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

  •  Learning
  •  Reasoning
  • Judgment.

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:

  1. Machine learning
  2. Computer vision
  3. Pattern recognition
  4. Adaptive and intelligent systems
  5. Information fusion
  6. Optimizing Complex system.

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: 

  • AI
  • Computational biology
  • Graphics and vision
  • Language and learning
  • Theory of computation
  • Robotics systems include computer
    architecture, databases, distributed systems, networks, networked systems, and
    software engineering.

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:

Computer vision
Machine Learning
NLP
Planning
Control
Robotics Applications

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
Computer
Communication applications

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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