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What makes a machine learning model ‘trustworthy’?
Last year, Mind Foundry worked closely with Professor Brent Mittelstadt (of the Oxford...
In countries like the UK, where the majority of drivers will rely on public charging stations to make this possible, finding out where to install these charging points is a complex problem. We need to understand infrastructure capacity, accessibility, the social impact and ethical implications that could arise from an unfair distribution of power.
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Tell me how County Councils in the UK are using AI to find out where to place the 400,000 EV chargers that are needed to reach Net Zero.
The demand for EVs is growing exponentially in an effort to lower emissions in the future. However, with such an increased demand, local authorities must supply sufficient charging points installed in optimum positions. Incorrect charging locations could have dire consequences on local communities, be costly and inefficient to EV drivers.
Mind Foundry is successfully combining geospatial modelling with a variety of different data sources and advanced uncertainty awareness forecasting, to intelligently model and predict the changing requirements for EV charging infrastructure. Mind Foundry's AI platform is helping to deploy the right amount of EVs in the best location possible for Oxfordshire County Council.
Find out more about the solution by reading our fact sheet.
Watch the video below to learn how Mind Foundry has built a geospatial platform enabling energy leaders to visualise,
understand, and solve this problem today.
In addition to helping the UK reach Net Zero, Mind Foundry is also using AI responsibly in Insurance, Government and Public Sector, and Security and Defence.
Last year, Mind Foundry worked closely with Professor Brent Mittelstadt (of the Oxford...
Generative AI has exploded into the public eye, with the conversation focusing on the...
There’s been a lot of talk about the development of large language models (LLMs)...