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Since the government announced it is legislating to hit net zero carbon emissions by 2050, ‘decarbonisation’ has become one of the words of the moment.

Changes in regulation and the increased focus on the net zero goal will inevitably mean some disruption; but it will also be a time of opportunity

In this case, a question of great interest will be: how will these AI systems interact with their end users in the energy management field?

Nobody wants to fail but often the fear of failure can get in the way of success. So how do you break the ‘better to do nothing than fail’ barrier?

Back again on the London streets since May 1st, Extinction Rebellion (XR) is now planning two weeks of protests. Their aim is to “peacefully occupy centres of power and shut them down”.

Almost everyone loves a good game but not many people realize that nowadays video games are more mainstream than films or music. The industry has been on a rapid rise for several years and is expected to generate $152 billion in 2019.

Well first things first, there is one. The entire history of technology development has been one of net job creation not destruction. The emergence of AI as the baseline form of computing in the years ahead will create more jobs than it will destroy.

Saving energy and improving assets is a win-win for both tenant and a landlord. Yet making it happen can be difficult

Since the definition of “artificial intelligence” (AI) was given by John McCarthy in the 1950s, the future of AI has long been a question of great interest in a wide range of fields.

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