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Cambridge Language Sciences

Interdisciplinary Research Centre
 

Thursday, 19 October 2023, 12.30pm to 2.00pm

You are invited to the ‘Commercialisation of AI for University Researchers' event, hosted by Cambridge Enterprise and Cambridge Centre for Data-Driven Discovery (C2D3). 

Are you developing AI and ML as part of your research? Perhaps you’ve created a new software tool, platform or dataset which could be useful to beneficiaries or organisations outside of academic research? Maybe you’re interested in spinning out your discoveries?  

Cambridge Enterprise shall be hosting this lunchtime talk to help researchers understand what support is available to them, providing practical advice on commercialisation as a route to real-world impact. The session will cover some of the basics of software licensing, patentability of AI/ML solutions and look at the support available for those wishing to form their own start-ups or social enterprises.  

The webinar will include: 

  • Software commercialisation as a pathway to impact, why do it? with Emma Salgard Cunha 
  • Is my AI patentable and if so, is it a good idea to do so? with Parminder Lally from Appleyard Lees 
  • What happens when you contact CE with an idea? with Terry Parlett 
  • What can the Seed Funds team at CE help with? with Desmond Cheung 
  • My experience in spinning out my AI research, with Sebastian Pattinson from Matta  

Webinar details: 

  • Date: Thursday 19 October 
  • Time: 12:30 – 14:00 
  • Platform: Microsoft Teams   

Audience: 

University of Cambridge Staff and Students Only 

Register here

Date: 
Thursday, 19 October, 2023 - 12:30 to 14:00
Event location: 
Microsoft Teams   

What we do

Cambridge Language Sciences is an Interdisciplinary Research Centre at the University of Cambridge. Our virtual network connects researchers from five schools across the university as well as other world-leading research institutions. Our aim is to strengthen research collaborations and knowledge transfer across disciplines in order to address large-scale multi-disciplinary research challenges relating to language research.

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