3 Oct 2022| O-Founders
Top Artificial Intelligence Research Labs
Artificial intelligence is repeatedly evolving and propagating across every industry.
With much of the ground-breaking creations moving the industry forward, this technology is continuously making headlines every day.
AI refers to software or systems that execute intelligent tasks like those of human brains, such as
The application ranges from automation and translation systems for natural language processing that people use daily to image recognition systems to identify faces and letters from images.
Today, Artificial Intelligence is used in different forms, including digital assistants, chatbots, and machine learning.
How startups adopting artificial intelligence
Here are the top 10 AI Research Labs leading the research and development in AI and related technologies:
The Alan Turing Research Lab
The Alan Turing Research is the national lab for data science and AI headquartered in British Library, London. This research institute was started in the year 2015. In 2017, with government recommendation, added AI to its remittance.
It comprises 13 universities with UK engineering and Physical Science Research Council, making the UK the best place for data science and AI research, collaboration, and businesses.
This lab has recently focused on exploring the most complicated values in using AI algorithms and data analytics for police forces’ predictive purpose.
Imaging, Vision and Artificial Intelligence Research Lab (LIVIA)
LIVIA is a research group accredited by ETS, which brings together several professors, associate members, and graduate students. The laboratory’s scientific orientation revolves around the critical foundation of large-scale processing, analysis, and image and video interpretations.
LIVIA’s Research and Development tasks are based on six main conceptual axes and their main fields of application:
AI Research Lab for J.P. Morgan
J.P. Morgan’s AI Research Lab is based in New York and present in critical hubs worldwide. This AI research program aims to explore and sophisticated leading-edge research in Artificial Intelligence and Machine Learning technologies, including relevant applications such as cryptography, in developing a highly effective solution to the firms of different clients and businesses. This firm’s AI team includes professionals in various technologies of AI. It pursues its primary research in the areas relative to their research pillars and concrete problems related to financial services.
Oxford Machine Learning Research Lab
The Machine Learning Research Lab from the University of Oxford comprises like-minded research groups led by local researchers.
It is a sub-group of the Information Engineering in the Department of Engineering Science of Oxford University. It is one of the core groupings that make up the broader Oxford Machine Learning community with exceptional and substantial overlap with the Oxford-Man Research Lab of Quantitative Finances.
The Oxford Machine Learning Research Group uses statistics that handles both information and uncertainty in various research technologies, including citizen science, biology, public health, autonomous intelligent systems, and animal husbandry.
Elkan Research Lab
Elkan Research Lab is an AI research from India. It was founded in 2017, with a mindset to tackle real-world issues.
The research lab has impressive experience in developing Artificial Intelligence and Advanced.
Analytics solutions that provide to various industry needs.
Its three primary service lines including
Ø Artificial Intelligence Chabot development
Ø Advanced-Data Analytics solutions
Ø Business Automation solutions supported by Computer Vision, Machine Learning, Deep Learning, and NLP solutions.
Artificial Intelligence Research Lab for MIT Computer Science
A research lab from Massachusetts Institute of Technology (MIT), CSAIL, is the largest on-campus Laboratory for Computer Science and AI. CSAIL’s research activities are organized around several semi-autonomous research groups, each of which is headed by one or more professors or research scientists.
These groups are divided into seven general research areas:
UTCS AI-Lab – University of Texas Research Lab
UTCS AI-Lab addresses machine cognition’s central challenges from a theoretical and an empirical, implement-type outlook. This research lab has extended to seven faculties from core Artificial Intelligence areas, with about 50 research scholars, numerous research staff, and a dozen affiliated faculty in related departments. It investigates machine cognition challenges, especially machine learning, knowledge representation and reasoning, and robotics.
Microsoft-AI Research Lab
Microsoft Research AI pursues the use of machine intelligence in new ways to empower people and companies, including systems that deliver new challenges and standards that assist users to be most reliable, engaging, and highly productive.
It brings together the range of expertise across Microsoft Research that delivers ground-breaking advancements in Artificial Intelligence. This R&D initiates combine developments in machine learning with new revolutions in languages and dialogs by human-computer interaction and computer vision to solve some of the AI challenges.
AI Research Lab from Berkeley
This AI Research Lab brings together UC Berkeley researchers covering:
This lab consists of fifty professors, three-hundreds of above graduates, and post-doctoral research scholars performing their researches on fundamental explorations in the above fields and cross-cutting themes.
These include multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities.
AI Research Lab for USC Information Sciences
USC Information Sciences research lab provides research and development with a world-class leadership on
Advanced information processing
It is a unit of the University of Southern California’s Viterbi School of Engineering, and ISI is one of the nation’s largest, most successful university-affiliated computer research institutes.
These researchers’ work ranges from basic theoretical research such as core engineering and computer science discoveries, applied to Research and Development such as design and modeling of innovative prototypes and devices.
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