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Artificial Intelligence (AI) and Top Universities to Study

Posted on by intern

Artificial Intelligence

Do you know what Artificial Intelligence (AI) is? To properly talk about the details of AI, we must first introduce the person responsible for its creation. Alan Mathison Turing was a British logician and computer pioneer who began researching artificial intelligence in the mid-20th century. He came up with a computer that can remember everything and reads information step by step. The program’s instructions, likewise, stored in the computer’s memory as symbols, are what ultimately decide what happens throughout the scan. 

What is Artificial Intelligence (AI)?

AI is revolutionizing multiple industries and is expected to become even more significant in the future due to its exceptional language comprehension, multitasking abilities, and creative writing capabilities .Here are some of the top AI technologies to watch out for:  

  • Natural Language Processing (NLP): NLP is a branch of AI that focuses on understanding and processing human language.  
  • Machine Learning: Machine learning is a type of AI that allows machines to learn from data and improve their performance over time.  
  • Computer Vision: Computer vision is a branch of AI that focuses on enabling machines to interpret and understand visual data.  

Chatbots: Chatbots are AI-powered virtual assistants that can interact with users via text or voice. ChatGPT is currently one of the most popular AI technologies and is set to transform the way we interact with technology. Whether you’re interested in  

  • Chatbots,  
  • Virtual assistants,  
  • Language translation,  
  • or Content generation 

It has the ability to understand natural language, answer questions, complete sentences, and even generate stories and poetry! By understanding what AI is, how it works, and its impact on various industries. You can prepare yourself for the future job industry! Use the resources provided in this article to learn more about AI and stay up to date on the latest developments.   

HOW DOES AI WORK?

It’s based on a deep neural network that learns from huge amounts of text data, and it’s used in chatbots, virtual assistants’ language translation, and content generation. Some of its best features include its large-scale language understanding, multi-task learning, and creative generation. If you want to learn more, check out the OpenAI website, read research papers, attend AI conferences, or join online communities. 

Once you’ve gained some insight into the fascinating world of AI, you may be inspired to pursue it further and study it at the university level. Not only will it give you a chance to gain a better understanding of AI, but it can also open up a world of exciting opportunities for you after graduation.

If you’re wondering where to start, look no further than our list of top 10 universities for AI. Our article will take you through the best schools for AI, highlighting what makes them stand out and what unique benefits they offer to their students. Whether it’s MIT or Stanford University, each of these schools boasts top-notch AI programs and resources to help you achieve your academic and career goals. So what are you waiting for? Start exploring your options today and take the first step towards a fulfilling career in AI! 

Top 10 Universities to Study AI

The list of universities around the world that have the best faculty and technology to study AI is listed below. 

1. Massachusetts Institute of Technology (MIT)

MIT is a leader in AI research and offers various programs in AI and machine learning. The school’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is one of the largest AI research centers in the world. Students can pursue undergraduate and graduate degrees in AI and related fields. 

 2. Stanford University

Stanford is known for its AI research and offers various programs in AI, including a Master’s in Computer Science with a concentration in AI. The school’s AI lab is home to cutting-edge research and technology, and its faculty includes renowned AI experts. 

3. Liverpool University

The University is driving the city’s knowledge economy through close collaboration with fellow universities, industry and the NHS, helping the Liverpool City Region compete in the global business world. The University is a globally-focused institution with partnerships throughout the world, including research institutes, universities, governments and industrial organizations. 

 4. University of California, Berkeley

UC Berkeley’s AI program is interdisciplinary and includes courses in computer science, statistics, and cognitive science. The school’s AI research focuses on areas such as deep learning, robotics, and natural language processing. 

5. University of Edinburgh

Caltech’s AI program focuses on research in machine learning, computer vision, and robotics. The school offers undergraduate and graduate programs in computer science with a concentration in AI and machine learning. 

6. Georgia Institute of Technology

Georgia Tech’s AI program includes courses in machine learning, natural language processing, and computer vision. The school offers a Master of Science in Computer Science with a concentration in machine learning and provides opportunities for research and collaboration. 

7. University of Birmingham – Edgbaston

At the University of Birmingham, research expertise allows for an unusually rich and innovative programs for undergraduate study which enables students to leave ready for a career path in industry or research. 

The three-year Artificial Intelligence and Computer Science BSc degree is structured to give students a thorough understanding of the field of computer science whilst providing them with the opportunity to develop a strong theoretical grounding in Artificial Intelligence with many opportunities to put this in to practice.  

8. Oxford University

Oxford’s AI program is highly regarded and includes courses in machine learning, robotics, and natural language processing. The school offers a Master’s in Computer Science with a concentration in AI and provides opportunities for research and collaboration. 

 9. Arizona State University

Arizona State University’s School of Computing, Informatics, and Decision Systems Engineering offers courses in AI and machine learning, as well as an undergraduate degree in computer science with a specialization in artificial intelligence. It also has research initiatives focused on areas such as autonomous systems and natural language processing. 

10. Griffith University

Students will have the choice of studying topics such as: Programming Languages, Distributed Computing, Computer Architectures, Algorithms and Operating Systems, Machine Learning, Intelligent Systems, Robotics, Programming for Web, Mobile and Embedded Applications, Scientific Computing, Visualization and Big Data Mining, and Analytics. They can choose between one of two majors and also select from a range of elective courses. In the last year of studies, students will complete a practical project for industry or research placement providing first-hand experience of the knowledge, skills and attributes required to succeed in full-time employment. 

Tips on Applying to AI Courses

  • Do your research! Not all universities have AI under their Science faculty, you can find this information over on Google and each universities’ website or scroll through World Report & QS World University Ranking.

  • Note down the important dates, requirements, numbers, and emails. Each university have different deadlines, requirements, portals, and contact person. Keep an excel sheet nearby to track your university application progress
  • Brainstorm with like-minded people. Choosing your degree might feel overwhelming, especially if you want to venture into AI—where it is still an unfamiliar subject to touch upon with your school counsellor. The best way is to talk with people who knows what’s up. You can find them by networking with universities alumni, or expert on the field.  

Even better, you can skip all these steps by signing up on Eduloco’s platform here. With Eduloco, you’ll have access to a comprehensive database of universities and programs, as well as instant eligibility assessment and guidance on visa applications and other requirements. Join our community of international students and make your study abroad dreams a reality. Sign up on our website now! 

 

What Your College Didn’t Tell You About IR 4.0

Posted on by Liyana

What Your College Didn't Tell You About IR 4.0

The Fourth Industrial Revolution (IR 4.0) is happening!

We’ve come a long way since the first industrial revolution. After centuries of our efforts to streamline the production and manufacturing process, we finally find ourselves in the age of a remarkable transformation due to the digitization of manufacturing, called the Industrial Revolution 4.0, or IR 4.0. It is also being introduced in higher education. Students can now go to a college dedicated to implementing elements of Industry 4.0 in the education system to prepare them for the future workforce.

Industry 4.0 explores data and machine learning, revealing possibilities that past scientists never have imagined. IR 4.0 isn’t all about new and advanced systems and technology; this new phase shifts how companies operate today through the massive amounts of data obtained across different devices.

Before we begin, here’s what you need to know about Industry 4.0 and its predecessors.

Industry 4.0 timeline that college should include
Image source: Mathema
The First Industrial Revolution (18th Century)

The mechanizing of the manufacturing process first began with manual labor and work animals. People incorporated water and steam to power engines in factories.

 
The Second Industrial Revolution (19th Century)

The use of electricity and steel was eminent in this phase to increase the speed and mobility of factory machinery. Assembly line was also introduced to ensure a continuous and systematic workflow in industrial operations, which was prominent in the early stages of automobile production.

 
The Third Industrial Revolution (20th Century)

Factories moved to the utilization of electronic equipment and computers to increase productivity of the manufacturing process. We began focusing on mechanical and digital technology (automation, IT systems, electronics).

 
The Fourth Industrial Revolution (Today)

IR 4.0 optimized the computerization from the third industrial revolution and developed new levels of improvement for the manufacturing industry we know today.

IR 4.0 adopts the use of electronics, automation, and computers from the past revolution and enhanced the manufacturing performance with smart systems and tools such as machine learning, Artificial Intelligence (AI), high-speed Internet, wireless trackers and scanners, and automated equipment.

 
Elements Of Industry 4.0 That Your College Should Tell You

The shift from IR 3.0 to IR 4.0 resulted in the emergence of new and efficient elements that ease a variety of processes in the manufacturing industries. As we shift to an era of advanced digitization in the workforce, you should choose a college that includes elements of Industry 4.0 in its courses. Some of the widely used ones are:

  • The internet of things (IoT)
  • The industrial internet of things (IIoT)
  • Cyber-physical systems (CPS)
  • Smart manufacture
  • Smart factories
  • Cloud computing
  • Cognitive computing
  • Artificial intelligence
college should cover Industry 4.0 elements
Image source: Aethon

So, what can IR 4.0 do for us?

Increase Convenience And Enhance Experiences

The Internet of Things (IoT) is actually simpler than it sounds. It refers to physical devices that can collect and share data with each other as long as they are connected to the Internet

Think of your lights or air conditioner unit that you can control with an application on your phone. This is made possible due to a seamless connection established between a wireless network and a sensor installed in the gadgets. The increased intelligence in these digital devices enables them to become more responsive, slowly unifying the digital universe with ours.

Want To Know The Best Part?

As consumers, we now have access to devices that are made to be more convenient, efficient, and fast. From homes to offices, we are surrounded by smart devices that can automatically turn on lights when we’re in the room, and even smart speakers that can play music just by listening to our command.

hands on phone and laptop
Image source: Unsplash

Self-driving cars (Tesla, anyone?) also help to decrease road mishaps; sophisticated sensors and systems in these cars detect potential danger and formulate a preventative response. As a result, road accidents will decrease along with casualties and property damage.

college student using laptop
Image source: Unsplash
Improve Business Operations

Have you heard of big data? It is a massive volume of data that swarms a business on a daily basis. Organizations analyze the data for helpful insights that can improve their planning and decision-making process. Below are some real-world examples of the usage of big data:

  • Monitor health conditions through data obtained from fitness trackers
  • Navigate unfamiliar areas through road mapping in autonomous vehicles
  • Discover and predict consumer shopping habits

Big data stores massive amounts of data that is always growing and updating itself with the latest information. Its size and complexity are so extensive that no traditional data management system can handle the speed and size of the process.

The access to real-time data allows businesses to flourish. As it constantly updates itself through new data generated each second, businesses can obtain any real-time information regarding consumer behaviour, product sales report for different chains, profitability, and even company performance.

The best part is, it only takes a quick search to receive an abundance of data. Then, it will be analyzed by companies to determine the best ways to improve their operations in order to boost their productivity and profitability.

You can now obtain a certificate in data science or data analytics in college. As businesses around the world shift to big data, many students study big data analytics to broaden their career prospects in Industry 4.0. 

machine in factory
Image source: Unsplash
Optimize Supply Chain Management Performance

The supply chain industry is constantly pressured to produce cost-effective products quickly without jeopardizing the quality. Although humans are capable of carrying out various complex tasks in the industry, there are other factors that affect their performance such as human error, exhaustion, and injury.

Machine Learning (ML) helps reduce risks while carrying out complex tasks efficiently. A subset of Artificial Intelligence (AI), machine learning does not require specific programming to carry out its actions. It only relies on an algorithm or system to analyze large amounts of data, detect potential risks, and predict appropriate solutions.

With the predictive analysis function, manufacturers are able to predict risks and solve them by fixing flaws and errors detected by machines. This is especially important in high-risk jobs like transporting hazardous items and at construction sites.

Imagine how many lives could be saved when we have the technology that predicts and prevents workplace accidents.

engineer working on machines
Image source: Unsplash
Make Your Mark In IR 4.0 

Industry 4.0 is not slowing down anytime soon. It is in need of more talents who understand the complexity of IR 4.0’s smart machines and systems in order to utilize them well.  

To make your mark in the Fourth Industrial Revolution, you must take the correct education pathway. We’ve compiled a list of interesting college degrees that you should pursue in order to stay relevant to the industry. The future is in your hands! 

Computer Engineering 

Computer Science 

Information Technology 

Mechatronic Engineering 

Have troubles applying for college? We can help! Contact us at +60 11-2069 9087 or drop us an email at [email protected]. 

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