Explore the list of top AI research labs leading R&D in the field of AI.
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 include digital assistants, chatbots and machine learning, among others.
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. Comprised of 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 Turning Institute shifted its focus to exploring the complicated ethics in the use of AI algorithms and data analytics for predictive purposes by police forces.
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’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.
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 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.
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 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 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.
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. Those include multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities.
USC Information Sciences Institute is a world leader in 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.