The FINANCIAL — Using Artificial Intelligence (AI) to replace optical and mechanical components, researchers have designed a tiny spectrometer …

Artificial intelligence is taking the stage as smart cities become not just an idea for the future, but a present reality. Advanced technologies are at the forefront of this change, driving valuable strategies and optimising the industry across all operations. These technologies are quickly becoming the solution for fulfilling smart city and clean city initiatives, as well as net-zero commitments. AI is becoming well integrated with the development of smart cities. Implementation of AI is rapidly being recognised as the not-so-secret ingredient helping major energy providers accomplish their lowest-carbon footprints yet, along with unparalleled sustainability and attractive profit margins. What makes a city'smart' is the collection and analysis of vast amounts of data across numerous sectors, from metropolitan development and utility allocation all the way down to manual functions like city services.

Andreas Mershin visits with one of the trained disease-sniffing dogs in his office at MIT. The dogs are trained and handled in the UK by the organization Medical Detection Dogs. Trained dogs can detect cancer and other diseases by smell. A miniaturized detector can analyze trace molecules to mimic the process. Numerous studies have shown that trained dogs can detect many kinds of disease -- including lung, breast, ovarian, bladder, and prostate cancers, and possibly Covid-19 -- simply through smell.

Aseptika in St Ives and Zenzium in Cheshire have been awarded an unspecified grant from the UK's innovation agency to leverage AI and develop a new home-based early warning system for people with severe respiratory disease. Artificial Intelligence will automatically analyse and learn from data generated by the patient at home, using easy-to-use medical monitors and wearables, which connect to Aseptika's Activ8rlives App. The companies will introduce a Smart LungHealth system in the form of the Cloud-connecting Activ8rlives4 App and will also embed the AI alerting system into Aseptika's future wearable medical monitor called the BuddyWOTCH, currently in development. Aseptika and Zenzium will collaborate to create a system to automatically warn when patients health is declining. Looking at anonymised information gathered from previous clinical trials showed that many patients do not treat exacerbations and may not even be aware that they are having them.

Is there a next phase for cloud computing? During the past few years, cloud computing has become a mainstream element of modern software solutions just as common as websites or databases. The cloud computing market is a race vastly dominated by four companies: Amazon, Microsoft, Google and IBM with a few other platforms with traction in specific regional markets such as AliCloud in China. In such a consolidated market, it's hard to imagine a technology being disruptive enough to alter the existing dynamics. Artificial intelligence (AI) is the type of technology with the potential to not only improve the existing cloud platform incumbents but also power a new generation of cloud computing technologies.

Is there a next phase for cloud computing? During the past few years, cloud computing has become a mainstream element of modern software solutions just as common as websites or databases. The cloud computing market is a race vastly dominated by four companies: Amazon, Microsoft, Google and IBM with a few other platforms with traction in specific regional markets such as AliCloud in China. In such a consolidated market, it's hard to imagine a technology being disruptive enough to alter the existing dynamics. Artificial intelligence (AI) is the type of technology with the potential to not only improve the existing cloud platform incumbents but also power a new generation of cloud computing technologies. The thesis of a new generation of cloud computing platforms might seem ludicrous at first but it also presents a very intriguing argument.