7 min read
How Do Machines Learn? Meta-learning As an Approach
In the previous two blogs in the series, we addressed what makes machine learning models...
Download our EV case study
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.
By 2030 there are estimated to be over 10 million electric vehicles in the UK, which will require an additional 35,000 charging points to be installed each year, costing approximately £2.2 billion in infrastructure.
Building, maintaining and ensuring accessibility to these charge points, to balance short and long term demand in the face of uncertainty and changing legislation is a challenging task, but one that is critical to ensure smooth adoption of electric vehicles and keeping costs to a minimum.
Mind Foundry is working alongside Oxfordshire County Council, Energy Systems Catapult and others, combining Geospatial AI with variety of different data sources to intelligently model and predict the changing requirements for Electric Vehicle charging infrastructure.
The Mind Foundry Platform provides key optimisations in the workflows of planners, charge point operators and energy providers, allowing disparate departments to communicate and collaborate with AI at a more fundamental level than previously possible.
Connecting with live and historic data sources we provide next level granularity, scenario modelling and rollout planning capabilities that can be sensitive not just to immediate demand, but long term strategy, local constraints, individual needs and more.
In the previous two blogs in the series, we addressed what makes machine learning models...
The integration of Artificial Intelligence (AI) and machine learning has already brought...
AI is everywhere. It has rapidly become an integral part of how we organise our lives, go...