US Corporations with Overseas Research Centers

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Overseas Research Centers: IBM

IBM has 12 research labs around the world. The labs are located in Africa, Almaden, Australia, India, China, Tokyo, Brazil, Cambridge, Haifa, Ireland, Zurich, and the IBM Thomas J. Watson Research Center.


  • IBM has 19 research facilities across 12 laboratories on 6 continents.
  • These research facilities primarily are focused on Accessibility, Artificial Intelligence, Blockchain, Cloud Computing, Internet of Things, Semiconductors, Quantum Computing, Energy and Environment, Financial Services, Healthcare and Life Sciences, Science for Social Good research areas.



  • The research lab is IBM’s 12th global research center and the first industrialized research facility in Africa. The IBM research center in Africa is located in 2 countries, Kenya and South Africa.
  • The labs are focused in areas such as water, agriculture, transportation, healthcare, financial inclusion, education, energy, security and e-government.
  • IBM Research Africa is actively engaging with Africa’s innovation ecosystem to kick start new business opportunities and ensure the full commercial viability of its solutions and services.


  • Almaden IBM research lab is IBM’s Silicon Valley innovation lab. The lab is focused on research on artificial intelligence, healthcare and life sciences, quantum computing, blockchain, storage, Internet of Things and accessibility.
  • The first homogeneous distributed relational database and a distributed database for different data types and stores was built in the lab.
  • The first data mining algorithms and innovations in data storage technology and the ability to position individual atoms was achieved through the lab.


  • IBM Research Australia is a research and development lab that opened in 2011 in Australia.
  • The lab work with clients to understand their business challenges, innovation opportunities, and how solutions can be applied in the marketplace.
  • The lab is focused on conceiving, designing and building next-generation systems that to reconstruct health and life sciences, analytics, resource management, and financial services.
  • The lab conducted a study where they used a machine learning approach to identify sets of proteins in the blood that are predictive of a biomarker in spinal fluid. The research was the first of its kind in testing for Alzheimer’s disease.
  • The research lab was the first to demonstrate the control of prosthetic limbs with thought and artificial intelligence.


  • The IBM research lab in Brazil is located in Sao Paulo and Rio de Janeiro; the lab was established in June 2010.
  • The Brazil research lab is focused on applying artificial intelligence, nanotechnology, and visual analytics, as well as Internet-of-things solutions and cloud services, to better manage natural resources such as oil and gas.
  • Scientists at IBM Brazil research lab discovered that nanoscale oil droplet looks more like a flat film against a solid surface. The lab is developing nanoscience-enhanced oil flow simulations that could better-predict oil extraction from a reservoir.
  • AgroPad was developed at the lab to help farmers better manage crops and more efficiently bring fresh produce to our tables.


  • The Cambridge research lab focuses on designing, inventing and building next-generation artificial intelligence, and creating AI to transform healthcare, ageing and accessibility, cybersecurity.
  • The lab is co-located with the Watson Health and IBM Cybersecurity headquarters in Cambridge, Massachusetts


  • The research lab is focused on developing industry solutions, artificial intelligence capabilities, cloud, Internet-of-Things and blockchain technologies.
  • The lab engages in cross-industry partnerships that help organizations differentiate themselves through innovation.
  • IBM Research-China is spearheading Horizons, a global initiative to enable governments, utility companies and factories to understand better and improve their relationships with the environment and to help tackle pressing issues related to air pollution and climate change.
  • IBM Research China developed the world’s first blockchain-based green asset management platform using hyperledger fabric on the IBM Cloud.


  • IBM Research Haifa was founded in 1972 as a small scientific center; presently, it is the largest lab of IBM Research Division outside of the United States.
  • The lab focuses on artificial intelligence, cloud data services, healthcare informatics, and image and video analytics, mobile, security and quality.
  • The lab published research in radiology on a new AI model that can predict the development of malignant breast cancer in patients. The model was the first algorithm of its kind to learn and make decisions from both imaging data and a comprehensive patient’s health history.
  • IBM Haifa research lab created the IBM Virtual Voice Creator that automatically creates a voiceover for a multi-character game, animation or educational video, without the need of hiring voice actors and audio recording studios.


  • IBM Research Ireland focuses on developing solutions in areas like IoT, artificial intelligence security, privacy, healthcare, and cloud.
  • The lab tests new technologies on real business problems, discover new growth opportunities and contributes to the success of IBM platforms and solutions.
  • IBM Research Ireland was among the first awardees of the Irish Disruptive Technology Innovation Fund on designing biophysics inspired AI to use photons to help surgeons identify cancer.
  • The lab developed a cloud-based platform within the framework of ProACT called InterACT.


  • The lab is located in New Delhi and Bengaluru, India and was founded in 1998.
  • The lab is focused on the application of blockchain, cognitive IoT platforms and solutions, data security and compliance, deep learning algorithms, infrastructure, dialogue and conversational systems, education, fashion, financial services, and industrial and manufacturing
  • IBM Research India built a suite of agribusiness tools and solutions to help the agriculture industry use the power of AI to make more informed decisions about their crops.
  • The lab developed a dialogue-based intelligent tutor to support learning across domains and age-groups and a teaching tool which uses predictive analytics on longitudinal student data.


  • IBM Research Tokyo focuses on innovations that use cognitive computing to solve social and industry problems through expertise in cognitive device technologies, text analytics and mathematical science technologies.
  • The lab was founded in 1982 and has 2 facilities in Tokyo and Shin-Kawasaki.
  • The team at Toyko Research built a platform called Augmented Live Communication Platform for real-time communication among people located in remote locations.


  • IBM Research Zurich was established in 1956 as the first European branch of IBM Research.
  • The lab research areas are focused on cloud & computing infrastructure, science & technology, cognitive computing, industry solutions.
  • The lab developed the world’s first quantum computing safe tape.
  • The lab developed PaccMann; a multimodal deep learning solution that uses data from disparate sources to help predict how cells in diseased tissue will respond to a given drug.
  • A tool called INtERAcT, to automate knowledge extraction from scientific publications was also developed at the research lab.


  • The Thomas J. Watson Research Center serves as the headquarters of IBM Research, one of the largest industrial research organizations in the world.
  • The lab is focused on providing scientific breakthroughs across disruptive technologies, including the future of artificial intelligence, blockchain and quantum computing.
  • Scientists at the lab developed a new approach to simulate molecules on a quantum computer that may one day help revolutionize chemistry and materials science.
  • IBM research developed a new distributed deep learning software which achieved record communication overhead and 95% scaling efficiency on the Caffe deep learning framework over 256 NVIDIA GPUs in 64 IBM Power systems.

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Overseas Research Centers: Microsoft

Microsoft has 10 research labs located in the U.S., China, Canada, UK, and India. Information on the labs in India, China and Canada have been summarized below.


  • Microsoft research labs are focused on research in areas like algorithms, mathematics, medical, genomics, technology for emerging markets, and mathematics.
  • Harry Shum is the executive vice president, Microsoft Artificial Intelligence and Research Group
  • Contact:
  • There are a total of 10 Microsoft research labs, only two of which are overseas. There is also one located in Montreal, which has been summarized below as well.


  • Microsoft Research India focuses on areas like algorithms, machine learning, natural language systems & applications, cloud & artificial intelligence, and technology for emerging markets.
  • The research team colludes with academia, non-government organizations and startups. They also partake in training researchers and technologists.
  • The lab developed 99DOTS, a technology-enabled project focusing on medication adherence for anti-Tuberculosis drugs.
  • The team also built Froid, an extensible framework for optimizing imperative programs in relational databases.


  • Microsoft Research Asia is Microsoft's largest research institute outside the United States. The lab was established in 1998 in Beijing.
  • SRA has grown into a world-class research lab, conducting both basic and applied research with over 200 scientists and more than 300 visiting scholars and students.
  • MSRA is committed to exploring broad and deep engagement with academic centers and industry partners to foster collaboration, cultivate innovation, boost education, and turn ideas into reality.


  • The lab is located in Montreal, was founded in 2015 as Maluuba, and acquired by Microsoft in 2017. The Montreal lab is Microsoft's largest natural language processing lab.
  • The lab promotes open collaborations with stakeholders in industry and academic institutions in Montreal and around the world.
  • The Montreal Research lab focuses on machine reading comprehension, dialogue and reinforcement learning.
  • The lab built an interactive demo that showcases the question-answering technology developed using Machine Reading Comprehension (MRC).
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Overseas Research Centers: Oracle

Oracle labs are focused on identifying, exploring, and transferring new technologies that have the potential to improve Oracle's business substantially. The company currently has 9 research labs.




  • The research lab is located in North Austin near the Riata Corporate Park.
  • Oracle Labs Austin research is focused on computer architecture and performance analysis.
  • The center's current research is focused on cloud computing, especially appropriate machine learning architectures for the Oracle Cloud.
  • The research lab built and used detailed, cycle-accurate models as well as high-level abstract models to understand the performance effects of architectural design decisions.



  • The Oracle Switzerland Lab was established in 2014 and is located in the Prime Tower in Zurich.
  • The lab is focused on researches covering programming languages, databases, large scale data processing, graph analytics, machine learning and cloud technologies.
  • The lab is currently working on various projects like The Keybridge project which investigates the decomposition of application logic for execution on integrated heterogeneous systems including systems on a NIC with the inclusion of a set of domain-specific languages.
  • Other projects ongoing at the lab include GraalVM, KeyBridge, Project RAPID, and Walnut


  • Oracle Labs Vancouver was established in 2013 and is located on the prestigious Burrard street in downtown Vancouver.
  • The research team at the lab is focused on many aspects of project RAPID, including database and query processing, systems software and networking.
  • Currently, they are working on the Project RAPID project. Project RAPID is a hardware-software co-design project targeting large-scale data management and analysis.


  • Oracle Australia Lab research is focused on improving the security of software and the productivity of developers. The lab research and develop new techniques in program analysis.
  • The Oracle Parfait bug checker was developed at the lab. Oracle's internal teams use the Parfait project as a research framework, to experiment with new general analyses such as points-to, analyses for new bug types, as well as new languages.
  • On its current project, Frappe project; the lab seems to improve the productivity of software developers with our work on analyzing the impact of code changes in large codebases.


  • Oracle Labs East is located in Burlington, Massachusetts; the former Sun Microsystems Network Drive campus.
  • The lab is located near Boston Rt 128 area's which is a high tech corridor and affords easy access to some of the world's leading universities and research centers.
  • The research team at the labs are currently researching information retrieval and machine learning, scalable synchronization, and programming languages.



  • The Oracle UK Lab research areas include data science, the design and implementation of the Java programming language, machine learning frameworks for probabilistic programming, dynamic language implementation, optimization, debugging, and tooling, for languages such as JavaScript, Ruby, Python, using techniques such as specialization and just-in-time compilation.
  • Oracle Labs UK is located in Cambridge, UK.

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Overseas Research Centers: Cisco

Cisco Research Center (CRC) connects researchers and developers from Cisco, academia, governments, customers, and industry partners to facilitate collaboration and exploration of new and promising technologies. The research centers are focused on networking, security, programmable networks, internet economic models & policy impact, software radios, advanced memory technologies.


  • Cisco research facilities are located in Brazil, Canada, Germany, Spain, Japan, South Korea, and Australia. The company has 6 innovation centers dedicated to research. 
  • Kristen Wright is the director of Cisco Research & Open Innovation.
  • Contact: (408) 526-4000


  • The PIRL was established in 2015 and is the research and innovation laboratory of Cisco France.
  • The Paris Innovation & Research Lab fosters research and innovation across Cisco, global research centers, universities, and start-up incubators at the center of the "Innovation Center" strategy in France.
  • The lab areas and topics and areas of focus include IPv6 Centric Networking as a platform for innovation, NDN, DC Virtualization/NFV, Big Data, Video, IoE, cybersecurity, AI.


  • Cisco Innovation Center Tokyo helps local and global organisations improve business outcomes.
  • The center carries out research and investments in local resources, including companies and people, engage rapid solution and product prototyping, and use IoT to solve business and public sector problems.
  • Cisco Innovation Center Tokyo demonstrates IoE in action for the manufacturing and public sector in collaboration with local eco-partners.


  • Mi-IDEA is an innovation centre located at the heart of Manchester Science Park, where start-ups can grow in confidence and capability, scaling from promising tech to sustainable business.
  • The center acts as a co-innovation hub for trailblazing applied research, collaborating with partners, start-ups, universities and government research institutions.
  • The center is focused on finding innovative technology-based solutions to some of the most pressing real-world challenges of today.


  • The center is focused on accelerating business growth and social good in the digital era, together with Cisco's ecosystem.
  • The center aims to foster local and global innovation by investing and partnering with government, start-ups, entrepreneurs, universities and researchers.
  • Provide access to a global network to scale ideas, customer innovation rooms, physical and virtual laboratories for proof-of-concept development, experimentation, educate, mentor and develop talent in Spain around innovation best practices.


  • The Innovation Central Perth (ICP) is located in Curtin University and is an industry, and research-based collaboration center focused on advancing digital transformation through an open innovation ecosystem.
  • One of the goals of the center is to connect people with technology solutions, subject-matter experts, research expertise and intellectual property to deliver bold solutions that disrupt and progress industries.
  • Cisco leads the center with partners Curtin University, Woodside and CSIRO's Data61 and comprises several programs that help collaborators identify, test, conduct a comparative analysis and deploy innovative technology solutions using cloud computing, analytics and IoT network platforms.


  • The center is focused on areas like cloud, analytics and Internet of Things (IoT) network platforms.
  • The center aims to create an environment that accelerates collaboration between small-to-medium enterprises, industry experts and researchers; where they can develop original and inventive solutions through rapid prototyping and proofs-of-concept to solve real business problems.
  • In partnership with UNSW and Cisco, the center is currently working on a mobility-as-a-Service platform to provide greater flexibility for commuters with travel options that suit individual needs and provide a seamless experience.
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Overseas Research Centers: Google

Google's research efforts are aimed at solving world problems with the help of advanced technology (deep learning, artificial intelligence, machine learning), its research teams located across the globe, collaborate with academic institutions, startups, government organizations. Google has seven overseas research facilities and R&D centers, and it has three overseas research teams, which work through an open-source code. The overseas research teams do not have physical research facilities/labs in their respective locations (London, Amsterdam, and Tokyo).

Berlin Research Facility

  • The research facility operating in Berlin conducts research across two diverse fields; deep learning and machine learning.
  • Berlin's research team collaborates with the oogle brain team and Alphabet's other functional research teams; their primary research focus includes fundamental concepts related to artificial intelligence and their application across various industry types. The Berlin team works on several innovative topics such as foundational and applied sciences.
  • The research facility has been collaborating with "Berlin’s vibrant academic and startup communities" for creating data solutions for the industry.
  • The research facility has also hosted multiple workshops, facilitating a platform for researchers to offer solutions to problems like paraphrase identification of questions or fast decoding in sequence models.

Israel Research Facility

  • Israel research facility tackles innovation projects centered around machine learning, AI innovation, natural language. The research teams also work on the foundation elements of machine learning, including "reinforcement learning and deep networks acceleration."
  • Several existing projects at the facility are related to TensorFlow innovation, Duplex, flood forecasting, and natural language understanding. The research facility also engages the AI research teams located in Tel Aviv and Haifa.
  • The research facility collaborates with some of the most renowned academic institutions and startup entities, the facility has collaborated with Tel Aviv University and has partnered with Yad Vashem.

Munich Research Facility

  • Munich's research facility conducts research in fields like "cloud robotics, simultaneous localization and mapping, spatial and objects intelligence, and manipulation".
  • The research facility works with "mapping and navigation concepts, including laser/visual odometry." The facility also tackles research and development projects in the field of algorithms, market optimization, and graph analysis; these projects helps in solving crucial business challenges at Google.
  • The Munich research facility collaborates with top academic research institutions within Germany, and it also works with the startup community in the areas of robotics and automation, to offer solutions to businesses of all sizes to excel with data automation.

Paris Research Facility

  • The Paris team works across a variety of scientific disciplines; "computer science and mathematics, they primarily focus on machine learning and AI—from algorithmic foundations and theoretical underpinnings of deep learning to operations research, mathematical programming, reinforcement learning, natural language processing, machine perception, data compression, and computational biology."
  • The team also collaborates with the Google Brain team to handle product-innovation studies.

Zurich Research Facility

  • The research facility in Zurich conducts research in the field of distributed systems and parallel computing to create innovative technologies that have "distributed optimization, data mining, and data-driven optimization" capabilities.
  • Other project disciplines include speech processing, machine intelligence, natural language processing, and data management.
  • Previous projects on algorithmic foundations and reinforcement learning, showcase an impressive profile of the research facility. Additionally, large scale studies have been conducted in the facility; for instance, the study about the creation of GANs.

Beijing Research Facility

  • Google's AI research facility in China offers AI solutions for K-12 and university education; their Beijing team has been researching about "natural language understanding and market algorithms, and user experience".
  • The teams are also conducting developmental research to offer upgrades to TensorFlow, which is a globally available application.
  • The Google office in Beijing has multiple AI research teams, who work through an open source research model. Their primary focus is on improving the teaching and learning experiences to people with the help of AI technology. They have collaborated and partnered with a number of academic institutions, and it is also partnering with the Chinese government for testing these technologies.
  • The research facility provides funding for AI conferences and workshops to attract more and more talent from the Chinese AI research community.

Accra Research Facility

  • Google has recently opened an AI research lab in Accra, Ghana.
  • Moustapha Cisse is heading the research team in Africa, and this is the very first research facility in the continent.

Contact Details

Director of Research, Google

Head of the Google R&D Center, Israel

  • Yossi Matias heads the Google AI research center in Israel.
  • Email:
  • His Linkedin profile can be found here.

Head of Google AI Center, Accra

Senior Research Program Manager (EMEA)

  • Anna Ukhanova is the senior research program manager and the technical head of the EMEA research division of Google.
  • Her Linkedin profile can be found here.

Research Methodology

The list of the labs was found precompiled on the Google AI website. In order to provide details of Google's overseas research facilities, we searched the official website of Google AI research, which provided most of the information about the research facilities. However, for some listed research facilities (London, Amsterdam, and Tokyo), there was no information provided, but the tech giant is hiring in these locations. To gain more insights, we searched through media portals like Forbes, CNN, and others. We found a news article about the research activities of Google in Tokyo; this article stated that while google was hiring research professionals in locations like Tokyo, there are no physical research labs or research facilities offered to these people. These people work through an open-source model; this helps the company to utilize the versatile talent pool, even in locations where it does not have a research facility. We also tried searching through databases like AI Directory to search for labs in the listed locations, while we found some labs. None of them had any relation with Google, and they were all owned by individual companies.

Accra is also listed as a research facility on the Google AI website. However, no information is provided for this research facility. We conducted a media scan to find any mentions about the research facility in Accra, Ghana. There were several news sources, which had reported that the company recently opened a research and development facility in Accra, Ghana, but Google has not revealed any further information about the facility. Since most of Google's individual research teams partner with Alphabet's Deep Mind, we searched through their website, to find any mentions about the facility. Unfortunately, no information about the Accra facility was found. We also searched for any project portfolios, official announcements by the head of the center, Moustapha Cisse. For this, we searched the google project portfolios database; the google database had no mentions about the Accra facility. The lack of publicly available information about the facility might be related to the fact that it was opened in April 2019, and it might not have had enough developments to showcase.

We have provided contact information for the head of research operations. To search for contact information of people who head Google's research facilities, we utilized resources like Hunter and RocketReach, but we couldn't find verified contact information for Anna Ukhanova and Moustapha Cisse. We also attempted to confirm if they had any personal websites; however, none were found. Since contact details were not available, we have provided the link to the Linkedin profiles.

Google only provides collective information about the projects that have been conducted at Google AI research, and the company has not disclosed information for individual research labs. Due to the lack of information on the capabilities of individual research units, we have used an archived source from the google directory, to provide an example of a collaboration between the Israel facility and the University of Tel Aviv.


From Part 01
From Part 05
  • "Google’s AI activities in China are focused on K-12 and university education, research on natural language understanding and market algorithms, user experience, and development of our globally available tools such as TensorFlow."
  • "In our office in Beijing, we collaborate across multiple Google teams, supporting the developer and AI research community through open source tools and workshops and partnering with academic institutions on educational initiatives and AI for social good."
  • "Our teams in Munich aim to provide businesses of all sizes the ability to unlock the power of their own data through AI and automation. We focus on cloud robotics, simultaneous localization and mapping, spatial and object intelligence, and manipulation. We collaborate closely with top academic research institutions within Germany as well as engage with a thriving start-up community in the areas of robotics and automation."
  • "We work on machine learning, and deep learning in particular. From foundational research to applications of AI involving language, images and video. In Berlin, our teams work on a range of topics from foundational to more applied and involve data comprised of text, images, video, audio and more. We are engaging and collaborating closely with Berlin’s vibrant academic and startup communities."
  • "We work on machine learning, natural language understanding and machine perception, from foundational research to AI innovations, in search, healthcare, and crisis response. Our team in Tel Aviv and Haifa works on problems across computer science, including machine learning, natural language understanding and machine perception. We tackle challenges from foundational research to AI innovations in search, healthcare, and crisis response. We collaborate closely with a strong academic community and a thriving startup ecosystem."
  • "We tackle big challenges across several fields at the intersection of computer science, statistics and applied mathematics while collaborating closely with a strong academic community."
  • "Our Paris team covers a variety of areas within computer science and mathematics with a strong focus on machine learning and AI—from algorithmic foundations and theoretical underpinnings of deep learning to operations research, mathematical programming, reinforcement learning, natural language processing, machine perception, data compression and computational biology."
  • "We solve big challenges in computer science, with a focus on machine learning, natural language understanding, machine perception, algorithms and data compression."
  • "Our teams in Zürich have concentrations in theoretical and application aspects of computer science with a strong focus on machine learning and AI—from algorithmic foundations and theoretical underpinnings of deep learning to natural language understanding and machine perception."
  • "Google now wants to position itself as an "AI first" company and with research centers across the globe in places such as Tokyo, Zurich, New York, and Paris. And last week, the technology company opened its first center in Africa in Ghana's capital city, Accra."
  • "AI can be applied in sectors such as agriculture, health, and education, and Moustapha Cisse, the research scientist heading up Google's AI efforts in Africa, says his team's goal is to provide developers with the necessary research needed to build products that can solve problems that Africa faces today."
  • "Google Brain, the research team within the tech giant that focuses on artificial intelligence (AI), is settling a team in Amsterdam, AI researcher Nal Kalchbrenner announced on Twitter. The team will work on "core AI challenges", he said."
  • "The Amsterdam team will not have their own offices, instead they will work from the Google office on Zuidas, a spokesperson said according to "In general, the main reason for our choice of AI research locations is the availability of talents who already live in the area or find it attractive to go there", the spokesperson said. "Apart from that, it is the usual factors, such as the strength of the local academic institutions, a business environment and good transport infrastructure."
  • "Google Chief of AI division and Head of Google Brain Jeff Dean tweeted, Happy to see our #GoogleAI efforts expanding with Google Brain now having a research presence in Tokyo."
  • "Peter Norvig is a Director of Research at Google Inc; previously he directed Google's core search algorithms group."
  • "Yossi Matias is Vice President, Engineering, at Google, and is the Head of the Google R&D Center in Israel which he established."
  • "Besides publishing its own work, the Google AI China Center will also support the AI research community by funding and sponsoring AI conferences and workshops, and working closely with the vibrant Chinese AI research community"