Top 20 Artificial Intelligence Research Labs In The World In 2021 – Analytics Insight

  • Lauren
  • April 6, 2021
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by Apoorva Komarraju
April 6, 2021

Artificial intelligence is continuously evolving and propagating across every industry. With much of the groundbreaking innovations moving the industry forward, the technology is continuously making headlines every day. AI refers to software or systems that perform intelligent tasks like those of human brains such as learning, reasoning, and judgment. Its applications range from automation and translation systems for natural languages that people use daily, to image recognition systems that help identify faces and letters from images. Today, AI is used in different forms including digital assistants, chatbots, and machine learning, among others.
Here’s a look at the top 20 AI Research Labs in the world that are leading the research and development in AI and related technologies.

The Alan Turing Institute
The Alan Turing Institute is the national institute for data science and artificial intelligence headquartered in the British Library, London. The institute was created as the national institute for data science in 2015. And in 2017, as a result of a government recommendation, it added AI to its remit. Comprising 13 universities and the UK Engineering and Physical Science Research Council, the institute helps make the UK the best place in the world for data science and AI research, collaboration, and business. Recently, the Alan Turing Institute shifted its focus to exploring the complicated ethics in the use of AI algorithms and data analytics for predictive purposes by police forces.

Laboratory of Imaging, Vision and Artificial Intelligence (LIVIA)
LIVIA is a research group accredited by ÉTS which brings together several professors, associate members, and graduate students. The laboratory’s scientific orientation revolves around the key foundations of large-scale processing, analysis, and interpretation of images and videos. LIVIA’s R&D activities are based on six main conceptual axes and their main fields of application: (1) machine learning, (2) computer vision, (3) pattern recognition, (4) adaptive and intelligent systems, (5) information fusion, and (6) optimization of complex systems.

J.P. Morgan AI Research Lab
J.P. Morgan’s AI Research team is based in New York and present in key hubs worldwide. The goal of its AI Research program is to explore and advance cutting-edge research in the fields of AI and Machine Learning, also in related fields like Cryptography, to develop solutions that are most impactful to the firm’s clients and businesses. The firm’s AI Research team involves experts in various fields of AI. They pursue primary research in areas relative to its research pillars as well as concrete problems related to financial services.

Oxford Machine Learning Research Group
The Machine Learning Research Group at the University of Oxford comprises like-minded research groupings led by local faculty. It is a sub-group within Information Engineering in the Department of Engineering Science of Oxford University. This is one of the core groupings that make up the wider community of Oxford Machine Learning and have a particularly strong overlap with the Oxford-Man Institute of Quantitative Finance. The Oxford ML Research Group uses statistics to handle both information and uncertainty in a variety of research fields, including citizen science, biology, public health, autonomous intelligent systems, and animal husbandry.

ElkanIO Research Labs
ElkanIO Research Labs is an AI research lab based in Cochin, Kerala, India. Founded in 2017 with a mindset to tackle real-world problems, this research lab has hands-on experience in developing Artificial Intelligence and Advanced Analytics solutions to cater to various industry needs. Its three major service lines include Artificial Intelligence Chatbot development, Advanced Data Analytics solutions, and Business Automation solutions powered by Computer Vision, Machine Learning, Deep Learning, and NLP solutions.

MIT Computer Science and Artificial Intelligence Laboratory
As a research institute at the Massachusetts Institute of Technology (MIT), CSAIL is the largest on-campus Laboratory for Computer Science and AI. CSAIL’s research activities are organized around a number of semi-autonomous research groups, each of which is headed by one or more professors or research scientists. These groups are divided up into seven general areas of research: AI, Computational biology, Graphics and vision, Language and learning, Theory of computation, Robotics, and Systems, including computer architecture, databases, distributed systems, networks, and networked systems, and software engineering among others.

UTCS AI-Lab – University of Texas
UTCS AI-Lab addresses the central challenges of machine cognition, both from a theoretical perspective and from an empirical, implementation-oriented perspective. The Lab has expanded to seven faculty in core areas of AI, with about 50 Ph.D. students, numerous research staff, and a dozen affiliated faculty in related departments. It continues to investigate the challenges of machine cognition, especially machine learning, knowledge representation and reasoning, and robotics.

Microsoft Research Lab – AI
Microsoft Research AI pursues the use of machine intelligence in new ways to empower people and organizations, including systems that deliver new experiences and capabilities that help people be more efficient, engaged, and productive. It brings together the range of talent across Microsoft Research to deliver ground-breaking advances in AI. This R&D initiative coalesces advances in machine learning with innovations in language and dialog, human-computer interaction, and computer vision to solve some of the challenges in AI.

Berkeley AI Research Lab
The AI Research Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, NLP, planning, control, and robotics. The Lab includes over 50 faculty and more than 300 graduate students and postdoctoral researchers pursuing research on fundamental advances in the above areas as well as cross-cutting themes. These include multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities.

USC Information Sciences Institute
USC Information Sciences Institute is a world leader in the research and development of advanced information processing, computer, and communications technologies. A unit of the University of Southern California’s Viterbi School of Engineering, ISI is one of the nation’s largest, most successful university-affiliated computer research institutes. The institution’s work ranges from theoretical basic research, such as core engineering and computer science discovery, to applied R&D, such as design and modeling of innovative prototypes, and devices.

Fraunhofer Heinrich Hertz Institute
With a rich and innovative history of 90 years, the Fraunhofer Heinrich Hertz Institute (HHI) is one of the oldest artificial intelligence research labs in the world. Located in Berlin, Germany, the HHI studies the influence of technological advancements on our future, especially in the way we communicate. One of HHI’s groups, the Machine Learning group, focuses on deep learning research. As of recent times, this AI research institute is working on testing the 5G technology in Berlin.

IBM Research
Started by one of the tech giants, the IBM Research lab is located in Ireland and aims at improving the results for its clients while discovering the possible areas of development in the IoT domain, artificial intelligence, privacy, cloud, etc.
Their current work in Fluid Intelligence studies the development of AI that combines different forms of knowledge and learns things on its own without feeding trained models new data in huge amounts, saving training time and efforts to find new data each time. IBM AI Research, an affiliated group, is also offering a toolkit designed to help identify, and remove bias in artificial intelligence.

King’s College London
Britan’s famous King’s College London’s Department of Informatics offers undergraduates and postgraduates programs that study the theoretical and practical changes caused by the development of digital societies. Categorized into five “hubs” and various groups, the lab conducts research in areas ranging from Autonomous Systems to Artificial Intelligence.
One of its groups, Distributed Artificial Intelligence, investigates the combination and interaction between artificial intelligence and the society we live in.

Facebook AI Research (FAIR)
Started in 2013, Facebook created the FAIR group to study and advance artificial intelligence technology through open research. In an effort to understand the nature of intelligence to create better intelligent machines, FAIR has grown to become an international research organization with labs spread out across regions like Menlo Park, New York, Paris, Tel Aviv, and London, to name a few. Over the years, AI has become a central part of Facebook in such a way that FAIR is now a part of a larger Facebook AI organization that works on all aspects of AI R&D, starting from fundamental research to applied research and technology development.

DeepMind Lab
DeepMind Lab is a one-of-its-kind AI lab. In DeepMind’s own words, it is a first-person 3D game platform designed for the research and development of general artificial intelligence and machine learning systems. This lab studies how autonomous artificial agents can learn complex tasks in large, partially observed, and virtually diverse worlds. DeepMind AI Lab has a simple and flexible API that facilitates creative-task designing and novel AI-designing which can be explored and modified. Powered by a fast and widely used game engine, it is tailor-made for the research community for efficiency.

Located in Canada, AltaML is an AL lab that aims at elevating human potential through applied artificial intelligence. Their programs create dynamic partnerships to provide real-world application, data, mentorship, and AI talent incubation for the right insight and AI integration for businesses. Teams are built around industry-led projects and are guided by machine learning mentors to create working models that will change the way one thinks about applied AI.

Brain AI Lab
A research group at the School Of Electronics Engineering at Kyungpook National University in South Korea, they study artificial intelligence to understand the human brain. They develop novel machine and deep learning algorithms inspired by the underlying mechanisms of brain functions. They use the advanced machine and deep learning models to neurophysiological data recorded from the brain to understand natural language and developing diagnostic and treating tools. Their latest paper on neuromodulation talks about how transcranial alternating current stimulation reduces network Hypersynchrony and persistent vertigo.

Baidu Research
With labs in Silicon Valley and Beijing, Baidu is an AI research lab that brings together top talents from around the world to focus on futuristic fundamental research in artificial intelligence. The companies research areas range from data science and data mining, natural language and speech, business intelligence to robotics and autonomous driving, computer vision, machine learning, and deep learning, and quantum computing.

Tencent AI Lab
Tencent is a Chinese AI Lab that houses more than 100 scientists from world-renowned universities and more than 300 experienced engineers. Their fields of research include areas like computer vision, speech recognition, NLP, and machine learning. Tencent collaborates with businesses to create content games, social networking, and platform-based AI tools.

Stanford AI Lab
The Stanford Artificial Intelligence Laboratory (SAIL) is a research, teaching, theory, and practice center since 1962. SAIL is a dynamic and community-oriented lab providing many opportunities for research collaboration and innovation. Committed to advance knowledge and foster learning in an atmosphere of discovery and creativity. The faculty conducts world-class research in all areas of artificial intelligence like robotics, machine learning, deep learning, NLP, vision and learning, genomics, healthcare, and social impact.