CDE Webinar – Tom Andersson, Tackling diverse environmental prediction tasks with neural processes

Tom is an ML Research Scientist at the British Antarctic Survey (BAS) AI Lab, where he researches and develops ML systems for monitoring and adapting to climate change. His work currently focusses on the application and implementation of neural processes in environmental sciences. Tom has used uncertainty quantification, interpretability, and active learning methods to build […]

CDE Webinar – Prof Iain Styles, AI for biological imaging and sensing

Iain Styles is Professor of Computer Science at Queen’s University Belfast. He was previously at the University of Birmingham, where he was the Founding Director of the Institute for Interdisciplinary Data Science and AI, Turing University Lead, and PI and Director of the EPSRC-funded Baskerville Tier 2 High Performance Computing Facility. His principle research interest […]

CDE Webinar – Dr Rossella Arcucci, Data Learning: Integrating Data Assimilation and Machine Learning for reliable AI models

Dr Rossella Arcucciis a Lecturer in Data Science and Machine Learning at Imperial College London (ICL). She is an elected member of the World Meteorological Organization and the elected speaker of the AI Network of Excellence at ICL where she represents more than 270 academics working on AI. She has been with the Data Science […]

CDE Webinar – Dr Tom August, AI for on the ground biodiversity monitoring

Tom August is a computational ecologist at the UK Centre for Ecology and Hydrology. His research focuses on the use of technology to better our understanding of biodiversity, both through innovative data collection methods and engaging communications. Tom comes from a background in field and applied ecology, now focussing on applying AI methods to improve […]

CDE Webinar – Dr Peter Battaglia, DeepMind. GraphCast: Learning skillful medium-range global weather forecasting

Dr Peter Battaglia, Google DeepMind provided a presentation on the use of AI in medium range global weather forecasting. Peter Battaglia is a Research Scientist/Director at DeepMind. His work focuses on approaches for modelling and reasoning about complex systems, by combining richly structured knowledge with flexible learning algorithms. In this webinar, Peter presented his recent […]

CDE Webinar – Dr Sari Giering NOC and Dr Robert Blackwell CEFAS Are plankton nets a thing of the past? How we can use AI for real-time high-resolution plankton monitoring?

Dr Sari Giering, NOC and Dr Robert Blackwell, CEFAS provided a joint overview of the role and opportunity of AI in oceanic plankton monitoring. Sari is a researcher at the National Oceanography Centre. Her research interests focus on how marine organisms influence the capacity of the ocean to store carbon. Her research combines shipboard measurements, […]

Jetson Nano – Object Detection and Image Classification

In our previous blog (https://digitalenvironment.org/the-nvidia-jetson-nano-first-look-and-setup) we explored setting up and running the amazing Jetson Nano Developer Kit from NVIDIA. This little unit is capable of about half a teraflop of floating point calculations using its Maxwell accelerated GPU processor – pretty impressive for a low cost unit. In this blog we were following the ‘Two […]

Facial Expression Recognition Demonstrator

In this post, we describe the development of a further demonstrator for an exhibition we are planning using a Raspberry Pi. The Digital Environment team are planning to be in support of NERC in attending the American Association for the Advancement of Science (AAAS) annual conference and exhibition in Seattle, USA in February 2020, and are making […]