Founded in 1956 as an academic discipline, AI can also be defined as a system where machines mimic human behaviour. As machines are becoming more and more capable with each passing day, the activities known to require “intelligence” are usually removed from the definition of AI, a phenomenon called the ‘AI Effect’. Moreover, AI effect is when people underrate an AI program’s behaviour by stating it’s not actual intelligence. Surprisingly, as soon as solving a problem, it’s no more a part of it. Brought up by AI researchers, today, a humongous amount of applications has algorithms and software well-integrated into them. Read on to know everything about it and career in AI.
What does it do or can do?
If we talk about capabilities of AI in 2018, they include autonomous cars, understanding human speech, military simulations, understanding human speech etc. Since its inception, Artificial Intelligence has been programming computers for things like reasoning, problem-solving, perceiving, planning, learning etc.
Will AI be a contributing factor towards unemployment?
There’s no denying to the fact that AI will delete many jobs across numerous fields. But, the good thing is that it will most probably generate around 2.3 million jobs, which is way more than the number of jobs it will get rid of, i.e. 1.8 million by 2020.
What are the most in-demand AI jobs today along with their pay-scales?
- Machine learning engineer- $142,900
- Data Scientist- $141,800
- Research Scientist- $137,700
- Business Intelligence Developer- $136,486
- Computer Vision Engineer- $136,100
Can anyone pursue a career in AI?
Well, there are some standard requirements to be able to go for higher education in AI like programming skills and a degree in Computers to pursue a career in AI. Also, these requirements are not exhaustive as the candidates also need to be familiar with the techniques and algorithms concerning neural networks to establish a career in AI. So, they not only should possess excellent thinking ability but should also know how to work with computers and code.
I want to make a career in AI What colleges should I look for?
Stanford has been offering education in the field of Artificial Intelligence since 1962. Also, the Stanford AI Lab provides the students with multiple courses, manages outreach programs to local schools, and hosts engaging events. Courses consist of topics such as Decision Making Under Uncertain Circumstances, the Cutting-Edge of Computer Vision, and Advance Robotic Manipulation. Students at the school find the AI Lab to be amongst their greatest of resources. Presently, there are 4 mandatory courses: Artificial Intelligence: Principles and Techniques, Logic and Automated Reasoning, and 2 electives that students can choose. These may be Machine Learning, Natural Language Processing, and Computer Vision. Moreover, 3 years are provided to complete the certification.
Majority of the programs offered by MIT are based on technology and are related to AI. MIT’s AI Lab started its own experimentation and research in 1959. After 4 years, the Laboratory for CS was also opened. As of today, both the labs have been merged to form the CS and AI Lab, the most prominent and the largest of the laboratories at MIT. Currently, 100+ faculty members and senior researchers are on-board who represent 8 academic departments. Also, they manage hundreds of projects and over 50 research groups. Other candidates include 41 post-doctoral associates and fellows, around 350 graduate students, and 52 undergraduate students. Overall, there are more than a thousand members of the CS and AI Lab. All experimentation and research come under 3 categories: AI, Theory, and System.
The University of California, Berkeley (Berkeley, CA)
This institution houses a substantial array of persons and facilities concerning the research and teaching of Artificial Intelligence. Also, Berkeley AI Research Lab has over 2 dozen faculty members and more than 100 students. The Artificial Intelligence laboratory also provides the students with seminars and courses like Robotic Manipulation and Interaction and Computational Imagining. The Robotics Laboratory includes:
- Robot Learning Group
- Automated Science and Engineering
- Medical Robotics at Berkeley
- CITRIS People and Robots Initiative
- Biomimetics Millisystem Lab
- Network Embedded Systems Technology
- Embedded Human project
- Lab for Engineering and Automation Science
- Berkeley AeRobot (BEAR) project
- Computer Vision group
The Lawrence Scientific School, which dates to 1857, was Harvard’s initial formal effort towards higher education in engineering and sciences. Established in 2007, the name of school now is “John A. Paulson School of Engineering and Applied Sciences”. With over 1,300 students and 76 faculty members, today it is a huge institution. Students are encouraged to participate in a cross-disciplinary research and are exposed to networking opportunities with the Harvard College Engineering Society. Moreover, the school also houses the Technology and Entrepreneurship Centre, the Wyss Institute for Biologically Inspired Engineering and the Institute for Applied Computational Science.
AI and the subsets of Machine Learning, Computational Linguistics, Robotics, and Multi-Agent Systems are researched in-detail by senior faculty members. In 2013, Harvard and MIT were awarded 25 million dollars each by the National Science Foundation, in order to create the centre for Minds, Brains, and Machines. In 2015, Harvard Kennedy School’s future society created ‘The AI Initiative’, another AI Research Centre. Hence, all these factors make Harvard one of the only schools worldwide to put as many resources to actually understand the ramifications of Artificial Intelligence.
At CMU, the School of Computer Science offers a more personal and intimate connection to the study of AI because of the legacy of professors and researchers Allen Newell and Herbert Simon. Furthermore, kudos to their ground-breaking achievements in the field, the study of AI is amongst the most interdisciplinary fields at CMU, with involvement from students and faculty in different departments as CS, Statistics, Computer Engineering and Electrical.