Impactful AI - 4th Meetup
Details
In this meetup series, we want to inspire everyone to use or implement Machine Learning and AI not only to serve great causes but also to have a demonstrable positive impact on society. We’ll be talking about how we can use AI to do just that, through applying it to health, education, democracy, nutrition and more, but also how we can technically implement that while ensuring what we build is ethical.
Please register on Eventbrite to be sure to secure a spot!
https://www.eventbrite.com/e/81305792815
Our speakers will be:
Zoe Osorio, Machine Learning Engineer @ IBM
> Cutting-edge AI for Healthcare
Abstract: Healthcare is one of the most challenging spaces in which artificial intelligence operates. Medical machine learning solutions are highly regulated, require the most personal of data and have literal life-and-death consequences.
Based on conversations with researchers, partners, and clients, this talk will explore the way in which cutting edge machine learning techniques are facing these challenges and being deployed effectively and ethically; capturing the expertise of healthcare practitioners, mining and processing data for new insights, and even synthesizing useable medical image data.
Darsh Kodwani, Data Scientist @ EcoSync
> AI to reduce energy waste
EcoSync is a multi-award winning spin-out/start-up company of Oxford University, developing a smart heating system combining artificial intelligence with MIT technologies - applied to real buildings. By applying cutting edge statistical and ML techniques we have shown that the energy consumption and CO2 emissions of buildings can be reduced by over 60%. In this talk we describe some of the technical challenges and how we overcome them.
Woochan Hwang Co-Founder @ Affect.AI
> Personalizing depression care with robust monitoring through vocal biomarkers
Abstract: Depression affects 19.7% of UK adults and 300 million people worldwide. However, it will often take months to over a year to find the appropriate treatment option. One of the main obstacles for improvement is the heterogeneity of depression and the lack of objective measurements.
To solve this problem, Affect.AI is developing a personalized, speech-based deep learning algorithm to provide frequent and reliable severity assessment. Using audio recordings as a digital biomarker offers unique advantages including objectivity and the ability to sample data more continuously in a natural environment (i.e. outside of clinics). Robust monitoring will provide the foundation for measurement-based care and allow for earlier diagnosis, personalized management, and improved patient self-awareness. We will discuss how clinical depression monitoring is different from emotion recognition tasks, and the additional ethical/workflow challenges that arise because of the clinical nature of the problem.
Location: Farfetch, Old Street
18:00 - 19:00 Networking and drinks
19:00 - 20:00 Talks followed by Q&As
20:00 - 21:00 Networking, drinks, and pizza !
Who we are
At Logikk we engage exceptional humans for companies looking to unlock the potential of their data.
We believe people are at the centre of what we do, and we have taken that belief a step further by creating a community of data and machine learning professionals to enable networking, knowledge-sharing, and ideas spreading.
Find us here:
https://www.logikk.com/community/
Co-hosted with Farfetch
With our IPO in 2018 and recent acquisitions of CuriosityChina, Stadium Goods and New Guards Group, it’s never been a more exciting time to join the business. As a fast-growing fashion e-commerce business and a top tech fashion company, harnessing the value of the data generated by our activities is key to Farfetch’s future success.
We solve complex problems with carefully defined approaches backed by data and get to see the outcome of the implemented solutions impacting hundreds of employees and millions of customers.
Impactful AI - 4th Meetup