We plan to take you on a journey over a series of articles introducing the state of AI and what we are doing at DLS to advance ESG investment and commitment in particular at a time when companies around the world are facing mandatory regulatory obligations for ESG and disclosure as well as the pressing energy crisis that many in the world are facing this winter along with the need to rapidly advance green energy and storage technology to mitigate these challenges and the role that Artificial Intelligence and advanced technology may play to achieve these objectives. Let's start with framing the era of AI that we believe the world will be experiencing across the remainder of this decade. Artificial Intelligence (AI) is defined as the area of developing computing systems which are capable of performing tasks that humans are very good at, for example recognising objects, recognising and making sense of speech, and decision making in a constrained environment. AI has potential to transform vast areas of the economy, however, to date much of the transformative power of AI has been focussed on social media and e-commerce – essentially digital media related sectors. As a recap for the definitions of Machine Learning and Deep Learning see the article "An into to AI".

There are those who debate whether the new decade of the 2020s commenced on 1 Jan 2020 or 1 Jan 2021. Either way, one suspects that many around the world will hope that at some point during the course of 2021 the current year will mark a shift away from the events of 2020 and allow for a new start. For a definition of AI, Machine Learning and Deep Learning see the Article an Intro to AI. A new administration is in place in the US and the talk is about a major push for Green Technology and the need to stimulate next generation infrastructure including AI and 5G to generate economic recovery with David Knight forecasting that 5G has the potential - the potential - to drive GDP growth of 40% or more by 2030. The Biden administration has stated that it will boost spending in emerging technologies that includes AI and 5G to $300Bn over a four year period. On the other side of the Atlantic Ocean, the EU have announced a Green Deal and also need to consider the European AI policy to develop next generation companies that will drive economic growth and employment.

Despite big successes in artificial intelligence (AI) and deep learning, there have been critical assessments made to current deep learning methods.8 Deep learning is data hungry, has limited knowledge transfer capabilities, does not quickly adapt to changing tasks or distributions, and insufficiently incorporates world or prior knowledge.1,3,8,14 While deep learning excels in natural language processing and vision benchmarks, it often underperforms at real-world applications. Deep learning models were shown to fail at new data, new applications, deployments in the wild, and stress tests.4,5,7,13,15 Therefore, practitioners harbor doubt over these models and hesitate to employ them in real-world application.

Artificial intelligence (AI) will create new job opportunities, not destroy them. AI will displace some jobs but will create new ones. The main aim of this article is intended to focus the minds of our political and business leaders as they consider what strategies to pursue to grow the economy (GDP), business activity and stimulate job creation whilst also taking into account the growing challenges of the environment with climate change mitigation increasingly on the agenda. Let's start by reviewing the types of AI and where we are now. Narrow AI: the field of AI where the machine is designed to perform a single task and the machine gets very good at performing that particular task.

When is too much knowledge a bad thing? According to the International Association of Scientific, Technical and Medical Publishers there are about 10,000 publishers of scientific journals worldwide producing some 33,000 active peer-reviewed journals in English, plus a further 9400 non-English journals. Together they publish around 3 million research articles each year. Professor Michael Witbrock of the School of Computer Science at the University of Auckland says, "Every few seconds another paper is published in molecular biology. Humans can't keep up with this. We are missing out on potential medical advances because we can't read our own literature."

Artificial intelligence (AI) has quickened its progress in 2021. A new administration is in place in the US and the talk is about a major push for Green Technology and the need to stimulate next generation infrastructure including AI and 5G to generate economic recovery with David Knight forecasting that 5G has the potential - the potential - to drive GDP growth of 40% or more by 2030. The Biden administration has stated that it will boost spending in emerging technologies that includes AI and 5G to $300Bn over a four year period. On the other side of the Atlantic Ocean, the EU have announced a Green Deal and also need to consider the European AI policy to develop next generation companies that will drive economic growth and employment. It may well be that the EU and US (alongside Canada and other allies) will seek ways to work together on issues such as 5G policy and infrastructure development. The UK will be hosting COP 26 and has also made noises about AI and 5G development.

Artificial intelligence (AI) has quickened its progress in 2021. A new administration is in place in the US and the talk is about a major push for Green Technology and the need to stimulate next generation infrastructure including AI and 5G to generate economic recovery with David Knight forecasting that 5G has the potential - the potential - to drive GDP growth of 40% or more by 2030. The Biden administration has stated that it will boost spending in emerging technologies that includes AI and 5G to $300Bn over a four year period. On the other side of the Atlantic Ocean, the EU have announced a Green Deal and also need to consider the European AI policy to develop next generation companies that will drive economic growth and employment. It may well be that the EU and US (alongside Canada and other allies) will seek ways to work together on issues such as 5G policy and infrastructure development. The UK will be hosting COP 26 and has also made noises about AI and 5G development.

This primer on all things artificial intelligence, written by Grooper Product Manager Chris Dearner, PhD., exposes the truth about AI. In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving". As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.

From our attitude towards work to our grasp of what two metres look like, the coronavirus pandemic has made us rethink how we see the world. But while we've found it hard to adjust to the new reality, it's been even harder for the narrowly-designed artificial intelligence models that have been created to help organisation make decisions. Based on data that described the world before the crisis, these won't be making correct predictions anymore, pointing to a fundamental problem in they way AI is being designed. David Cox, IBM director of the MIT-IBM Watson AI Lab, explains that faulty AI is particularly problematic in the case of so-called black box predictive models: those algorithms which work in ways that are not visible, or understandable, to the user. "It's very dangerous," Cox says, "if you don't understand what's going on internally within a model in which you shovel data on one end to get a result on the other end. The model is supposed to embody the structure of the world, but there is no guarantee that it will keep working if the world changes."

Imagine you're in the emergency room, where doctors and nurses are always making last minute critical decisions. To be able to have a trusted system that you could have a dialogue with, that you could argue with, will help you make more informed decisions. It's not going to make your decision for you, but it's going to help you reason more effectively. The reasoning side of AI is becoming increasingly important. When we brought Watson and other solutions to market, narrow AI was an emerging technology. With narrow AI you can quickly get very good results from a thin slice of data, but narrow AI can be very complex as well.