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Top 20 Artificial Intelligence Research Laboratory in the World

Updated: Apr 9, 2021


Source - John Hopkins center for Communication Programs

Artificial intelligence is constantly evolving and spreading through all industries. With many innovative advances propelling the industry forward, technology is constantly making headlines on a daily basis. Artificial intelligence (AI) refers to software or systems that perform intelligent tasks similar to those performed by human brains, such as learning, reasoning, and judgment. Its applications range from everyday automation and translation systems for natural languages to image recognition systems that assist in identifying faces and letters from photographs. AI is also used in a variety of applications, including digital assistants, chatbots, and machine learning, among others.

Here is a list of the top 20 AI Research Labs in the world, which are at the forefront of AI and related technology research and development.


The Alan Turing Institute is a national institute for data science and artificial intelligence-based in London's British Library. In 2015, the institute was founded as the national institute for data science. In 2017, it expanded its mandate to include artificial intelligence (AI) in response to a government recommendation. The institute, which is made up of 13 universities and the UK Engineering and Physical Science Research Council, works to make the UK the best place in the world for data science and AI research, partnership, and industry. The Alan Turing Institute recently turned its attention to investigating the complex ethics of police forces' use of AI algorithms and data analytics for predictive purposes.



LIVIA is an ÉTS-accredited study organization comprised of many professors, associate members, and graduate students. The theoretical focus of the laboratory revolves around the fundamentals of large-scale image and video processing, analysis, and interpretation. LIVIA's R&D activities are organized around six major conceptual axes and their respective application fields: (1) machine learning, (2) computer vision, (3) pattern recognition, (4) adaptive and intelligent systems, (5) knowledge fusion, and (6) optimization of complex systems.


J.P. Morgan's AI Research team is headquartered in New York and has offices in major global cities. The AI Research program's mission is to investigate and advance cutting-edge research in the fields of AI and Machine Learning, as well as related fields such as Cryptography, in order to create solutions that are most beneficial to the firm's clients and businesses. The firm's AI Research team includes AI experts from a variety of fields. They conduct primary research in areas relevant to the research foundations as well as concrete financial services issues.


The University of Oxford's Machine Learning Research Group is made up of like-minded research groups headed by local faculty. It is a sub-division of the Department of Engineering Science at Oxford University's Department of Information Engineering. This is one of the key groups that comprise the larger Oxford Machine Learning culture, and it has an especially strong overlap with the Oxford-Man Institute of Quantitative Finance. In a number of research areas, including citizen science, genetics, public health, autonomous intelligent systems, and animal husbandry, the Oxford ML Research Group employs statistics to deal with both knowledge and confusion.


ElkanIO Research Labs is an artificial intelligence (AI) research lab located in Cochin, Kerala, India. This research center, which was established in 2017 with the aim of tackling real-world issues, has hands-on experience in designing Artificial Intelligence and Advanced Analytics solutions to meet the needs of various industries. Its three main service lines are Artificial Intelligence Chatbot creation, Advanced Data Analytics solutions, and Business Automation solutions powered by Computer Vision, Machine Learning, Deep Learning, and Natural Language Processing solutions.


CSAIL is the main on-campus Laboratory for Computer Science and AI and is a research institute at the Massachusetts Institute of Technology (MIT). The research activities of CSAIL are organized around a number of semi-autonomous research groups, each led by one or more professors or research scientists. These classes are divided into seven broad research areas: AI, Computational biology, Graphics and vision, Language and learning, Theory of computing, Robotics, and Systems, which include computer design, databases, distributed systems, networks, and networked systems, as well as software engineering.


The UTCS AI-Lab discusses the core problems of computer cognition from both a theoretical and empirical, implementation-oriented standpoint. The Lab has grown to seven faculty members working in core areas of AI, as well as 50 Ph.D. students, a large research team, and a dozen affiliated faculty from other departments. It is still researching the challenges of machine cognition, especially machine learning, knowledge representation and reasoning, and robotics.



Microsoft Research AI is interested in using artificial intelligence in novel ways to empower people and organizations, such as systems that provide new interactions and capabilities that help people be more effective, engaged, and profitable. It brings together a diverse range of talent from Microsoft Research to produce ground-breaking developments in artificial intelligence. To address some of AI's challenges, this R&D project combines developments in machine learning with advancements in language and dialogue, human-computer interaction, and computer vision.


The AI Research Lab brings together UC Berkeley researchers from computer vision, machine learning, natural language processing (NLP), planning, control, and robotics. The Lab has over 50 faculty members and over 300 graduate students and postdoctoral researchers working on fundamental developments in the aforementioned fields as well as cross-cutting themes. Multi-modal deep learning, human-compatible AI, and integrating AI with other scientific disciplines and the humanities are examples of these.


The USC Information Sciences Institute is a global leader in advanced information processing, computer, and communications technology research and development. ISI is one of the nation's largest and most active university-affiliated computer research institutes. It is part of the University of Southern California's Viterbi School of Engineering. The work of the institution ranges from theoretical fundamental research, such as core engineering and computer science exploration, to applied R&D, such as the design and modeling of groundbreaking prototypes and devices.


The Fraunhofer Heinrich Hertz Institute (HHI) is one of the world's oldest artificial intelligence research laboratories, with a rich and groundbreaking 90-year history. The HHI, based in Berlin, Germany, investigates the impact of technological advances on our future, especially on how we communicate. The Machine Learning group at HHI focuses on deep learning science. Recently, this AI research institute has been focusing on testing 5G technology in Berlin.


The IBM Research lab, founded by one of the tech giants, is based in Ireland and aims to improve the outcomes for its clients while exploring potential areas of growth in the IoT domain, artificial intelligence, privacy, cloud, and so on.

Their latest work in Fluid Intelligence investigates the creation of AI that integrates various types of information and learns things on its own without feeding trained models massive quantities of new data, thus saving training time and effort to find new data each time. An associated organization, IBM AI Research, is also providing a toolkit to help recognize and eradicate bias in artificial intelligence.



The Department of Informatics at Britain's renowned King's College London offers undergraduate and postgraduate programs that investigate the theoretical and functional changes brought on by the growth of digital societies. The lab, which is divided into five "hubs" and different classes, performs research in fields ranging from Autonomous Systems to Artificial Intelligence.


One of its classes, Distributed Artificial Intelligence, studies the relationship and combination of artificial intelligence and society.


Facebook founded the FAIR community in 2013 to study and advance artificial intelligence technology through open research. FAIR has expanded to become a multinational research organization with laboratories spread out throughout regions such as Menlo Park, New York, Paris, Tel Aviv, and London in an attempt to understand the essence of intelligence in order to build better intelligent machines. AI has become such a core part of Facebook over the years that FAIR is now part of a wider Facebook AI organization that works on all aspects of AI R&D, from fundamental science to applied research and technology advancement.



DeepMind Lab is a one-of-a-kind AI research facility. It is a first-person 3D game platform designed for the research and development of general artificial intelligence and machine learning systems, according to DeepMind. This lab investigates how autonomous artificial agents can learn complex tasks in big, partially observed, and virtual worlds. DeepMind AI Lab has a simple and adaptable API that allows for innovative task design and novel AI design, which can be explored and updated. It is designed for the research community and is driven by a fast and widely used game engine.


AltaML, based in Canada, is an AL lab dedicated to human ability through the application of artificial intelligence. Their programs foster dynamic collaborations to include real-world application, data, mentorship, and AI talent incubation for companies seeking the right insight and AI integration. Teams are formed around industry-led initiatives and directed by machine learning mentors to develop working models that will change how people think about applied AI.



They study artificial intelligence to better understand the human brain as a research group at Kyungpook National University's School of Electronics Engineering in South Korea. They create new computer and deep learning algorithms that are inspired by the fundamental mechanisms of brain functions. They apply advanced machine learning and deep learning models to neurophysiological data recorded from the brain in order to understand natural language and improve diagnosis and treatment tools. Their most recent neuromodulation paper discusses how transcranial alternating current stimulation decreases network hypersynchrony and recurrent vertigo.


Baidu is an AI research lab with laboratories in Silicon Valley and Beijing that brings together top talent from around the world to concentrate on futuristic fundamental research in artificial intelligence. Data science and data processing, natural language and voice, business intelligence, robotics and autonomous driving, computer vision, machine learning, deep learning, and quantum computing are all areas of research for the company.


Tencent is a Chinese AI Lab that employs over 100 scientists from prestigious universities as well as over 300 professional engineers. Their research interests include computer vision, speech recognition, natural language processing, and machine learning. Tencent works with companies to develop content games, social networking platforms, and platform-based AI tools.


Since 1962, the Stanford Artificial Intelligence Laboratory (SAIL) has served as a research, teaching, theory, and practice base. SAIL is a vibrant and community-oriented lab that offers numerous opportunities for scientific collaboration and creativity. Committed to advancing awareness and fostering learning in an environment of exploration and innovation. The faculty performs world-class research in all fields of artificial intelligence, including robotics, machine learning, deep learning, natural language processing (NLP), vision and learning, genomics, healthcare, and social effects.



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To help their work, Newsmusk allows writers to use primary sources. White papers, government data, initial reporting, and interviews with industry experts are only a few examples. Where relevant, we also cite original research from other respected publishers.

Source - Analytics Insight

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