Automation, an extension of artificial intelligence

Increased efficiency and effectiveness demands have proliferated increasing usage of robotics in every aspects of life. Automation has become an integral part of any individual's daily routine. With simple automation, the ultimate control still lies in the hands of human where they set controls for each input to the machine. However, with increasing developments in the field of artificial intelligence, there has been an increasing shift towards providing autonomy to the machine itself. Artificial Intelligence and robotics are two powerful technologies and their collations result in even powerful facet of technology. A plethora of applications can be performed efficiently with the usage of artificial intelligence and robotics, and thus eliminating the needs of human labor.
Increasing needs of automations and demands for lesser human interventions in daily operational tasks across various industry verticals are anticipated to be the major factors driving the artificial intelligence in robotics market. Higher initial costs of implementations of artificial intelligence in robotics is anticipated to hinder the growth of artificial intelligence in robotics market. Significant investments by researches and Government on the development of highly efficient artificial intelligence in robotic devices and machines is anticipated to provide vast opportunities to the players operating in the artificial intelligence in robotics market.
The "Robotics Analysis " is a specialized and in-depth study of the Artificial intelligence in robotics market with a focus on the global market trend. The report aims to provide an overview of the global artificial intelligence in robotics market with detailed market segmentation by technology, robot type, end-user, and geography. The global artificial intelligence in robotics market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the market.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global artificial intelligence in robotics market based on the technology, robot type, and end-use. It also provides market size and forecast till 2027 for overall artificial intelligence in robotics market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The artificial intelligence in robotics market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
Besides this, the report analyzes factors affecting market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the artificial intelligence in robotics market in these regions. Further, the report also includes ecosystem analysis for the artificial intelligence in robotics market.
We will be publishing the Report in our next segment..

Involvement of AI in Writing - Write Your Imagination with AI Tools

Professional writing isn’t easy. As a blogger, journalist or reporter, you have to meet several challenges to stay at the top of your trade. You have to stay up to date with the latest developments and at the same time write timely, compelling and unique content.The same goes for scientists, researchers and analysts and other professionals whose job involves a lot of writing.

Fortunately, Artificial Intelligence, which is fast permeating every aspect of human life, has a few tricks up its sleeve to boost the efforts of professional writers.

Introducing AI based new Smart proofreading tool: 

In 2014, George R. R. Martin, the acclaimed writer of the Song of Ice and Fire saga, explained in an interview how he avoids modern word processors because of their pesky auto-correct and spell checkers.

Software vendors have always tried to assist writers by adding proofreading features to their tools. But as writers like Martin will attest, those efforts can be a nuisance to anyone with more-than-moderate writing skills.

However, that is changing as AI is getting better at understanding the context and intent of written text. One example is Microsoft word new editor feature, a tool that uses AI to provide more than simple proofreading.

Editor can understand different nuances in your prose much better than code-and-logic tools do. It flags not only to grammatical errors and style mistakes, but also the use of unnecessarily complex words and overused terms. For instance, it knows when you’re using the word “really” to emphasize a point or to pose a question.

It also gives eloquent descriptions of its decisions and provides smart suggestions when it deems something as incorrect. For example if it marks a sentence as passive, it will provide a reworded version in active voice.

Editor has been well received by professional writers (passive voice intended), though it’s still far from perfect.

Nonetheless AI-powered writing assistance is fast becoming a competitive market. Grammarly , a freemium grammar checker that installs as a browser extension, uses AI to help with all writing tasks on the web. Atomic Reach is another player in the space, which uses machine learning to provide feedback on the readability of written content.

Impact of Machine Learning and Robotics on Society and global market - Dr. Kunal Singh Berwar

Over the past few years, artificial intelligence has rapidly matured as a viable field of technology. Machines that learn from experience, adjust to new inputs, and perform tasks once uniquely the domain of humans, have entered our daily lives in ways seen and unseen. Given the current breakneck pace of change and innovation, the question for governments and policymakers is how to harness the benefits of artificial intelligence, and not be trampled by the robot takeover of our nightmares. The answer is simple: make them work for us.

There are four areas of artificial intelligence and machine learning of importance 

1. Governance: The need to address the provenance of data, as well as matters of privacy and informed consent before basing analysis or grounding policy advice on Big Data or the algorithms used to generate findings. Big Data is dynamic, heterogeneous, and may originate in sectors that do not map cleanly to the existing lines of responsibility or expertise. For example, data generated from e-commerce, the Internet of Things, satellite data, or supply-chain and logistics data are not yet well understood or integrated in how we assess the health of a country’s economy. Countries will need to develop expertise in the use of such micro-level data.
2. Labor markets: Labor markets will look different in the next few years. There will be fewer middle-skilled jobs, such as insurance claims processing or jobs performed in a constrained physical space, like fork-lift operator or order expediter. These sorts of jobs have been more resistant to offshoring or automation so far. But they may disappear soon, as artificial intelligence improves and robots are more able to make decisions based on ambiguous situations. This has implications for education, retirement, and social welfare programs. Large numbers of middle-class jobs may be eliminated, leading to unemployment or underemployment. Some jobs will require extensive retraining to ensure that workers can perform the work. Many countries are already facing rapidly aging populations. Should large numbers of workers leave the labor market prematurely, governments will find it even more difficult to fund social-welfare and retirement benefits.  
3. Taxes: By implication, should labor markets rapidly shed middle-skilled or low-skilled jobs as many predict, the tax structures of many countries will need to reflect the decreasing share of GDP attributable to wages and salaries. Among the Organisation for Economic Cooperation and Development countries, roughly half of government revenue is derived from individual income or social insurance taxes. If labor becomes a smaller part of developed economies, tax structures will need to change to sustain government revenues near current levels, and to avoid creating further disincentives to the creation of jobs. For example, Microsoft founder Bill Gates suggested that a tax might be levied on robots.
4. Social equity: Computer-driven decision-making should be open to scrutiny and inspection, and must not simply be automated versions of mental models that embed legacies of social inequality. For instance, some businesses make use of data to offer personalized pricing, based on predictive models about the future revenue stream that a potential customer might provide.  Some customers who do not match an optimal profile might be “invited to leave quietly.” Such redlining of particular groups of customers may lead to further marginalization, leading to a self-fulfilling prophesy.  

Economists generally build models and then refine them to reduce error and improve robustness. Many artificial intelligence methods are impervious to external analysis, because software based on artificial intelligence learns and adapts as it encounters new data. After millions of iterations, the algorithm itself will have changed substantially. “The algorithm told me to do it,” is unlikely to withstand public inquiry as the basis for policy development.

Automation in AI and Insecurity of Loosing Jobs - Dr. Kunal Singh Berwar

I’ve been noticing how articles about how AI, robots, or automation will impact the future job outlook. All seem to reuse the same terms, like “disrupt”, “steal”, or “threaten”. The thesaurus has only so many terms to go around I suppose. I got to wondering which terms were most popular, and then how they’ve changed over time.

So I ran some queries. My goal was not as much sentiment tracking as it was hyperbole tracking. By hyperbole I mean the breathless, panicky articles that tend to track progress. The worst of them bet on winners (few and unworthy) and losers (all of us!), cherry pick the most extreme studies that seem to prove their point, and extrapolate long straight lines from nascent trends.

Just as Gartner tracks the hype cycles of technologies, there is a “hyperbole cycle” for scary technologies. I first noticed it covering “enterprise attention management” (a more actionable, business-focused version of the “information overload” meme). 2004-05 seemed to be peak terror about digital distractions making our caveman brains explode. A term hits the mainstream with “sky is falling articles”, they acquire academic cred as long time academics whose work connects to the narrative find sudden fame, then counter-articles appear popping the bubble, and finally it settles into a low buzz.

Which brings me back to my current work on how organizations can planfully adopt and vendors and service providers can responsibly sell AI, robotic, and automation technology. I wanted to see how the terms associated with these technologies has evolved in headlines over time. I searched for all headlines since 2013 that involved the term, work/jobs, and AI/robots/automation (and variants – see Boring Details below). I used a scale of terms from the neutral “transform” (which could be good or bad, and doesn’t make a statement about losing your job) to “kill” (’nuff said). Read the next publication to know the results !

AI and the World - Basic Category of AI

AI can be categorized as either weak or strong. Weak AI, also known as narrow AI, is an AI system that is designed and trained for a particular task. Virtual personal assistants, such as Apple's Siri, are a form of weak AI. Strong AI, also known as artificial general intelligence, is an AI system with generalized human cognitive abilities. When presented with an unfamiliar task, a strong AI system is able to find a solution without human intervention.

Because hardware, software and staffing costs for AI can be expensive, many vendors are including AI components in their standard offerings, as well as access to Artificial Intelligence as a Service platforms. AI as a Service allows individuals and companies to experiment with AI for various business purposes and sample multiple platforms before making a commitment.

WHY SHOULD YOU JOIN B.SC(IT) COURSE FOR GRADUATION

In modern education scenarios, students chose their graduation subjects according to market trends. Boom in technological aspects of every field has increased demand of technical degree at entry level jobs. IT sector has become most job providing sector in India. Abundance of 4-year conventional engineering Degree college, less seats, obsolete curriculum has just contributed to its discontinuity.

B.sc(IT) is a good option and has its short and precise academic curriculum made it pick of the bunch. It is a three year course which mainly focusses on programming language, data structure, web developments, Networking, SQL etc.

It is a job oriented course that caters to the needs of the IT Industry. IT Industry has had its phases of gloom. Still, the sector has been growing in the recent past. Many IT parks and Hubs are being introduced across many Indian states. So, under such circumstances, going for B.Sc. IT will help one acquire sound IT skills that will help him/her land a decent job in the IT sector. Thanks to the arrival of Digital India and Tech Start-up culture, IT professionals’ demand on the rise!

there are many colleges which provides this courses but patronage Institute in Greater Noida is one of the best Best BSC Institute in Noida Patronage provide many tools which helps in development of students at professional level. Its campus is designed to cater the need of a IT Professional and there are many Digital initiatives which make a student IT literate in minimal time.

Advantages of Doing B.sc (It) from patronage

•  Full Scholarship for academic years

Patronage is the only institute in Greater Noida area which provide Full Scholarships for meritorious students. Their scholarship programme is backed by UNICEF and GGSF so it’s also provide students for a Global exposure. Students will be evaluated by top organisation so there will be great chances for bigger employment opportunities.

• Employment Opportunities in Research and Development Fields

Patronage institute is controlled by KMI Group. KMI is MNC and has its bases in USA, Singapore, Malaysia, Australia and has its consumer base across the globe. So placement has not been an issue here. Students can get opportunities for various Technical Field . students can get opportunity to work for tech laboratories.

• Digital initiatives

Patronage has taken many tech initiatives like E-library which give online access to all the study materials within the reach of mobile phone and laptop/PC. It also provides latest technology blogs and articles by top corporate professionals. Its students monitoring system is a one of a kind system which help students to check their improvements and course completion.

•  Highly qualified faculty

Patronage boost a faculty of highest esteem as its faculty members include people from Stanford’s university, IIT, IIM and top institutes. Patronage group main focus is on developing education system in India and It is just a beginning for becoming one of the top college for IT courses not only in India but in whole world.

• Additional AI certification without any charges

To make students more competent for today’s market Patronage provide AI certification courses from Stanford’s University on top of Degree course. This course is so designed to align AI advantages in Programmes and other existing system. It will give students an upper hand in getting employment. This also help students to get into a whole new field without giving too much time for its basic education.AI is latest Field which has huge potential and will ready professionals for future world.

Patronage Institute offer B.sc in IT (Information Technology), PIOM Noida is one of the top B.sc IT College in Delhi NCR. BSC IT Institute in Noida - Find the top BSC IT colleges for study BSC IT programs in Noida. We offer BSC IT courses with high and quality education through a variety of methods and strategies for our students.

We Run the World’s Machine Learning Literally.

AI Layer Powers the UN Methods Service

Algorithmic is renewing its commitment to global humanitarian efforts by making powerful ML tools available to everyone.

Economic and population data are key elements of planning and decision-making in first-world countries, but access to sophisticated analytic and compute power is limited or non-existent in developing countries.

Meeting the Problem Head On

Working in conjunction with the United Nations Global Platform for Official Statistics, Algorithmia built a repository of algorithms that are readily available to any data scientist of any member state at any time. There are models for predicting economic, environmental, and social trends to enable smarter decision-making for strategies like agricultural planning, flooding probabilities, and curbing deforestation.

The United Nations Global Platform for Official Statistics sought to build the algorithm repository as part of the Sustainable Development Goals (SDGs). The SDGs aim to meet global challenges in healthcare, poverty, environmental degradation, and inequality by 2030. The algorithm repository will serve member states to “establish strategies to reuse and adapt algorithms across topics and to build implementations for large volumes of data.” UN Big Data

Building an Algorithm Marketplace for the Developing World

The UN wanted a way to share models with underdeveloped countries to curate economic, environmental, and social data to save lives and improve health and environmental conditions. Using the UN algorithm repository, for example, a developing country could model farmland satellite imagery to predict draughts, urbanization trends, or migration patterns.

Such statistical information can be used in myriad ways by both humanitarian organizations and policy-making, governmental bodies to make smarter resource-allocation decisions, better understand urban planning needs from population data, and even predict migration crop cycles using geospatial imagery.

The UN’s partnership with Algorithmia demonstrates our dedication to leveraging AI and machine learning to seek solutions to global problems. We are so looking forward to empowering the developing world, one algorithm at a time.

Source: Algorithmia

Predictions - The impact on society of animal-like machines

Finally, what will be the impact on society of animal-like machines? Let's make a few predictions that I will later look back and laugh at.

First, family robots may be permanently connected to wireless family intranets, sharing information with those who you want to know where you are. You may never need to worry if your loved ones are alright when they are late or far away, because you will be permanently connected to them. Crime may get difficult if all family homes are full of half-aware, loyal family machines. In the future, we may never be entirely alone, and if the controls are in the hands of our loved ones rather than the state, that may not be such a bad thing. 

Slightly further ahead, if some of the intelligence of the horse can be put back into the automobile, thousands of lives could be saved, as cars become nervous of their drunk owners, and refuse to get into positions where they would crash at high speed. We may look back in amazement at the carnage tolerated in this age, when every western country had road deaths equivalent to a long, slow-burning war. In the future, drunks will be able to use cars, which will take them home like loyal horses. And not just drunks, but children, the old and infirm, the blind, all will be empowered. 



Eventually, if cars were all (wireless) networked, and humans stopped driving altogether, we might scrap the vast amount of clutter all over our road system - signposts, markings, traffic lights, roundabouts, central reservations - and return our roads to a soft, sparse, eighteenth-century look. All the information - negotiation with other cars, traffic and route updates - would come over the network invisibly. And our towns and countryside would look so much sparser and more peaceful.

What category of problems could animal-like machines address?

The kind of problems we are going to see this approach tackle will be problems that are somewhat noise and error resistant and that do not demand abstract reasoning. A special focus will be behavior that is easier to learn than to articulate - most of us know how to walk but we couldn't possibly tell anyone how we do it. Similarly with grasping objects and other such skills. These things involve building neural networks, filling in state-spaces and so on, and cannot be captured as a set of rules that we speak in language. You must experience the dynamics of your own body in infancy and thrash about until the changing internal numbers and weights start to converge on the correct behavior. Different bodies mean different dynamics. And robots that can learn to walk can learn other sensorimotor skills that we can neither articulate nor perform ourselves.

 

What are examples of these type of problems? Well, for example, there are already autonomous lawnmowers that will wander around gardens all afternoon. The next step might be autonomous vacuum cleaners inside the house (though clutter and stairs present immediate problems for wheeled robots). These are all sorts of other uses for artificial animals in areas where people find jobs dangerous or tedious - land-mine clearance, toxic waste clearance, farming, mining, demolition, finding objects and robotic exploration, for example. Any jobs done currently or traditionally by animals would be a focus. We are familiar already from the Mars Pathfinder and other examples that we can send autonomous robots not only to inhospitable places, but also send them there on cheap one-way `suicide' missions. (Of course, no machine ever `dies', since we can restore its mind in a new body on earth after the mission.) 

Whether these type of machines may have a future in the home is an interesting question. If it ever happens, I think it will be because the robot is treated as a kind of pet, so that a machine roaming the house is regarded as cute rather than creepy. Machines that learn tend to develop an individual, unrepeatable character which humans can find quite attractive. There are already a few games in software - such as the Windows-based game Creatures, and the little Tamagotchi toys - whose personalities people can get very attached to. A major part of the appeal is the unique, fragile and unrepeatable nature of the software beings you interact with. If your Creature dies, you may never be able to raise another one like it again. Machines in the future will be similar, and the family robot will after a few years be, like a pet, literally irreplaceable. 

What will hold things up? There are many things that could hold up progress but hardware is the one that is staring us in the face at the moment. Nobody is going to buy a robotic vacuum cleaner that costs £5000 no matter how many big cute eyes are painted on it or even if it has a voice that says, "I love you". Many conceptual breakthroughs will be needed to create artificial animals. The major theoretical issue to be solved is probably representation: what is language and how do we classify the world. We say `That's a table' and so on for different objects, but what does an insect do, what is going on in an insect's head when it distinguishes objects in the world, what information is being passed around inside, what kind of data structures are they using. Each robot will have to learn an internal language customized for its sensorimotor system and the particular environmental niche in which it finds itself. It will have to learn this internal language on its own, since any representations we attempt to impose on it, coming from a different sensorimotor world, will probably not work. 

The confused history of AI - by Dr. Kunal Singh Berwar

Looking back at the history of AI, we can see that perhaps it began at the wrong end of the spectrum. If AI had been tackled logically, it would perhaps have begun as an artificial biology, looking at living things and saying "Can we model these with machines?". The working hypothesis would have been that living things are physical systems so let's try and see where the modeling takes us and where it breaks down. Artificial biology would look at the evolution of physical systems in general, development from infant to adult, self-organization, complexity and so on. Then, as a subfield of that, a sort of artificial zoology that looks at sensorimotor behavior, vision and navigation, recognizing, avoiding and manipulating objects, basic, pre-linguistic learning and planning, and the simplest forms of internal representations of external objects. And finally, as a further subfield of this, an artificial psychology that looks at human behavior where we deal with abstract reasoning, language, speech and social culture, and all those philosophical conundrums like consciousness, free will and so forth. 

That would have been a logical progression and is what should have happened. But what did happen was that what people thought of as intelligence was the stuff that impresses us. Our peers are impressed by things like doing complex mathematics and playing a good chess game. The ability to walk, in contrast, doesn't impress anyone. You can't say to your friends, "Look, I can walk", because your friends can walk too. 

So all those problems that toddlers grapple with every day were seen as unglamorous, boring, and probably pretty easy anyway. The really hard problems, clearly, were things demanding abstract thought, like chess and mathematical theorem proving. Everyone ignored the animal and went straight to the human, and the adult human too, not even the child human. And this is what `AI' has come to mean - artificial adult human intelligence. But what has happened over the last 40-50 years - to the disappointment of all those who made breathless predictions about where AI would go - is that things such as playing chess have turned out to be incredibly easy for computers, whereas learning to walk and learning to get around in the world without falling over has proved to be unbelievably difficult. 

And it is not as if we can ignore the latter skills and just carry on with human-level AI. It has proved very difficult to endow machines with `common sense', emotions and those other intangibles which seem to drive much intelligent human behavior, and it does seem that these may come more from our long history of interactions with the world and other humans than from any abstract reasoning and logical deduction. That is, the animal and child levels may be the key to making really convincing, well-rounded forms of intelligence, rather than the intelligence of chess-playing machines like Deep Blue, which are too easy to dismiss as `mindless’. 

Top Trending Technical Courses in India

In modern age Higher education has become necessity rather than choice. Technical advancement has changed the job market completely, Choosing the right course for the career is the most crucial decision to make and can be troublesome if not guided properly. In the current scenario with so many available options for courses and tough competition, it is very hard and confusing to decide for both students and parents. With so many influential people around, we often get swayed or simply do what is told by our parents.
But it is very important to know and analysis your interests as well as options available in that field. Let us have a look at the popular courses in India to understand your career option in a better way.

In general, there are two types of job profile available at any institution;

• Technical
• Non-technical

Technical educational course-

It is defined as the educational programs that specialize in the skilled trades, applied sciences, modern technologies, and career preparation. Technical programs-depending on their size, configuration, location, and mission-provide a wide range of learning experiences spanning many different career tracks, fields, and industries, from skilled trades such as automotive technology, construction, plumbing, or electrical contracting to fields as diverse as agriculture, architecture, culinary arts, fashion design, film making, forestry, engineering, healthcare, personal training, robotics, or veterinary medicine.

The practical learning experiences that are provided in technical programs appeal to many students, and certain common elements-the focus on critical thinking, new technologies, real-world settings, hands-on activities, and the application of learning to practical problems, for example—align with a growing emphasis on 21st century skills—skills that are relevant to all academic subject areas and that can be applied in educational, career, and civic contexts throughout a student’s life. Technical education programs are an antidote to some of the weaknesses of traditional academic programs. For example, rather than learning from books, taking tests, and discussing abstract concepts in classrooms, students gain practical, relevant, marketable skills that will them more employable adults after graduation.

Some of the most common and trending technical courses are: -

 Engineering B.Tech and B.Arch., M.Tech, ME, BE

 Application of mathematics, empirical evidence and scientific, economic, social, and practical knowledge in order to invent, innovate, design, build, maintain, research, and improve structures, machines, tools, systems, components, materials, processes and organizations is known as engineering. It is one of most sought after career prospectus as it has the highest paying career in the world. It is also one of the favorite program opted by many science students after completing 12th.
   
In India, you need to earn degrees in the engineering field that are regulated by the University Grants Commission (UGC) and the All India Council for Technical Education (AICTE) like B.E (Bachelor of Engineering) and B.Tech (Bachelor of Technology). After these bachelor degrees, you can further pursue M.E (Master of Engineering), M.Tech (Master of Technology) or M.S (Master of Science).

Eligibility criteria:

• Candidate should pass the 12th examination with minimum aggregate of 60% marks for PCM (Physics, Chemistry, and Mathematics) and PCB (Physics, Chemistry and Biology).
• Need to clear any engineering entrance exams i.e. JEE Main, JEE Advanced, BITSAT, VITEEE, COMEDK-UGET, KCET, KEAM, IPUCET, NATA, WBJEE, MHTCET, AP EAMCET, UPSEE, etc.
• Should not exceed 23 years on the date of examination.

Computer Application-BCA/MCA

These days the computer is an integral part of education and is also the lifeline of the young (student) generation. With the increasing popularity of computer, IT industry is also evolving and growing. Computer Application is defined as the computer program designed to perform a group of coordinated functions and tasks for the benefit of the user. The student of computer application basically study those software programs to learn to operate the system and develop new ones.

To have in depth knowledge of Computer and Information Technology, BCA (Bachelor in Computer Application) is one of the popular course in IT field. In 3 years of course duration, you will study about a database, networking, data structure, core programming languages like C++ and Java to become Software Developer/Engineer/Programmer. You can also go for Master degree in Computer Applications after BCA that is equivalent to Engineering Course B.Tech.

Eligibility Criteria:

• Minimum 50% marks including English in 12th.
• Minimum age limit is 17 years whereas maximum age limit is between 22-25 years.
• Some universities take admission on the basis of entrance examination and personal interview.
• But some universities take admission on merit basis as well.
• Some of best college in NCR and Noida region are- Amity university, Patronage institute, etc.

Non-Technical educational courses- 
It is defined as the educational programs which does not involve many technical subjects and oriented in more conceptual learning process. There are many diverse field and job categories which need a different skill-set than technical knowledge like Management, Finance, Medicine, law, Design, education, etc. these subjects need more of a theoretical knowledge than practical one.

Some of the most common and trending non-technical courses are: -

Management MBA/BBA

In an organization or business, a person who strategies and coordinates the efforts of employees is known as management. The  kind of person who think that he can easily plan, organize, select staff, lead or direct, and control an organization to accomplish various goals, then management courses can give them direction to accomplish various objectives by using human and financial resources efficiently and effectively.
Indian Institute of Management Ahmadabad and Bangalore are one of the Top Management Colleges In India. Patronage IMT, etc., are top private institution in NCR region.
As an academic discipline, there are some important degrees in management like MBA (Master of Business Administration) and MPA (Master of Public Administration). Where you can start your career as Supervisors or front-line managers, Senior Managers and then gradually can lift to Board of Directors, Chief Executive Officer (CEO) or President of an organization.

Eligibility criteria:

• At least 3-year Bachelor degree or equivalent in any stream with the minimum of 50% or equivalent marks for general category.
• In case of SC/ST or PWD (person with the disability), you need to acquire at least 45% or equivalent marks.
• Final year under-graduate student/equivalent qualification is also eligible.
• Have to clear management entrance exams i.e. CAT/XAT/CMAT/NMAT/MAT/ATMA to get admission in Management Colleges.

Medical-BDS (Bachelors in Dental Surgeon) and MBBS (Bachelor of Medicine and Bachelor of Surgery)

In our society doctor is respected the most due to the fact they are privileged to save a living being therefore sometimes given the place of god. A medical doctor is defined a person who practices medicines to treat illness and injuries. Doctor degree is considered the most prestigious degree as they have the power to heal and go to medical educational institution to learn medicine. M. B. B. S. (Bachelor of Medicine and Bachelor of Surgery), B. D. S. (Bachelor of Dental Sciences), B. H. M. S. (Bachelor of Homeopathic Medicine & Surgery) and B. A. M. S. (Bachelor of Ayurveda Medicine and Surgery) are the most famous field studied by medical students these days. All India Institute of Medical Sciences and Christian Medical College are the topmost medical colleges of India to study medicine.
A student with M.B.B.S degree receives the title of doctor and further can specialize in the various field of medicine by pursuing post-graduation degree. Upon finishing medical school, you can choose to work in hospitals, public health care or science institute. M.B.B.S is a bachelor degree in medicine and surgery with 5.5 years of duration.

Eligibility criteria:

• 10+2 pass out with English, Physics, Chemistry and Biology subject and at least 60% marks aggregate.
• Should be 17 years as on 31st December of the year of admission.
• Need to clear medical entrance examination, i.e. NEET.

Finance -B. Com (Bachelors of Commerce)/CA (Chartered Accountant)

The field that deals with the study of investment and money management is known as Finance. It is generally divided into 3 subcategories – public, corporate and personal finance. Mostly we study finance to find effective ways to manage the money of an organization in order to create wealth and value of the organization. It also includes the study of planning, raising funds, cost controlling and making wise investments for an organization. To have in-depth knowledge about the finance field you can study B.Com (Bachelors of Commerce) and CA (Chartered Accountant)/CS (Company Secretary). Indian Institute of Management is the top college for MBA in Finance.

Chartered Accountancy is one of the popular course for students who are interested in finance. They work in the field of business, finance, audit, taxation and financial management. Chartered Accountancy is the core of any business to run successfully. Before starting to practice as CA you need to gain membership of ICAI (Institute of Chartered Accountants of India) on completion of the training. Initially, you can start your career with auditing activities. There are various verticals and companies under which you can work after earning the degree like  private and public banks, auditing firms, legal firms, copyright registers and trademarks, attorneys, stock broking firms,mutual funds and investment companies.

Eligibility criteria:

• Minimum 10+2 pass out with Commerce and Mathematics subjects.
• Need to qualify CPT (Common Proficiency Test) for CA Program.
• Commerce graduate and post-graduate with minimum 55% can also apply.
• Other graduates/post-graduates with minimum 60% marks are also eligible for the CA.

Law B.ALLB/LLB

Law is defined as the system of rules that are enforced through social institutions to govern behavior that can be made by the collective or single legislator. With the help of law only, we can expect a specific kind of behavior from a set of people or society, in absence of law everything will simply look chaos, therefore is considered a crucial part of the society. Every field has specifically defined laws to avoid any sort of escalation. Law degrees basically helps us to understand the process of law and how it works. It is one of the most respectful and most sought-after course to study. National Law School of India University is the Top Indian Law School as per the Outlook 2016 ranking system.

There are basically two types of law in which you can specialize, Civil and Criminal laws. With the degree of law, you not only get a chance to work with top lawyers but also can practice as a lawyer in the court-room. With the B.A.L.L.B degree, you can seek your career in different sectors like corporate management, legal and administrative services. You can also practice as an advocate in a courtroom or can become a legal advisory for corporate firms. To become the judge, you need to clear examination conducted by Public Service Commissions. You have two options to pursue the law degree - One is to do B.A LLB, 5 years integrated program right after 10+2 and another option is of LLB program of 3 years after completing graduation.

Eligibility criteria:

• Minimum 40% marks in graduation in any stream for LLB Admission.
• For SC/ST candidate’s minimum marks required in graduation is 35%.
• Some universities and institutes who give an extra 2% marks for post-graduate students.
• Some universities conduct entrance tests like CLAT (Common Law Admission Test) and LAWCET (Law Common Entrance Test) for admission in their L.L.B and L.L.M programs.

Education Teaching-B.Ed./M.Ed.

Teaching is often defined as the profession of teaching some ideas, belief, etc. to the person and the educator who provides education is known as the teacher. Teachers play an important role in building and shaping the career of the students. It takes lots of passion, enthusiasm and dedication to mould the future generation of the country. Education is the basic necessity for growth, modernization and helps in nation building, therefore teaching is considered as the most respectful job and strength of every profession anywhere around the world. IGNOU (Indira Gandhi National Open University), Amity Institute of Education and Patronage institute are the known colleges to provide bachelor degrees in teaching.

Teaching is the most difficult job as it comes with the great responsibility of building the nation but the same factor can also make it the most rewarding job as well. To take teaching as your professional career you need to take B.Ed. (Bachelor of Education) following M.Ed. (Master in Education). It is the mandatory degree in India for teaching in secondary and higher secondary. Demand for teachers in the coming year will never decrease as with time we all are understanding the importance of education. Under the teaching domain, you can aim for technical or special education teaching, technical assistant, pre-school-director, etc.

Eligibility criteria:

• For B.Ed. the degree you at least need to have bachelors in Arts/Science/Commerce with minimum 50% marks.
• Students need to give entrance test conducted by universities and various educational bodies conducted generally in the month of June-July.

Some of the other courses are

Designing - Fashion/Interior/Web

Hospitality (Hotel) - Hotel Management, BHMCT (Bachelors in Hotel Management and Catering Technology)

Arts Psychology and Sociology

Etc.

General Overview of Artificial Intelligence - by Dr. Kunal Singh Berwar

Artificial Intelligence (AI) is a perfect example of how sometimes science moves more slowly than we would have predicted. In the first flush of enthusiasm at the invention of computers it was believed that we now finally had the tools with which to crack the problem of the mind, and within years we would see a new race of intelligent machines. We are older and wiser now. The first rush of enthusiasm is gone, the computers that impressed us so much back then do not impress us now, and we are soberly settling down to understand how hard the problems of AI really are. 

What is AI? In some sense it is engineering inspired by biology. We look at animals, we look at humans and we want to be able to build machines that do what they do. We want machines to be able to learn in the way that they learn, to speak, to reason and eventually to have consciousness. AI is engineering but, at this stage, is it also science? Is it, for example, modeling in cognitive science? 

We would like to think that is both engineering and science but the contributions that is has made to cognitive science so far are perhaps weaker than the contributions that biology has given to the engineering. Keep reading our blog for more information on AI.