ai for research

Fourteen new AI research projects are underway to address the COVID-19 pandemic through CIFAR’s AI and COVID-19 Catalyst Grants initiative Learn more; Artificial Intelligence; Mar 24 / 20 Using AI to track cancer evolution Canada CIFAR AI Chair Quaid Morris uses machine learning to find patterns of mutations in tumours. Get meaning from massive amounts of information, remove unconscious human bias and get early market signals. The field of artificial intelligence (AI) experienced tremendous scientific advances in the last few years, from vast improvements in processing power and computational efficiency to new insights into object identification, language, and deep learning. The approach is mainly unsupervised but we utilize an evaluated annotation set from our community of AI Trainers for benchmarking and improving our tools. AI for Fintech Research (AFR) is a collaboration between ING and Delft University of Technology. They will also work with the ADF to apply any new artificial intelligence capabilities to the new Star Shots strategy where possible. The mission of AFR is to perform world-class research at the intersection of Artificial Intelligence, Data Analytics, and Software Analytics in the context of FinTech. We believe AI will transform the world in dramatic ways in the coming years – and we’re advancing the field through our portfolio of research focused on three areas: towards human-level intelligence, platform for business, and hardware and the physics of AI. uses a combination of keyword extraction, word embeddings, neural topic modeling, word importance based similarity of document metrics and hierarchical topic modeling. NIST’s AI research efforts can be broken down into two categories: Foundational and Applied Research. Get meaning from massive amounts of information, remove unconscious human bias and get early market signals. This research is supported by the National Research Foundation, Singapore under its AI Singapore Programme (AISG-RP-2019-050). AI is an opportunity, not a threat to market research. Applied Research to Deploy AI for NIST Research This area focuses on advancing application of AI to NIST metrology problems and enabling NIST scientists to draw routinely on machine learning and AI tools to gain deeper insight into their research. IBM Research AI plans to showcase more than a dozen papers at ICLR 2020 covering a diversity of topics including breakthroughs in ways of infusing common sense into AI, securing machine learning from adversarial attacks and maintaining precision of inferencing while reducing energy use.

Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore. IBM Research has been exploring artificial intelligence and machine learning technologies and techniques for decades.

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