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We work on some of the most complex and interesting challenges in AI. Our world-class research has resulted in hundreds of peer-reviewed papers, including in Nature and Science.

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Computer vision

75%

Language processing

68%

Data analysis

87%

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  • Theory and foundations
  • Unsupervised learning and generative models
  • Neuroscience
  • Deep learning
  • Control and robotics
  • Reinforcement learning & safety
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Machine learning & AI in Computer vision

Scientific field that deals with how computers can gain high-level understanding from digital images or videos

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.

Machine learning & AI in Language Processing

Artificial intelligence concerned with the interactions between computers and human languages

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.

Machine learning & AI in Data analysis

Process of inspecting, cleansing, transforming & modeling data with the goal of discovering useful information

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.

Our mission is to bring the benefits of state-of-the-art machine learning and artificial intelligence to the medical industry & thus bringing about a better tomorrow.

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