British Computer Society: AI for One Health and Planetary Health

 BCS SPECIALIST GROUP ON ARTIFICIAL INTELLIGENCE (BCS SGAI)! 

AI for One Health and Planetary Health: Where Are We?

Friday November 8th 2024 - British Computer Society London Office (near Moorgate Underground)

Invitation to Register

http://www.bcs-sgai.org/health2024/

A full-day event with invited talks on the following topics:

• One Health and Planetary Health: the case for considering a unified health perspective
• Translational Diagnostics in Companion Animals
• Mixed AI approaches to surfacing information hidden in veterinary electronic health records
• Hands-on Tutorial: Low-Code/No-Code AI: Democratise AI for Text, Images, and Audio
• AI for One Health and Planetary Health: is there a generic framework?
• Low-Code/No-Code AI for Biomedical Image Classification: Visual Impairment as a case stud
• Low-Code/No-Code AI for Planetary Health: World Fisheries and Aquaculture as a case study

The  21st  century  brings  major  global  challenges,  including  climate  change  and  rapid  population  ageing, calling  for  transdisciplinary  involvement  of  diverse  sectors  and  stakeholders,  including  academics  and students, companies and societal organisations. One Health considers human health, animal health, and our shared  environment  as  parts  of  a  deeply  interconnected  system.  Our  environment  is  changing  and  it  is affecting  our  health.  Planetary  Health  emphasises  that  everything  is  connected:  "the  quality  of  the  air  we breathe and of the water we drink, the quality and quantity of food we produce, our exposure to infectious diseases, and even the habitability of the places where we live". Digitalisation is happening in both human and veterinary medicine. Human-AI collaboration can bring humans and AI together to gain more valuable insights  than  either  could  achieve  alone. The  event  comprises  a  number  of  talks  with  speakers  from  the Animal  and  Plant  Health  Agency  (APHA.gov.uk),  Veterinary  Health  Innovation  Engine  (vHive),  Small Animal  Veterinary  Surveillance  Network  (SAVSNET),  National  Health  Service  (NHS)  England,  and  UK universities.  

Low-code/no-code AI is on the rise with Large Language Models (LLMs) at its core, including multimodal LLMs that can produce content (text, image, video, or audio/speech) as output (generative AI). Come along to the hands-on tutorial if you are interested in content generation and content analysis of text, images and  audio  with  open-source  LLMs from  Google,  Facebook,  Microsoft  and  OpenAI  in  just  3  lines  of python  code  (low-code  AI)  and  LLM  prompting  (no  code  AI).  The  exercises  can  be  executed  in  1  to  5 minutes using Google Colab (free of charge for basic use and without setup to use).  

There will be Certificates of Attendance for those who register and attend the event.

We hope that you will come and join us, and that you enjoy this new offering from the BCS SGAI.

Full details are available at http://www.bcs-sgai.org/health2024/

Reduced delegate fees!!
The  delegate  fee  is  just  £50  plus  VAT  for  BCS  and  SGAI  members  and  £90  plus  VAT  for  others. This includes  attendance  at  the  event,  lunch  and  refreshments.  A  special  rate  of  £35  plus  VAT  is  available  for students. A Group Discount Rate is available for group bookings of three or more.

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To register for future mailings about SGAI events go to http://www.bcs-sgai.org/register/

Max Bramer
Chair BCS Specialist Group on Artificial Intelligence (bcs-sgai.org)