STRONG ARTIFICIAL INTELLIGENCE PILLS

Strong Artificial Intelligence 2 days Pills

Do you need better preparation? Do you want to refresh your knowledge of specific topics?
Are you curious about AI, programming, supercomputers, neural networks, or just maths or advanced maths?
Take our pills for two days full immersion or take our full immersion one week courses for C++, Python, R+Matlab+Octave, CUDA:

The Pills are structured on two days 9 am to 5 pm.

CUDA: Compute Unified Device Architecture
The language of parallel programming from nVidia
I GPU
II C and CUDA
III CUDA on my normal computer
IV CPU and GPU
V Type qualifiers
VI Functions and threads
VII Parallelizing: threads, blocks, grids
VIII Calls
XI Thread manager
X Optimize parallel programming
nVidia Jetson TX1 and TK1 at work: supercomputing
Programming and building together our real supercomputer
I The boards TX1 and TK1
II Switch on!
III Hallo World
IV Interfacing
V CUDA Parallel Programming in action

Neural Networks: SLAM
Explaining neural networks in detail and creating a SLAM architecture
I Neural networks: the beginnings
II Models
III Building and testing
IV Practical case: SLAM
V Programming the practical case in the neural network
VI Applications

Arduino: let’s get started!
This is the basic course for people not using Arduino and without math/ai background
I Electricity
II Electronics
III Arduino primer
IV Building circuits
V Building a basic robot VI Interfacing
VII User controls
VIII Sensor navigation
XI Electric motors
X The H-Bridge
XI Batteries
XII Materials

Arduino: my robot!
Let’s build a basic robot, moving on wheels, and program it! Building, programming, creativity
I Linus the Line-Bot
II Wally the Wall-Bot
III Making PCBs
IV The Bug-Bot
V Explorer-Bot
VI Roboboat
VII Lawn-Bot 400
VIII Seg-Bot
IX Battle-Bot

Arduino: AI
Advanced Arduino programming for difficult tasks and remote management
I Basics of programming
II Arduino IDE
III Building functions
IV Inputs
V Outputs
VI Interrupts
VII Managing frequencies
VIII Predefined tracks
IX Free track: autonomous navigation!

Digimatronics
Digimatronics is the system Maurizio Viviani invented for active global recognition and safety/access control, let’s build together an AI system, he give out his algorithms during the course.
I The minimal tools: a computer, a webcam, an internet connection
II My functions
III The webcam, my eye, acquiring
IV Making memories and learning (computer vision)
V Interacting with environment changes
VI Creating alert interrupts
VII Working!
VIII Self-improving AI for my program!

Astronomy: stargaze!
This is the base course for Astronomy, for people who never looked at the sky!
They will learn orienteering in the night sky, constellations, basic astrophysics geometry (no math), how to find, chase and see objects (planets, multiple stars, galaxies, nebulas).
The lost poetry of nondigitalized sky!

I Switch off the lights! Look at the sky
II Celestial objects
III Orienteering! Constellations
IV Finding objects: ephemerides and coordinates
V Visual study
VI Stars, planets, nebulae, galaxies, clusters… observing with naked eye
VII Project: new visual objects and variable stars, how to make scientific research

Astrophysics
Here we teach math and Physics for Astronomy and theories
I Galaxies: dynamic and nuclear evolution
II HR Diagram
III Clusters. Quasars. Populations.
IV Hubble’s law
V Elementary particles
VI Missing mass problem
VII Star nature and structure
VIII Star matter
IX Hydrogen combustion
X Helium combustion
XI Extragalactic problems
XII Supernovae

Telescoping!
How to choose a telescope, how to mount it, where go mounting it, how to make it work, what can a computer do with an attached telescope
I Optics basics, lens and telescopes types
II Parameters for telescopes
III Environments
IV Mounting!
V Finding the Pole
VI Attaching a CCD
VII Computer guide
VIII Programming: take a picture!

Remote astronomy
How to use our telescope remotely, let’s write our python program for it! Let’s build a small cupola for it too and a rain/wind sensor.
How to interact digitally with remote installations, making queries and elaborating data.
We will search for small unexplored objects and variable stars and if we are lucky we will find a never seen object!

I Pieces and tools for cupola
II Pieces and tools for sensors
III Mounting and attaching a pc
IV Installing the telescope
V My first astro python!
VI Storing data and making queries
VII Remote management made easy and safe
VIII Surveilling stars and planetoids
IX Normalizing and comparing data
X Discoveries!! New objects or unexpected variations!!

Vintage: not digital astronomical photography
How to use not digital camers, how to take pictures in deep sky (no more electronic noise!), how to treat/develop/print films and how to get wonderful images.
I Not digital cameras
II Reflex and optics
III Films and chemistry
IV Learning how to take a picture!
V Long exposures
VI Treating and developing our film
VII Choosing the right place
VIII Using a telescope as a guide
IX Cheese!

Physics: Time, relativity, Gravitational waves
Einstein, black holes, neutrinos, light quantums. Let’s go physics! No math required, I will give all basics necessary
I History of time
II Beginning and end of time
III Relativity
IV Quantums
V Time arrows
VI What time is it? Really?
VII Gravitational waves

Linear Algebra
The very basics of AI math, no prerequisites
I Vectors
II Linear equations
III Matrices
IV Vectorial space
V Base and dimensions
VI Linear applications
VII Matrices and linear operators
VIII Determinants
IX Autovectors and autovalue
X Canonical forms
XI Linear functions and dual space
XII Bilinear, quadratic and hermitian forms
XIII Scalar product spaces

Math
I K
II Products and formulas
III Geometric formulas
IV Trigonometric functions
V Complex numbers
VI Exp and log
VII Hyperbolic
VIII Solution of algebraic equations
IX Plane analitic geometry
X 3d analitic geometry
XI Derivatives
XII Defined integrals
XIII Undefined integrals
XIV Gamma function
XV Beta function
XVI Fundamental differential equations
XVII Bernoulli and Eulero numbers
XVIII Sums and series
XIX Vector formulas
XX Fourier series
XXI Bessel functions
XXII Legendre functions
XXIII Hermite polynomials
XXIV Laguerre polynomials
XXV Chebyshev polynomials
XXVI Hypergeometry
XXVII Laplace transform
XXVIII Elliptic functions
XXIX Inequalities
XXX Partial fractions
XXXI Infinite products
XXXII Probability distributions

Let’s build a time machine!
Realistic course, we will explore the state of the art theories and we will make a real project for a time machine! based on Stephen Hawking and Paul Davies publications and updated on Einstein’s gravitational waves
I Time
II Motion
III Gravity
IV Space
V E=mc2
VI Now? Never?
VII The past
VIII Light speed
IX Black holes, wormholes and curved space
X Curved spacetime: gravitational waves in detail
XI Universes
XII Singularity
XIII Antigravity
XIV The time machine
XV Time tourism and paradoxes
XVI Causalities and copies
XVII Chronology

Pure Python
This course is for programming pythonic! based on Guido Van Rossum publications, we will teach the necessity for elegance in creativity with Python. No prerequisites!
I The interpreter
II Numbers, strings, lists
III Flow tools
IV Data structures
V Modules
VI I/O
VII Errors!
VIII Classes
IX The Standard Library
X Interaction

Math for future: Matlab/Octave
Learning Matlab and Octave
I Installing
II Command window and command line
III Workspace
IV Scripts
V Matrix or array operations
VI Plotting
VII Functions
VIII All together!
IX Libraries
X I/O
XI test!

R
Powerful statistical data analysis language
I What I need to know for R programming
II R environment
III Variables, Functions
IV R packages and extensions
V Data, the power of R
VI Exploiting

Disaster recovery
Hard disk failures, mainboard not booting, water on my keyboard, fire from my case. Let’s rescue our data professionally implementing Python!
I Computer malfunctions
II Investigations
III Unmounting
IV Hard disk failures
V Hard disk analysis
VI Hard disk rescue
VII Data rescue (Python)
VIII Mainboard failures general analysis
IX Components failure
X Worst case scenery

Linux basics
Let’s go Linux: how to change the world and how to be and stay more productive.
Course for everyone, no requirements
I Think open source
II Basics
III Choosing a distro and installing
IV Configuring
V Surf! Write! Program! Print!
VI Backup and tools

Linux advanced
Linux programming, building and creating our personal distro! Let’s make an OS!
I Pieces for our own distro
II Understanding the kernel
III What will I need?
IV Creating
V Install and test
VI Improve

Antivirus
Computers are getting new viruses, so we need to go deeply and to write new software for getting rid of them.
We will create our Python antivirus! Win and Linux/Mac versions!

I Programs
II Malicious programs
III Writing python code for scanning
IV Battle against the virus!
V Victory!
VI New menaces, malware adware etcware

Android
How to build and deploy apps
I What is Android
II Android apps
III Components and resources IV Activity and intent
V View and layout
VI Widget and events
VII Animation, menu, dialog and toast
VIII Data management
IX Multithreading and services
X A safe net use
v XI WebView and MapView
XII App Widget, Gesture and TextSpeech
XIII Media Management
XIV System services
XV Bluetooth
XVI Classroom project app

Programming: C++
A to Z programming in C++
I Structure
II Variables
III Data types
IV Operators
V Inputs and outputs
VI Controls
VII Functions
VIII Arrays
IX Character sequences
X Pointers
XI Memory
XII Data
XIII Classes
XIV Friendship and inheritance
XV Polymorphism
XVI Namespaces
XVII Types
XVIII I/O files

Introduction to programming: JAVA
The world of JAVA for beginners
I Java: coffee!
II Html and applets
III Web pages
IV Javascript
V Coding

Let’s build a 3d printer!!
We build together a functional 3d printer
I Tools
II Parts from scratch
III Preparing parts
IV Assembly
V Structure
VI Motors
VII The extruder
VIII The filament feeding mechanism
IX Electronics
X Software
XI Tests
XII The future is here!

 

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.