What is an algorithm?
Defined algorithm
An automated process, according to certain rules of operation, the final state as the output result
Implementation of the algorithm
Mathematics level, program level, physical layer
AI algorithms
The definition of AI algorithms
Will be learning, data-driven algorithms
The core of AI algorithms
Machine learning algorithms
How AI shaping the future of humanity (with critical thinking to look at the problem)
Redefine human health (early detection machines, predict disease)
Social life dominator (machine guide social life)
Plant and mass entertainment empty (machine replacement workers)
Government or disappear country (under machine replacement decisions)
Philosopher become (blurred human will or the will of the machine) of the most popular career
Pets become human AI (artificial intelligence humans were strong rule)
AI on the impact of the current industry analysis
That customer data, product data that is
Product as a whole can be seen as an AI algorithm
The core technology of AI algorithms
Surrounding auxiliary applications of AI algorithms (intelligent customer service system, business data analysis, mapping knowledge workers experience transformed into [map])
Recommendation algorithm (who master the use of dopamine circuit)
Main industries:
Medicine: medical imaging, drug development, decision support, electronic medical records, pension
Finance: Auto research reports, automated trading, portfolio management, credit management
Algorithm is completely rational
Algorithm handles more complex (high-dimensional) problem
Learning algorithm at any time
Industry: AI-aided design, assembly line of intelligent, adaptive robot, fault detection equipment
Transportation: autopilot
Security: Smart Security
Agriculture: satellite prediction, fine fertilizer, agricultural intelligence, price forecasts (Agricultural Science and Technology Company: prospera, good grid world)
Education: Brain Science management, exercise of games, personal evaluation, individualized teaching
Industrial Ecology
Data annotation data cleaning, the basic features Analysis, Modeling and Analysis
How do we prepare AI era
Increase job
Data labeling division, model engineers, AI Product Manager
Reduce occupational
Truck drivers, simple number of analysts, paralegals
What job easier for AI era
Senior counselors: the more difficult it is to deal with people substitute
AI era, how to prepare
1, do the company's data layout
2, develop a learning plan to increase professional competence (professional ability, an excellent communicator who is difficult to replace)
3, learning AI basis, efforts to engage the leading edge
4, and strive to live a little longer
Recommended Books
AI basis, Life3.0, the ultimate algorithm