Artificial Intelligence Research Institute & Laboratory Science Popularization

Original article was published by Jarvis+ on Artificial Intelligence on Medium


Artificial Intelligence Research Institute & Laboratory Science Popularization

After entering the 21st century, artificial intelligence (AI) technology has developed rapidly, and many countries have invested a lot of resources in the research and development of artificial intelligence technology.

To some extent, the top artificial intelligence laboratory represents the development direction and top technology in the field of artificial intelligence. Therefore, understanding the research level of artificial intelligence laboratories is of great help to companies or individuals who want to join the artificial intelligence industry.

01
MIT Computer Science and Artificial Intelligence
Laboratory (CSAIL)

The Massachusetts Institute of Technology (MIT) computer science research began in the 1930s, and artificial intelligence research began after the 1959 Dartmouth Conference. In 2003, the two merged into the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory (MIT Computer Science and Artificial Intelligence Laboratory, CSAIL), this laboratory is the world’s largest campus laboratory, the research direction of artificial intelligence mainly involves brain and Cognitive science.

Research direction: artificial intelligence, seeking to understand and develop artificial systems of reasoning, perception and behavior that can be easily understood by humans and machines; systems, seeking new principles from both software and hardware; computer systems with models and indicators; theory, Seek for the universality and real-time nature of mathematics in computing.

Admissions and internship (admission) advice: Undergraduate grades are required to be excellent, scientific research experience is also required to be sufficient, and at the same time, you need to prepare published papers and a letter of recommendation. For people who are not rich in research experience and academic achievements, a high-quality recommendation letter from an industry leader is a very bonus project.

02
Carnegie Mellon University School of Robotics
(Robotics Academy)

Carnegie Mellon University in the United States is the first university in the world to set up a robotics department. The School of Robotics is affiliated with Carnegie Mellon University and was formerly the Robotics Institute established in 1979. The research focuses on the combination of theory and practical experience, and the goal is to become the best place to research robots in the world.

Research direction: As one of the main units for NASA’s aerospace scientific research tasks, the School of Robotics of Carnegie Mellon University has achieved extraordinary results in the research of autonomous driving, lunar exploration walking robots, and single-wheel gyroscopic rolling detection robots. At present, based on the ROBOTC platform, the college has released nearly 20 educational robot-related courses, forming a course system covering K12 to university level.

Admissions and internship (admission) advice: Undergraduate application requirements: Carnegie Mellon University requires applicants from countries where English is not a native language to provide TOEFL scores or IELTS scores; SAT/ACT scores: most Majors require the submission of 2 SAT II test scores. New SAT individual score requirements: reading and writing 710–770, of which reading 35–39, mathematics 750–800; the average ACT range is 31–34. Postgraduate application requirements: TOEFL requirements for computer science and biological sciences are not less than 100 points, engineering requirements are not less than 84 points; IELTS requirements are mostly above 7.0. All applicants need to apply through the Common Application American University Application System; provide standardized test scores, while some colleges require applicants to provide SAT Sub scores; teacher recommendation letters; application documents and personal statements.

03
Stanford University’s Artificial Intelligence Laboratory (SAIL)

Stanford University’s Artificial Intelligence Laboratory (SAIL) was established in 1962 and has been committed to promoting robot education. SAIL started the early research on machine vision and robotics, and it is also the undisputed birthplace of speech recognition technology. In the 1960s, SAIL took the lead in inventing a computer that can play chess. In the 1970s, it was the first to develop an artificial intelligence language. Now it has begun research on autonomous driving technology.

Research direction: computational biology, speech recognition and machine learning, etc. In addition, Wu Enda and Li Feifei, who are currently very well-known in China, are both professors at Stanford University. Li Feifei participated in the establishment of the famous ImageNet computer vision recognition database and challenge. Every year, it attracts the participation of image recognition programs from major companies, which greatly promotes the technological development in the field of image recognition.

Admissions and internship (admission) advice: The most important application materials are previous research experience. Applicants need to provide materials including what successful research they have done before, published papers (whether they are the first author and the journal to which they are published, the reputation of the conference), etc., which will help them enter the laboratory internship. At the same time, a letter of recommendation written by an authoritative person is also extremely important. If the applicant has been highly praised by a respected professor, then it is very likely to be accepted for internship.

04
Google DeepMind Artificial Intelligence Lab

DeepMind was originally a British artificial intelligence company, co-founded by artificial intelligence researcher and neuroscientist Demis Hassabis and others. It was acquired by Google in 2014. The world-famous AlphaGo is the result of this company. According to Hathabis, the overall goal of DeepMind is to “conquer problems in the field of intelligence.” This has prompted the company to continue to develop multi-functional “universal” artificial intelligence that can think broadly and efficiently like humans.

Research direction: Combine the most advanced technology of machine learning and system neuroscience, establish a powerful general learning algorithm, create a learning algorithm that can optimize one’s behavior through interaction with the surrounding environment, improve oneself through continuous trial and error, be responsive, and be able to learn effectively AI.

Admissions and internship (admission) advice: DeepMind hires R&D scientists, R&D engineers and pure software engineers. If applicants wish to join DeepMind as a research and development scientist, they must have a PhD degree, preferably several years of machine learning research experience, and rich experience in academia or industrial research laboratories. If applicants want to join as R&D engineers (still in the field of R&D, but more applied than theory), they still need at least a master’s degree and a lot of experience in machine learning research.

05
Microsoft Research AI Research Institute

Microsoft established Microsoft Research as early as 1991. In 2014, Microsoft co-founder Paul Allen co-founded the Allen Institute for Artificial Intelligence. It is understood that the Microsoft Research AI Institute is divided into thirteen research groups, a total of nearly a hundred scientists in the field of artificial intelligence will be concentrated here. These groups include adaptive systems and interaction groups, aerial information and robotics group, conversational systems group, deep learning group, information and data science group, knowledge technology group, language and information technology group, machine learning and optimization group, machine teaching group, Natural language processing group, perception and interaction group, productivity group, reinforcement learning group.

Research direction: human-computer interaction, human-computer dialogue, machine learning and thought perception, uncertain decision-making challenges on robotic platforms, synthesis algorithms and system applications, natural language processing, Markov decision-making process and contextual decision-making process化 etc.

Admissions and internship (admission) advice: applicants who want to enter the MSAI Institute for internship must prepare an English resume. The suggested wording does not need to be too flashy, simple and clear is the best. The key point is to highlight your programming ability and related project experience. If you have a recommendation letter from a well-known person in the relevant industry, you can attach it. There may be four rounds of telephone interviews, basically asking and investigating technical aspects, except for basic questions, which are asking some questions about the project. In the process of answering questions, applicants can show their familiarity with relevant technical knowledge as much as possible, which will help to be admitted.

06
Facebook AI Research (FAIR) & Applied Machine Learning

In the field of artificial intelligence, Facebook can be said to be a rising star compared to Microsoft and Google. Since its inception, Facebook has developed two formal artificial intelligence laboratories, one named FAIR (Facebook’s Artificial Intelligence Research), led by a famous artificial intelligence scholar and New York University professor Yann LeCun, mainly dedicated to basic science and long-term project research . The other is called AML (Applied Machine Learning), which is led by Joaquin Candela, an expert in the field of machine learning. The main task is to find ways to apply research results in the field of artificial intelligence and machine learning to Facebook’s existing products.

Research direction: Mainly dedicated to basic science and long-term project research, as well as finding ways to apply research results in the field of artificial intelligence and machine learning to Facebook’s existing products.

Admissions and internship (admission) advice: Facebook has begun to cooperate with some Chinese universities, such as Tsinghua University and Shanghai Jiaotong University, adopting the same cooperation model as the United States, France and other places. If applicants want to get the opportunity to enter the Facebook artificial intelligence laboratory, they can first participate in related projects in the artificial intelligence field of their university. Facebook will pay attention to the university’s scientific research projects, look for their areas of interest, and find students who do those studies, and provide them with internship opportunities. Similarly, applicants can also actively submit internship applications. The most important thing is the previous research experience, the publication of the paper, and a high-quality recommendation letter.