Samsung AI Center - Cambridge

The Samsung AI Center Cambridge is an ambitious and independent research centre targeting "Human-Centric AI" to enrich peoples’ lives using  upcoming AI technologies. 

To help power Samsung’s Corporate strategy for AI, the Cambridge AI Center is hiring diverse skills in research, engineering and design. It collaborates closely with universities to meet the research ambitions of universities and of Samsung. 

  • Nicholas Lane Head of Samsung AI Center - Cambridge VIEW MORE
  • Andrew Blake Leader of Samsung AI Center - Cambridge VIEW MORE

AI Center - Cambridge on May 22, 2018
When deep learning meets logic,
a virtual workshop on neurosymbolic AI
June 6 - June 8, 2022

2nd Samsung AI Workshop "When Deep Learning Meets Logic", June 6-8, 2022

The concept of integrating symbolic knowledge into neural models is not new: researchers have been speculating the potential of neurosymbolic AI since the mid-’60s. However, only in the last few years, scientists in different fields have realized its potential. Beginning with inductive logic programming and statistical relational learning, neurosymbolic integration has brought strong results in a multitude of applications ranging from computer vision and natural language processing to material science and biology. Beyond the advances in applied research, foundational research has recently provided us with new insights into the properties of neurosymbolic frameworks and brought us closer to unlocking the secrets for successfully integrating these two different computational paradigms.

In light of the recent progress in neurosymbolic AI, key questions are still awaiting answers: 

· To what extent do existing neurosymbolic techniques fulfill their goal of bringing together the best of both worlds? 
· Do existing neurosymbolic techniques provide us with the means to solve key problems in AI and if not, what are their main limitations?

The second Samsung AI virtual neurosymbolic workshop “When deep learning meets logic” aims to shed light on the above questions, hosting talks by key researchers in the areas of neuroscience, deep learning, logic, cognitive sciences, computer vision, language understanding, and robotics. Attendance will be free and open to the public, while QA sessions will allow the attendees to actively participate by providing comments or asking questions to the speakers.


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