Full Introduction to Deep Learning with TensorFlow enroll now: TensorFlow, CUDA, R, C++, Python, Neural Networks, Big Data. Hands on in one week introductory course.

Artificial Intelligence for young students: programming,  creating, painting, logic learning, mathematics

Blockchain, Bitcoin: course

Come with us, internship (study & apply) for our Mars Exploration Program MEP I: programming autonomous robots for making habitats, 3d printing structures,  and stratoballoons for the first complete study of the planet and for rescue missions, getting ready for MEP II: human exploration of Mars.

Both robots and exploring modules are powered by supercomputers.  Internship with us for programming them.

Strong Artificial Intelligence is the born of new era for programming machines. Supercomputers need new language and different algorithms and we give the key for learning them quickly and deeply

We teach how to think,make algorithms and program in the parallel method building on TensorFlow, CUDA, Neural Networks, Anaconda, C++. R. Haskell.C++, Python, Matlab, Octave, R and getting all done with OpenCl and CUDA on the latest nVidia platforms for tasks and robotics

MARS BLOCKCHAIN CHILDREN INTRO TO DEEP LEARNING COURSE AUTOMOTIVE COURSES DEEPLEARNING DIGIMATRONICS PILLS CONTACT NEWS PROJECTS RESEARCH ROBOTICS TAKE ACTION MAURIZIO VIVIANI PRIVACY

SUPERCOMPUTERS PROGRAMMING (deep learning series #2) 2017

Welcome!

I am Maurizio Viviani CEO of Strongartificialintelligence.com

My company is born for giving services and high skilled formation in the area of parallel programming for supercomputers.

My aim is to help forming a new way of thinking algorithms and to program them in parallel computing. This a crucial step for High Performance Computing, the way for Supercomputers

My top courses are for CUDA programming. Cuda is the language created by nVidia for programming Graphic Processor Units efficiently. This kind of programming goes all parallel, which means we have thousands of threads running at the same time keeping the CPU just for heavier computations along the track.

Changing our way of programming, we can send many many different routines to the GPU, totally unloading the CPU, and making the capability of the machine hundreds or thousands time more than working just on the CPU.

This is the next revolution in the digital era.

We will reduce drastically energy consumption simply by using a few supercomputers instead of many traditional computers. What is a supercomputer? It is a machine which can make much more computations than a normal computer. Because of this, the exact definition of Supercomputer is always changing and it will never stop, maybe in the future they will be all Quantum computers but now and in the near future Supercomputers will be parallel computing machines.

Energy consumption reduced means much less weight in autonomous cars and in flying vehicles like my stratospheric balloons, where I passed from 12 Kilograms of devices using many Arduino controllers to just 2.4 Kilograms by using nVidia Jetson TX1

A long term effect will be the huge reduction of the waste at the end of vital life of electronic devices.

The language for parallel computing developed by nVidia is CUDA, and the language is strongly connected to C, C++ and Python, which are very important languages for scientific programming. C and C++ are the base of our technology in existence, and Python is a marvelous language with a huge base of scientific libraries existing, making very easy to make reliable software multi purpose. Most of Google is written in Python.

Our courses of C++ and Python are full immersion and bring quickly to a deep knowledge of them. Python is the one going stronger because of its quicker learning times and because its adaptability.

After knowing C++ and/or Python, CUDA classes can be approached because they rely on the knowledge of the other language.

Alongside C++ and Python,  we teach Matlab and Octave (the free alternative to Matlab), they are the main software for mathematically creating the algorithm and they put the programmer in a perspective out of the box, which is perfect to make optimized precode. After having created the algorithm it is easy to write the C++/Python/Java program for .it.

With Matlab and Octave we teach R, the statistical language fresh born, it is a huge boost for the management of big data, making much quicker to make internal routines for giving results to the main external software.

TensorFlow is probably the strongest Machine Learning library that will make the AI very fast.

We do not teach just the languages, we teach the way for programming going to deep learning, which is the natural evolution of machine learning, meaning machines programmed for making independently tasks and to modify them based on the learning technology. Deep learning passing through unsupervised learning is the road for the creation of a strong artificial intelligence, which will be the biggest step. The definition of strong artificial intelligence is the capability of a machine to perform better than the human brain, and this is already happening in some fields and it will be soon.

Autonomous cars will practically eliminate the risk of accidents, machine failures of wheels, brakes, engine, will be very well managed by the supercomputer and human errors will be never again cause of casualties.

Robotics will be one of the main fields for parallel programming because of the reduce consumption of energy and the very reduced weight of computers.

Cryptocurrencies will make a huge step forward due to the much higher computing capability of supercomputers, and they will be much more energy convenients than now.

All this will be possible only if the running softwares of everything will be put in parallel software coding. The revolution is here and we help to program it.

The arguments are huge and for this reason we make 2 days pills for full immersion in the disciplines, so everyone can test whether he is ready to make an intensive course on it or not.

During my CUDA courses students will really program a Supercomputer.

New York 2016/2017: 

The necessity to learn coding for life and work.

Solutions available to nowadays problems.

Maurizio Viviani, strongartificialintelligence.com

What is artificial intelligence? Is it just an algorithm?

How can we improve it in a good way? Why feedback?

Ethic, freedom and strong artificial intelligence. Can they live together?

Technology and human evolution.

Economy and technology.

Big data and difficulties: solutions.

The big step: probabilistic knowledge vs deterministic knowledge.

High Performance Computing: Supercomputers. Quantum computing. We need expert programmers.

Robotics and HPC.

Internet Of the Things. We need many programmers.

Materials:

1)      Study - Robots are not taking jobs (ROBOTENOMICS - TRACKING THE EVOLUTION OF ROBOTS)

2)      Fortune - 'Highly creative' professionals won't lose their jobs to robots, study finds

3)      Eatsa - Full automated restaurant in San Francisco. Welcome to the robot-based workforce: will your job become automated too? From waitstaff to care companions and legal researchers, the future of the machine worker is here. But where does that leave humans

4)      Federico Pistono: Robots will steal your job but that’s OK. How to survive the economic collapse and be happy.

5)      Cisco: “Will robots inherit the earth? Yes, but they will be our children”

6)      Bill Gates I: People Don't Realize How Many Jobs Will Soon Be Replaced By Software Bots

7)      Bill Gates II: More kids should learn to program

8)      Sebastian Thrun. Peter Norvig. Changing the world in good.

9)      Andrew Ng. AI is the new electricity.

 

 

1)      ROBOTENOMICS - TRACKING THE EVOLUTION OF ROBOTS https://robotenomics.com/2015/09/16/study-robots-are-not-taking-jobs/

 

2)      FORTUNE

'Highly creative' professionals won't lose their jobs to robots, study finds

http://fortune.com/2015/04/22/robots-white-collar-ai/

 

3)      Eatsa: Full automated restaurant in San Francisco. Welcome to the robot-based workforce: will your job become automated too? From waitstaff to care companions and legal researchers, the future of the machine worker is here. But where does that leave humans https://www.theguardian.com/technology/2016/mar/19/robot-based-economy-san-francisco

 

4)      Federico Pistono: Robots will steal your job but that’s OK. How to survive the economic collapse and be happy. http://robotswillstealyourjob.com/home

 

5)      Cisco: “Will robots inherit the earth? Yes, but they will be our children”

https://newsroom.cisco.com/feature-content?articleId=1727697

 

6)      Bill Gates I: People Don't Realize How Many Jobs Will Soon Be Replaced By Software Bots

http://www.businessinsider.com/bill-gates-bots-are-taking-away-jobs-2014-3?IR=T

 

7)      Bill Gates II: More kids should learn to program

https://www.youtube.com/watch?v=EwxSPm9rNSQ

 

8)      Sebastian Thrun. Peter Norvig.

https://www.ted.com/talks/sebastian_thrun_google_s_driverless_car

https://www.ted.com/talks/peter_norvig_the_100_000_student_classroom

Changing the world in good.

 

9)      Andrew Ng. AI is the new electricity.

https://www.youtube.com/watch?v=4eJhcxfYR4I

Send your CV to info@strongartificialintelligence.com for request of admission to the free selection and for evaluating and suggesting the best courses for you