Significance of Artificial Intelligence?

Artificial Intelligence is the machines which are planned and customized in such a way, that they think and act like a human.

Artificial Intelligence reasoning turns into the significant piece of our every day life. Our life is changed by AI since this innovation is utilized in a wide region of everyday administrations.

These innovations diminish human exertion. Presently in numerous businesses, individuals are utilizing this innovation to create machine captives to play out the distinctive action. Utilizing the machine for the stir accelerate your procedure of doing work and give you a precise outcome.

The presentation of AI brings the possibility of mistake free world. This innovation will gradually acquaint in all the division with lessen human exertion and give exact and quicker outcome.
Through this article, I will demonstrate to you the significance of AI in our day to day life.

Segment where AI is utilized :

• Artificial intelligence Used in Bank and Financial System
• Utilization of AI in Medical Science
• Overwhelming Industries
• Job of AI in Air Transport
• AI role in Gaming Zone

There are three types of Artificial Intelligence, to know more about it visit : https://interestingengineering.com/the-three-types-of-artificial-intelligence-understanding-ai

Careers and Educational Requirements for Artificial Intelligence?

In recent years, careers in AI have grown exponentially to meet the demands of digital industries. While there are several jobs in artificial intelligence, there’s a significant shortage of top tech candidates with the necessary skills where you go like :

1. Machine Learning Engineer

Annual median salary of $114,856

Knowledge of modern programming languages required like :

• Java
• Python
• Scala

2. Data Scientist

Annual median salary of $120,931

Big data platforms and tools knowledge required like :

• Hive
• Hadoop
• MapReduce
• Pig
• Spark

Data scientists also be highly experienced in statistical computing languages and programming languages like

• Perl
• Python
• Scala
• SQL

3. Business Intelligence Developer

Annual median salary of $92,278

Experience required in

• Data Warehouse Design
• Data Mining
• SQL queries
• SQL Server Integration Services
• SQL Server Reporting Services
• BI technologies

4. Research Scientist

Annual median salary of $99,809

Have advanced master’s or doctoral degree in computer science

5. Big Data Engineer/Architect

Annual median salary of $151,307.

Must completed a Ph.D. in mathematics, computer science, or a related field

Experience with C++, Java, Python, and Scala

Have in-depth knowledge and experience engaging in data mining, data visualization, and data migration.

Companies Hiring for Artificial Intelligence Roles?

• Amazon
• NVIDIA
• Microsoft
• IBM
• Accenture
• Facebook
• Intel
• Samsung
• Lenovo
• Adobe
• MoTek Technologies
• Uber
• PCO Innovation
• Rakuten Marketing
• Wells Fargo
• Engineer.ai

Check latest job openings of Engineer.ai

Sachin Dev Duggal bootstrapped Engineer.ai

Sachin Dev Duggal is a serial entrepreneur building a Human-Assisted AI that empowers everyone to build & operate technology. He has bootstrapped Engineer.ai since 2012, which was created with the belief that everyone should be able to build their ideas without needing to code and that any idea can be made into a reality without wastage of time, money or resources.

He holds a degree in B. Eng from Imperial College London and a degree in Entrepreneurial Master's Program from MIT. He is an Information Systems Engineer with specialization in Mandarin, Finance, Distributed Systems, Software Engineering, Computational Maths and Operations research with Game Theory.

At the age of 14, Sachin Duggal ended up accidentally breaking his mother's computer. Afraid of her reaction, he researched relentlessly until he put the system back together to perfect form. One thing led to another and he established a small PC business at the age of 14.

In the following years, Sachin Dev Duggal ventured into software and at the age of 17, joining Deutsche Bank as their youngest employee ever and continued to work there for 5 years.

He's founded Shoto - a photo and video service that brings together all digital memories under one roof, including the ones missed out - using AI and Facial Recognition.

Sachin Duggal took his last company Nivio (one of the pioneers of the Cloud in 2004) to $100m in value before exiting. Nivio was a pioneer in the Cloud in the mid 2000s that let users stream Windows from the Cloud in a browser and included an app store that let you rent software from Adobe, Corel, and Microsoft.

Read full story @ https://m.dailyhunt.in/news/india/english/news+patrolling-epaper-newspatr/sachin+dev+duggal-newsid-112686424

Engineer.ai On Pitchbook

Developer of an AI-powered Software intended to help build and operate software projects. Engineer.ai company creates bespoke software using a drag and drop project builder, artificial intelligence and blockchain transparency with the best human teams of developers, designers and product managers globally, enabling its users to make software development faster, more accessible and less expensive.

Check full details @ https://pitchbook.com/profiles/company/221982-31

What is Artificial Intelligence?

Artificial Intelligence is one of the emerging technologies that try to simulate human reasoning in AI systems. Researchers have made significant strides in weak AI systems, while they have only made a marginal mark in strong AI systems.

Most of us have used Siri, Google Assistant, Cortana, or even Bixby at some point in our lives. What are they? They are our digital personal assistants. They help us find useful information when we ask for it using our voice; we can say ‘Hey Siri, show me the closest fast-food restaurant’ or ‘Who is the 21st President of the United States?’, and the assistant will respond with the relevant information by either going through your phone or searching on the web. This is a simple example of Artificial Intelligence!

How does Artificial Intelligence work?

Computers are good at following processes, i.e., sequences of steps to execute a task. If we give a computer steps to execute a task, it should easily be able to complete it. The steps are nothing but algorithms. An algorithm can be as simple as printing two numbers or as difficult as predicting who will win elections in the coming year!

So, how can we accomplish this?

Let’s take an example of predicting the weather forecast for 2020.

First of all, what we need is a lot of data! Let’s take the data from 2006 to 2019.

Now, we will divide this data in an 80:20 ratio. 80 percent of the data is going to be our labeled data, and the rest 20 percent will be our test data. Thus, we have the output for the entire 100 percent of the data that has been acquired from 2006 to 2019.

What happens once we collect the data? We will feed the labeled data, i.e., 80 percent of train data, into the machine. Here, the algorithm is learning from the data which has been fed into it.

Next, we need to test the algorithm. Here, we feed the test data, i.e., the remaining 20 percent of the data, to the machine. The machine gives us the output. Now, we cross verify the output given by the machine with the actual output of the data and check for its accuracy. While checking for accuracy if we are not satisfied with the model, we tweak the algorithm to give us the precise output or at least somewhere close to the actual output. Once we are satisfied with the model, we then feed the data to the model so that it can predict the weather forecast for the year 2020.

With more and more sets of data being fed into the system, the output becomes more and more precise.

Well, none of the algorithms can be 100 percent correct. None of the machines have been able to attain 100 percent efficiency as well. Hence, the output we receive from the machine is never 100 percent correct.

Patents by Inventor Sachin Dev Duggal, CEO of Engineer.ai

Sachin Dev Duggal, CEO of Engineer.ai has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

Discovery and sharing of photos between devices

• Patent number: 10409858
• Abstract: Described are systems, media, and methods for discovery of media relevant to a user and sharing the media with the user.
• Type: Grant
• Filed: November 29, 2016
• Date of Patent: September 10, 2019
• Assignee: Shoto, Inc.
• Inventors: Sachin Dev Duggal, Mark Edward Rolston

SYSTEMS AND METHODS FOR CREATING SOFTWARE FROM LIBRARY AND CUSTOM COMPONENTS

• Publication number: 20180107459
• Abstract: Methods and systems are disclosed that automate and institutionalize many aspects of the process of creating software. Embodiments automate aspects of pricing, software creation, and delivery using a manufacturing-styled approach to development that reuses existing code and other existing software design features.
• Type: Application
• Filed: October 17, 2017
• Publication date: April 19, 2018
• Applicant: Sd Squared Limited
• Inventors: Sachin Dev Duggal, Rohan Patel

DISCOVERY AND SHARING OF PHOTOS BETWEEN DEVICES

• Publication number: 20170075927
• Abstract: Described are systems, media, and methods for discovery of media relevant to a user and sharing the media with the user.
• Type: Application
• Filed: November 29, 2016
• Publication date: March 16, 2017
• Inventors: Sachin Dev DUGGAL, Mark Edward ROLSTON

Read full story @ https://patents.justia.com/inventor/sachin-dev-duggal

The Three Types of Artificial Intelligence?

Sachin Dev Duggal, CEO and Founder of Engineer.ai talked about Artificial Intelligence. He said there are three types of Artificial Intelligence:

Artificial Narrow Intelligence (ANI)

Artificial Narrow Intelligence (ANI), also known as Narrow AI or Weak AI, is a type of Artificial Intelligence focused on one single narrow task. It possesses a narrow-range of abilities. This is the only AI in existence today, for now.

Narrow AI is something most of us interact with on a daily basis. Think of Google Assistant, Google Translate, Siri, Cortana, or Alexa. They are all machine intelligence that use Natural Language Processing (NLP).

NLP is used in chatbots and other similar applications. By understanding speech and text in natural language they are programmed to interact with humans in a personalized, natural way.

AI systems today are used in medicine to diagnose cancers and other illnesses with extreme accuracy by replicating human-like cognition and reasoning.

Artificial General Intelligence (AGI)

When we talk about Artificial General Intelligence (AGI) we refer to a type of AI that is about as capable as a human.

However, AGI is still an emerging field. Since the human brain is the model to creating General Intelligence, it seems unlike that will happen relatively soon because there is lack of a comprehensive knowledge of the functionality of the human brain.

Yet, as history has shown many times, humans are prone to creating technologies that become dangerous to human existence. Why then trying to create algorithms to replicate brain function would be different? When this happens, humans will have to accept the consequences this might bring. 

Artificial Super Intelligence (ASI)

Artificial Super Intelligence (ASI) is way into the future. Or, that is what we believe. To reach this point and to be called an ASI, an AI will need to surpass humans at absolutely everything. The ASI type is achieved when AI is more capable than a human.

This type of AI will be able to perform extraordinary well at things such as arts, decision making, and emotional relationships. These things are today part of what differentiates a machine from a human. In other words, things that are believed to be strictly human.

However, many could argue that humans have not yet mastered the art of emotional relationships, or good decision making. Does it mean that perhaps, a few centuries into the future, Artificial Super Intelligence will master areas where humans have failed? 

Engineer.ai is a Human-assisted AI that empowers everyone to independently build & operate tech products through two products that work together to be their.