AI Research and sharing

Source: Internet
Author: User

The wizard also has a period of time not published blog, while he has not too much work content, to organize and share the recent research on the direction of AI, the content is relatively simple, does not involve particularly advanced technology, simply introduce some of the big direction of AI. The wizard saw a lot of internet media coverage of artificial intelligence, including 36 Krypton, titanium media, Lei Feng Nets, but also about the current development of artificial intelligence, some future development prospects, the following outline as follows:

    • AI Status
    • AI Open Source project
    • Intelligence in smart watches
    • The product of smart wearable devices
AI Status

At present, artificial intelligence has the following general direction, is basically the preferred field of international companies:
-Smart Search
-Deep learning
-Human interaction
-Wearable devices
-Unmanned and intelligent robots

Smart Search

Smart Search Needless to say, since the mobile internet fire, this piece also became hot, from the previous natural language search to the non-natural language search leap, this piece is also the most mature piece.
Intelligent search to develop mainly these several directions:
The advanced algorithm is developed by the low-level algorithm . Keyword matching to the knowledge map, semantic search algorithm innovation. such as Google bird flu map.
The development of text retrieval to speech image retrieval . Like Google Now and Apple Siri.
Search for The cloud from the Internet to search the evolution . such as the Internet of Things search engine--shodan based on label sensing and reading technology.

Deep learning

Deep learning is a relatively large direction, mainly includes the following application direction:
-Speech recognition
-Image recognition
-Natural Language Processing
-Search Ad Ctr (Click Through rate) estimate

Interactive

About human-computer interaction we are most familiar with, as long as we have access to the computer is already the field of human-machine interaction:
-Originator: Keyboard and Input Method application
-Human-Computer Interaction transition: mouse and assistive software
-Minimal human-computer Interaction: handwriting Touch and software
-Most direct human-computer Interaction: Voice control mode
-Stylish human-computer interaction: Body sense, analog control
- Future mode: virtual reality

Wearable devices

Wearable devices are also the two-year-old fire, this area is not very mature, but it is worth looking forward to an area, the following to correct a lot of people in the wearable field of some misconceptions:

wearable device ≠ smart watch + bracelet
The right Understanding:
-wearable devices are not necessarily "wearable" on the human body
-Wearable devices with more shapes and functions
-Wearable devices are not just personal consumer products
Orientation: Wearable device and social depth combination

Unmanned and intelligent robots

The current unmanned driving position in the lead is undoubtedly Google, why it can do unmanned driving?
There are two main points:
1. Map
2. Actual driving calculation capacity

So what are the applications of robots?
-Industrial applications
-Military applications
-Medical applications
-Entertainment applications
-Home Service

Ai's Open source project

Graphlab: is a new parallel framework for machine learning.
Vowpal Wabbit: A machine learning platform for Microsoft Research.
Scikits Learn: is an open-source Python module built on scipy for machine learning.
Theano: is a python library used to define, optimize, and simulate mathematical expression calculations for efficient resolution of multidimensional array calculations.
Mahout: An open source project under the Apache Software Foundation that provides a number of extensible machine learning domain Classic algorithms designed to help developers create smart applications more quickly and easily.
Pybrain: A machine learning module for Python that aims to provide a flexible, easy-to-apply, powerful machine learning algorithm for machine learning tasks.
OpenCV: is a distributed, cross-platform computer Vision library that can run on Linux, Windows, and Mac OS operating systems.
Orange: is a local component of data mining and machine learning software suite.
NKTK: (Natural Language Toolkit) is a Python Natural language processing toolkit.
Nupic: An open-source AI platform.

Intelligence in smart watches

Think about some of the features we expect from smart watches, and we may have these requirements:
1. Call
2. Weather forecast
3. Health monitoring, heart rate, sleep, exercise
4. Internet of Things control
5. Track and locate
6. Intelligent Assistant
7. Simultaneous translation

The product of smart wearable devices


Here are some of the product orientations for future smart wearable devices:
-Products based on communication products
-based on positioning, sports and entertainment products
-Based on virtual reality or immersive products
-Products based on mobile healthcare

The last question is, what kind of company has the ability to touch AI?
Personally, if you want to reach a company in the AI field, there are a few conditions at least:
1. Talent
2. Big Data
3. Infrastructure

This is easy to understand, no talent is not able to make a successful product, a large number of talent in the company can compete in such a fierce internet tide in a foothold with, this is an eternal topic; Big data can provide us with massive data base analysis, no big data support is unable to complete deep learning; infrastructure is more important , having big data naturally requires the ability to handle it, strong and stable network infrastructure and operational capabilities to ensure efficient data analysis acquisition and analysis. So if you want to get involved in artificial intelligence, think about whether your company has the above conditions, but also have to be indispensable.

The above is to share the content of this blog post, in fact, there are a lot of places to add, here is just for you to understand, if there are mistakes, many forgive.

Reprint Annotated: It_xiao Wizard

AI Research and sharing

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