EID 100 Study Guide - Fall 2018, Comprehensive Midterm Notes - Google, Facebook, Canada
12 Oct 2018
School
Department
Course
Professor
EID 100
MIDTERM EXAM
STUDY GUIDE
Fall 2018
Adapting Technology
• IPv4 uses subnets (networks within networks) : 4.2 billion unique addresses → 32 bit address
• IPv6 : 3.4x10^38 unique addresses → 128 bit address
50bn devices expected to be connected to the internet by 2020
What devices are coming online?
• Black Mirror Device : built using a tv screen, phillips hue light bulbs and custom program
Bitcoin
- A decentralized ledger – multiple people managing/ verifying it
o Log transactions every time you make a purchase
o Block chain – contains completed transactions and attack on new transactions taking
place
▪ Constantly growing
o If you validate before what came after, you have a timeline of integrity
▪ Over time you get to see all transactions
• All bitcoins are accountable
o Adoption of bitcoin
▪ Not very user friendly
▪ The power is the block chain
• Decentralize ledger
o Block chain
▪ Validate a sneaker and see the supply chain
Myo armband from Thalmic Labs – gesture controlled wearable technology
Quantum computing – needs to be cooled a lot
Contact lenses that connect to the internet
Microsoft’s “eeig AI Project – glasses that capture images and describe it to the blind user (age, gender,
emotions, read out text)
Machine Learning
• Subset of AI where it can learn according to data that is fed into it
• i tryig to teach you hat a cat is
o Shows you what a cat is
▪ 4 legs, tail, whiskers etc.
• Teach a computer by looking for these things
Tacit – something understood without being explained
Implicit – something implied, but not explained
Explicit – something specifically explained
find more resources at oneclass.com
find more resources at oneclass.com
Algorithm
• Step-by-step procedures to solve a problem
• Most common is called Artificial Neural Network (ANN)
Tensor flow – Google product to learn if a picture has a cat or not
• Machine learning library
• Doing many language understanding tasks so to understand what is in an image/short
video clip
Amazon Machine Learning – build applications to perform functions (fraud detection, demand
forecasting)
Neural image – funnels down the image + need to train it with images
*** what you take in affects how you contribute to the world + the internet is a collective consciousness
Tendril video - GetMyo
- Works on muscle and tendril flexing
- Downside is accuracy
o Usability issue
o Forces you to do precise actions
Making the human the interface
- layers of abstraction
The Look For ideo
- Which inventions are replaced?
o All in one device
o Copying does not need x rays
- Which inventions stick around?
o Video calling
- Which are 10x?
What hinders interoperability?
Privacy
Security
Legislation
- how can it hinder or encourage interoperability?
find more resources at oneclass.com
find more resources at oneclass.com
