the videos were only 1 to 1.5 seconds long and were made at a resolution of 64 x 64 pixels. But the researchers said that the approach could eventually help robots and self driving cars navigation dynamic environments and interact with humans, or let Facebook automatically tag videos with labels describing what is happening.

The system is also able to learn unsupervised, the researchers said. This means that the two million videos — equivalent to about a year's worth of footage — that the system was trained on did not have to be labeled by a human, which dramatically reduces development time and makes it adaptable to new data.

AI Filmmakers

The MIT team is not the first to attempt to use Artificial Intelligence  to generate video from scratch. But, previous approaches have tended to build video up frame by frame, the researchers said, which allows errors to accumulate at each stage. Instead, the new method processes the entire scene at once — normally 32 frames in one go.

The results are far from perfect, though. Often, objects in the foreground appear larger than they should, and humans can appear in the footage as blurry blobs, the researchers said. Objects can also disappear from a scene and others can appear out of nowhere, they added.

"The computer model starts off knowing nothing about the world. It has to learn what people look like, how objects move and what might happen," Vondrick said. "The model hasn't completely learned these things yet. Expanding its ability to understand high-level concepts like objects will dramatically improve the generations."

Another big challenge moving forward will be to create longer videos, because that will require the system to track more relationships between objects in the scene and for a longer time, according to Vondrick.

"To overcome this, it might be good to add human input to help the system understand elements of the scene that would be difficult for it to learn on its own," he said.

Digital Currency

Nowadays the World is moving towards the Digitalization. Some countries are rapidly entering into the world of Digitalization in various field.  Digital Currency is one of the technology which will going to take an important role in future. Recently Sweden's Central Bank considers Digital currency as well as Singapore to Test Digital Currency in latest Fintech Inetiative. Digital currency or digital money is an Internet-based medium of exchange distinct from physical (such as banknotes and coins) that exhibits properties similar to physical currencies, but allows for instantaneous transactions and borderless transfer-of-ownership. Both virtual currencies and cryptocurrencies are types of digital currencies, but the converse is incorrect. Like traditional money these currencies may be used to buy physical goods and services but could also be restricted to certain communities such as for example for use inside an on-line game or social network.

According to the European Central Bank's "Virtual currency schemes – a further analysis" report of February 2015, virtual currency is a digital representation of value, not issued by a central bank, credit institution or e-money institution, which, in some circumstances, can be used as an alternative to money. In the previous report of October 2012, the virtual currency was defined as a type of unregulated, digital money, which is issued and usually controlled by its developers, and used and accepted among the members of a specific virtual community. According to the Bank For International Settlements' "Digital currencies" report of November 2015, digital currency is an asset represented in digital form and having some monetary characteristics. Digital currency can be denominated to a sovereign currency and issued by the issuer responsible to redeem digital money for cash. In that case, digital currency represents electronic money (e-money). Digital currency denominated in its own units of value or with decentralized or automatic issuance will be considered as a virtual currency. As such, bitcoin is a digital currency but also a type of virtual currency. Bitcoin and its alternatives are based on cryptographic algorithms, so these kinds of virtual currencies are also called cryptocurrencies.

Types of Digital Currencies

Virtual Currency :A virtual currency has been defined in 2012 by the European Central Bank as "a type of unregulated, digital money, which is issued and usually controlled by its developers, and used and accepted among the members of a specific virtual community". The US Department Treasury in 2013 defined it more tersely as "a medium of exchange that operates like a currency in some environments, but does not have all the attributes of real currency". The key attribute a virtual currency does not have according to these definitions, is the status as legal tender.

Cryptocurrency : A cryptocurrency is a type of digital token that relies on cryptography for chaining together digital signatures of token transfers, peer to peer networking and decentralization. In some cases a proof of work scheme is used to create and manage the currency.

Digital currencies have introduced, a competition to government backed legal tender. Though the architecture of digital currencies is still unstable. We need to understand this new medium in the context of our regulatory framework in much more holistic manner.    

Solar Power Tree: A New Era of Renewable Energy Sources

Sometimes it seems like a new week, a new solar technology record achieved. It's an exciting time in solar technology. Researchers are constantly looking for a more efficient solar cell - one that can convert the most amount of sunlight into electricity so that the technology can not just compete with fossil fuels, but blow them out of the water.

In India, The Ministry of Science and Technology has come up with a 'Solar Power Tree', an innovative way to generate electricity using solar power in a limited space. Developed by the Central Mechanical Engineering Research Institute (CMERI), Durgapur, a laboratory of the Council for Scientific and Industrial Research (CSIR), the solar power tree model is actually designed like a tree with branches made of steel to hold the photovoltaic panel.

"It takes less land of only 4 sq ft for a 5 kW solar power tree as compared to 400 sq ft of land required in case of the conventional solar photovoltaic layout. "It holds the panels at a higher height - thus gets more sun (by 1 hour) in a day in comparison to that of conventional layout on ground. This could also be rotated so that the photovoltaic panel get more sunlight. Thus, it is possible to harness 10-15 per cent more power. It has a water sprinkler at the top for self-cleaning of panels.The solar power tree has a capacity to generate 5 KW with a battery backup for 2 hours when under full load.

The minister said the solar power tree has no urban or rural barrier for its usage and is also cost effective.He said, in future, it would be possible to harness 10 per cent more power by rotating panel direction twice in a day by using a module that aligns itself with the movement of sun. Also, aesthetic aspects would be incorporated in the design of solar tree for landscaping. Therefore it's a great step from Government of India in Renewable Energy sector.

Third World War

Since last 2-3 months everyday we are hearing one word 'Third World War'.The situation of the entire world is very critical. The world is moving towards the demolition. Everyday many people's are dying due to terrorist attack. We should thank to our God that we are not in syria or in Iraq.

But exactly before 10 years ago no one was said about the Third World War except one my Sadguru my Mentor, my Dad Dr.Aniruddha Dhairyadhar Joshi (M.D. Medicine & Consulting Rheumatologist).He wrote the book on Third World War and published it in 2006. He gave us the basic identification of war. What exactly the war is? Which countries will participate in Third World War? what will be the effects of war on entire world?...Now after 10 years the scenario of entire world is exactly same as he mentioned in his book...so its my humble request to you all wake up & read this book once...You can also buy this book from aanjaneya publication website:
(website link: http://www.e-aanjaneya.com/productDetails.faces?productSearchCode=TWMRDL)