The recent rise of AlphaGo has awakened the world to artificial intelligence. What kind of industry is this? Here's a look at what industries AI will replace.
Artificial Intelligence is finally starting to come out of the lab into the harvest stage after decades of laboratory research. More than a decade, the rise of the mobile Internet had triggered a round of Internet revolution, Lee Kai-Fu believes that the future potential of the artificial intelligence market will be more than ten times the original mobile Internet market.
Now is the golden time to transform AI technology into industrial applications to meet actual business needs and solve real-world problems. At the same time, now is also the best time for AI scientists to start their own businesses. In the next ten years, more than 50% of the world's jobs will be replaced by AI, especially translators, journalists, assistants, security guards, drivers, sales, customer service, traders, accountants, nannies, and other jobs.
What exactly is artificial intelligence?
Artificial Intelligence - AI (Artificial Intelligence), which is a comprehensive discipline that encompasses computers, cybernetics, information theory, neurophysiology, psychology, linguistics, and more. The concept was first proposed at the Darmoston Academic Conference: Artificial Intelligence is from the perspective of computer application systems, research on how to create man-made intelligent machines or intelligent systems to simulate the ability of human intellectual activity, as well as the extension of human intelligence science (ps: note that includes 2 parts: simulation of human as well as the extension of human intelligence).
Examples of applications of artificial intelligence: fingerprint recognition, face recognition, retina recognition, iris recognition, expert systems, intelligent search, gaming, etc.
Some of the application areas of artificial intelligence
1) Robotics: Artificial intelligence robots, such as the PET chatbot, which is able to understand human language, use human language to have conversations, and can use human language to communicate with human beings. human language to carry on a conversation, and can use specific sensors to collect and analyze the emergence of the situation to adjust their movements to achieve a specific purpose.
2) The field of language recognition: this field actually intersects with the field of robotics, with applications designed to convert speech and [i]sound[/i] into information that can be processed: for example, voice-activated locks (specific speech recognition); voicemail, and future computer input
3) The field of image recognition: the technology that utilizes computers to process, analyze, and comprehend images, in order to recognize a variety of different Patterns of targets and objects of the technology; for example, face recognition, car license plate number recognition.
4) Expert system: a computer intelligent program system with specialized knowledge and experience, the database used in the background is equivalent to the human brain, with a wealth of knowledge reserves using knowledge data in the database and knowledge reasoning technology to simulate experts to solve complex problems.
A very intuitive example of a comprehensive application: google's driverless car, the project is undertaken by the Stanford Artificial Intelligence Laboratory director Seba leading a team at Google.
How smart is AI already?
In recent decades, it seems that artificial intelligence has begun to show a spurt of development. in May 1997, the IBM-developed Deep Blue (DEEP BLUE) computer defeated the chess master Kasparov, a perfect performance of artificial intelligence began to attract the attention of all the researchers. In the last fifty years, from calculators on cell phones to driverless cars, to today's Master 59 consecutive victories over top human Go players, to major changes that could change the world in the future, mankind seems to be slowly predicting - an era of artificial intelligence is coming.
For example, WaveNet mimics human speech
Last September, Google released a text-to-speech (Text-to-Speech) technology called WaveNet. Usually we hear computers outputting audio in an awkward way, but WaveNet outputs a more natural sound. When you talk to Siri, you still feel awkward because you can hear that Siri is a machine. But with WaveNet, perhaps, getting humans and machines to actually communicate won't be a dream anytime soon.
Nowadays, artificial intelligence is no longer the preserve of a few scientists; people are working on the subject in the computer science departments of almost every university in the world.
Regardless of your chosen area of specialization, the main courses in artificial intelligence and robotics include mathematics, computer courses, basic programming languages, algorithm design, operating systems, data structures, logic, probability theory and mathematical statistics, and other methods.
Branches of Artificial Intelligence
Next, let's take a look at this AI this comprehensive discipline of a professional branch, in general can be divided into the following branches: first, pattern recognition; second, machine learning; third, data mining; fourth, intelligent algorithms .
Pattern recognition: refers to the characterization of things or phenomena of various forms (numerical text of logical relationships, etc.) information processing and analysis, as well as describing things or phenomena to analyze and classify the process of interpretation, such as car license plate number recognition involves image processing analysis and other technologies.
Machine Learning: The study of how computers simulate or implement human learning behaviors, in order to acquire new knowledge or skills, and re-organize the existing knowledge structure refers to the continuous improvement of their own performance, or to meet the specific requirements of the operator.
Data Mining: knowledge discovery of the knowledge base, through algorithmic search to mine useful information, applied to market analysis, scientific exploration, disease prediction and so on.
Intelligent Algorithms: Some specific pattern algorithms to solve a certain type of problem; for example, the shortest path problem that we are most familiar with, as well as the engineering budget problem.
In foreign colleges and universities have their own favorites, and understanding the various branches can be a good guide to choosing the direction you are interested in, as well as a target when applying to schools.
AI employment orientation and reference to internships before applying to school
About AI employment in the United States, the main direction of scientific research institutions (robotics research institutes, etc.), hardware and software developers, college lecturers and so on. Of course, given that some high-tech companies have opened up new research areas, such as Google's driverless car... In the domestic then the employment prospects are better, the domestic industrial upgrading, the transformation of the IT industry industry and robotics and intelligent robots and wearable devices R & D in the future are strong hotspots exactly are 3-5 years later, just the time for students to return from their studies!
Employment side of the company and the meeting direction reference
1) search direction: Baidu, Google, Microsoft, yahoo, etc. (including intelligent search, voice search, image search, video search, etc. are the future direction)
2) medical image processing: medical devices, medical equipment, a lot of will be involved in the image processing and imaging, large companies such as Siemens, GE, Philips and so on.
3) computer vision and pattern recognition direction: previously mentioned fingerprint recognition, face recognition, iris recognition, etc.; there is also a large direction of license plate recognition; currently in view of the video surveillance is a hot issue, do tracking and recognition is also good;
4) There are also a number of image processing talent demand for companies such as VIA, Panasonic, Sony, Samsung and so on.