Friday, October 4, 2019

Sachin Dev Duggal Entrepreneur Share- Is Robotics and Artificial Intelligence the Same Thing?

The primary thing to explain is that robotics and artificial intelligence are not something very similar by any stretch of the imagination. Truth be told, the two fields are as a rule independent.

I surmise that individuals here and there befuddle the two in view of the cover between them: Artificially Intelligent Robots.

To see how these three terms identify with one another, we should take a gander at every one of them separately.

What Is Robotics?

Robotics technology is a part of innovation which manages robots. Robots are programmable machines which are normally ready to do a progression of activities self-rulingly, or semi-self-governingly.

As I would see it, there are three significant elements which comprise a robot:
  • Robots cooperate with the physical world by means of sensors and actuators.
  • Robots are programmable.
  • Robots are generally independent or semi-self-ruling.
I state that robots are "generally" independent since certain robots aren't. Telerobots, for instance, are totally constrained by a human administrator yet telerobotics is still classed as a part of mechanical technology. This is one model where the meaning of apply autonomy isn't exceptionally clear.

It is shockingly hard to get specialists to concur precisely what establishes a "robot." Some individuals state that a robot must have the option to "think" and decide. Be that as it may, there is no standard meaning of "robot thinking." Requiring a robot to "think" recommends that it has some degree of man-made consciousness.

Anyway you characterize a robot, mechanical technology includes structuring, building and programming physical robots. Just a little piece of it includes man-made brainpower.

What Is Artificial Intelligence?

Computerized reasoning (AI) is a part of software engineering. It includes creating PC projects to finish assignments which would somehow or another require human knowledge. Simulated intelligence calculations can handle learning, observation, critical thinking, language-understanding as well as coherent thinking.

Simulated intelligence is utilized from numerous points of view inside the advanced world. For instance, AI calculations are utilized in Google look, Amazon's proposal motor and SatNav course discoverers. Most AI projects are not used to control robots.
 

Notwithstanding when AI is utilized to control robots, the AI calculations are just piece of the bigger mechanical framework, which additionally incorporates sensors, actuators and non-AI programming.

Frequently — however not generally — AI includes some degree of AI, where a calculation is "prepared" to react to a specific contribution to a specific path by utilizing known information sources and yields. We examine AI in our article Robot Vision versus Computer Vision: What's the Difference?

The key viewpoint that separates AI from increasingly regular writing computer programs is "knowledge." Non-AI programs just do a characterized succession of guidelines. Computer based intelligence projects imitate some degree of human insight.

What Are Artificially Intelligent Robots?

Falsely astute robots are the extension among apply autonomy and AI. These are robots which are constrained by AI programs.

Numerous robots are not misleadingly savvy. Up until as of late, all mechanical robots must be modified to complete a dreary arrangement of developments. As we have talked about, monotonous developments don't require computerized reasoning.

Non-wise robots are very constrained in their usefulness. Computer based intelligence calculations are frequently important to enable the robot to perform progressively complex assignments.

How about we take a gander at certain models.

Model: Non-Artificially Intelligent Cobot

A basic cooperative robot (cobot) is an ideal case of a non-clever robot.

For instance, you can without much of a stretch program a cobot to get an item and spot it somewhere else. The cobot will at that point proceed to pick and place questions in the very same manner until you turn it off. This is an independent capacity in light of the fact that the robot doesn't require any human contribution after it has been customized. Be that as it may, the errand doesn't require any insight.

Model: Artificially Intelligent Cobot

You could broaden the capacities of the cobot by utilizing AI.

Envision you needed to add a camera to your cobot. Robot vision goes under the classification of "observation" and for the most part requires AI calculations.

For instance, say you needed the cobot to recognize the article it was getting and place it in an alternate area relying upon the kind of item. This would include preparing a particular vision program to perceive the various kinds of item. One approach to do this is utilizing an AI calculation called Template Matching, which we examine in our article How Template Matching Works in Robot Vision.

Determination and a Confusion: Software Robots

As should be obvious, mechanical technology and man-made brainpower are extremely two separate things. Mechanical technology includes building robots while AI includes programming knowledge.

Nonetheless, I leave you with one slight perplexity: programming robots.

"Programming robot" is the term given to a kind of PC program which self-sufficiently works to finish a virtual undertaking. They are not physical robots, as they just exist inside a PC. The exemplary model is a web crawler webcrawler which meanders the web, checking sites and classifying them for hunt. Some propelled programming robots may even incorporate AI calculations. Be that as it may, programming robots are not part of apply autonomy.

Monday, September 30, 2019

Sachin Dev Duggal Entrepreneur : Importance of AI in day to day Life?

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

 

 

Sachin Dev Duggal Entrepreneur : 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
  • Builder AI
Check latest job openings of Sachin Dev Duggal Builder AI

Friday, September 27, 2019

Sachin Dev Duggal Bootstrapped Builder AI

Sachin Dev Duggal is a serial entrepreneur building a Human-Assisted AI that empowers everyone to build & operate technology. He has bootstrapped Builder 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 Dev Duggal CEO 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 Chief Wizard 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.

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

Thursday, September 26, 2019

Builder AI On Pitchbook

Developer of an AI-powered Software intended to help build and operate software projects. builder.ai company which CEO & Entrepreneur is Sachin Dev Duggal 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

Friday, September 20, 2019

Sachin Dev Duggal Entrepreneur- 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.

Thursday, September 19, 2019

Patents by Inventor Sachin Dev Duggal, CEO and Founder of Builder AI

Sachin Dev Duggal, CEO and Founder of Builder 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
  • 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