Impactful AI - 2nd Meetup

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.

Our speakers will be:

Ben Gilburt, AI Ethics Lead at @ Sopra Steria
> What I learned using GPT-2 to write a novel'

Abstract: In February 2019 OpenAI announced a limited release of a text generation AI, GPT-2, listing concerns from fake news to impersonation as reasons to withhold the full model. Using a very limited version of the model, I experienced first hand how society can react in a negative way to this technology.

Panagiotis Sidiropoulos, Lead Data Scientist @ Hummingbird Technologies
> AI in remote sensing data for agriculture applications

Abstract: The recent progress in deep learning is slowly but consistently shifting the paradigm that was followed in remote sensing data processing over the last decades. AI applications are starting to become available for a wide range of applications, from on-board data reduction to fine-grained analytics. Agriculture is one of the areas with the largest social impact of this technological revolution, through a two-pronged strategy. Firstly, AI technology is used to replace the typical flat-rate applications of chemicals with targeted applications only to regions of need, thus alleviating the environmental stress caused by intensive farming practices. Secondly, AI is used to substitute agronomic input across the season, something particularly meaningful in parts of the world where access to agronomical input is limited. In this talk, we are going to present in detail the related topics, while also discussing the technology bottlenecks, limitations and future directions.

David Woosnam, Senior Developer @ Winnow
> Winnow: Tackling food waste with Computer Vision

Abstract: Food waste is a $1 Trillion problem. An individual commercial kitchen can waste up to $30K per year, just by throwing food in the bin.
At Winnow, we believe food is too valuable to waste. More so when you add up the extra hidden impacts of food production like land use and water consumption.
In 2013 we started addressing the problem with the technologies available to us at the time. Connected devices and simple sensors in the kitchen. Drawing attention to a forgotten problem and enabling chefs to take control.
In 2019 we have evolved, established in 40+ countries and with a broad range of pioneering customers. Our platform is evolving too. The technology landscape has moved, and a new generation of tools (Deep Learning, Computer Vision and CNNs) are enabling us to provide better data, for less effort, enabling better decision making in the kitchen, saving 36,000 tonnes of CO2 per year and $30m. And we're targeting $1B saved in 2025.

Location: Microsoft Reactor

Agenda:

18:00 - 19:00 Networking

19:00 - 20:00 Talks followed by Q&As

20:00 - 21:00 Networking, drinks, and pizza sponsored by Logikk!

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/