Mind Foundry are thrilled to have been included in the ‘Ethical AI startup landscape’ research, mapped by researchers at the EAIGG (Ethical AI Governance Group), who have vetted nearly 150 companies working in Ethical AI across the globe. This important research by the EAIGG is being conducted to provide transparency on the ecosystem of companies working on ethical AI.
2 min read
Mind Foundry named in ‘Ethical AI startup landscape’ by EAIGG
By Frankie Garcia on May 16, 2022 2:41:07 PM
Topics: 3 Pillars Ethical AI Human • AI Collaboration Explainable AI Continuous Metalearning
5 min read
Let's use AI responsibly to discover where to place EV charge points
By William Chapman on Apr 1, 2022 8:30:00 AM
Between 2006 and 2010, there were 1,096 registered electric vehicles (EVs) in the UK. Since 2010 that number has exploded, and today there are an estimated 400,000 EVs on UK roads, not to mention more than 750,000 plug-in hybrids (PHEVs). With new technology inevitably comes new obstacles and complications and as EV numbers continue to soar, the provision of charging points to keep up with demand across the country is essential. However, recent figures suggest a growing disparity between the number of EVs and the level of charge point infrastructure, as well as a “regional divide” within the distribution of this infrastructure. The situation calls for a different approach to how EV infrastructure is implemented to ensure that, as more people switch to EVs, everyone who needs to access a charging point can do so, regardless of any geographical or socio-economic factors. Mind Foundry’s work in this field aims to provide the solution to this growing problem at a time where the UK government has just committed £1.6 billion to expand the UK's charging network under their new Electric Vehicle Infrastructure Strategy.
Topics: 3 Pillars Ethical AI Human • AI Collaboration public sector Explainable AI
4 min read
AI for Rapid Automated Calibration of Quantum Devices
By Nathan Korda on Mar 24, 2022 9:47:36 AM
(A version of this piece was originally published in techUK as part of #QuantumWeek2021.)