DBC is the first AI computing platform driven by blockchain. It is a new attempt between AI and Digital Currency. The company introduced its cloud platform in May 2017 and already created a working product with over 100 manufacturers using the platform including Microsoft, Samsung, Siemens, and Lenovo. DeepBrain Chain is an Artificial Intelligence Computing Platform driven by blockchain. The DBC project is for global AI computing resource sharing and resource scheduling because many small businesses do not have the money to buy expensive GPU servers, but many companies have a large number of GPU servers which are idle.

The universe seems incredibly complex. But could its rules be dead simple? Juergen Schmidhuber's fascinating story will convince you that this universe and your own life are just by-products of a very simple and fast program computing all logically possible universes. Juergen Schmidhuber is Director of the Swiss Artificial Intelligence Lab IDSIA (since 1995), Professor of Artificial Intelligence at the University of Lugano, Switzerland (since 2009), and Professor SUPSI (since 2003). He helped to transform IDSIA into one of the world's top ten AI labs (the smallest!), according to the ranking of Business Week Magazine.

It's been ten years since the global financial crisis led to widespread calls to restore trust in UK financial services. Yet today, the trust-in-finance debate has largely moved on, without producing a better financial sector, able to serve the public interest. Instead, there is another reputational battle taking place within financial services itself – as banks, insurers and investment companies get to grips with the latest wave of technological disruption in their sector. The last wave of technological disruption took place at the turn of the 21st century, giving birth to a new sector known as fintech – companies specialising in financial software, equipment and systems. That last wave also gave us financial supermarkets, price comparison sites and online banking.

This article was written by James Le. It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based on large amounts of data. Some of the most common examples of machine learning are Netflix's algorithms to make movie suggestions based on movies you have watched in the past or Amazon's algorithms that recommend books based on books you have bought before. So if you want to learn more about machine learning, how do you start?

Lisbon-headquartered Unbabel, a startup that has developed what it describes as an "AI-powered, human-refined" translation platform that makes it more cost effective to conduct business globally, has raised $23 million in Series B funding. The round is led by Scale Venture Partners, with participation from Microsoft Ventures, Salesforce Ventures, Samsung Next, Notion Capital, Caixa Capital, and Funders Club. It follows a $5 million Series A round in October 2016. A graduate of Y Combinator's 2014 Winter Batch, Unbabel uses AI/machine learning, augmented with a network of around 55,000 human translators, to power translations across multiple text-based content and communication, such as email, chat, websites and more. This is delivered via an API and integrations with the likes of Salesforce, Zendesk, WordPress, Mailchimp, and other enterprise software.

Sophie Guibaud, Fidor Bank: AI is on! Implementation of first uses cases around real-time contextual added-value banking notifications and offers will make their appearance in 2018, predicts Sophie Guibaud, vice-president for European expansion at Fidor Bank. Artificial intelligence (AI) is beginning to make some real inroads into the consumer banking experience. While some might have dismissed it as a gimmick a year ago, there's no doubt that AI is going to used more and more by banks into 2018. What's more, it won't just be used in the customer-facing services at the front end, but at the back end too, helping banks to make better use of the data they have.

Artificial intelligence (AI) and robots have slowly but steadily made their way into a variety of industries spanning fast food to the financial sectors. This expansion is projected to continue and is forecasted to replace a considerable amount of jobs. A Forrester report notes that AI can replace as many as six percent of jobs by 2021. A PwC reports notes that many jobs across the globe will be affected by the 2030s, including 38 percent of U.S. jobs; 35 percent of jobs in Germany; 30 percent of U.K. jobs, and 21 percent of occupations in Japan. There is no doubt that AI and robots can replace frontline workers who complete routine tasks.

The fast-changing, uncertain and ambiguous environments that organisations operate in today, requires organisations to re-think all their internal business processes and customer touch points. In addition, due to the availability of emerging (information) technologies such as big data, blockchain and artificial intelligence, it has become easier for startups to compete with existing organisations. Often these startups are more flexible and agile than Fortune 1000 companies and they can become a significant threat if not paid attention to. Therefore, focusing purely on the day-to-day operation is simply not and organisations have to become innovative and adaptive to change if they wish to remain competitive. The key characteristic of these new startups is that they are, at its core, a data company, regardless of the product or service they offer.

Our innovative client is creating a new Artificial Intelligence team and is looking to recruit several Scientists with an Artificial Intelligence (AI) / Machine Learning expertise. As our client's Scientist - Artificial Intelligence (AI) / Machine Learning you will; Develop machine learning, artificial intelligence (AI) algorithms to aid product development on a global scale. Have well-documented research experience within a relevant area; Artificial Intelligence (AI) / Machine Learning, image or natural language processing, deep learning. Have programming experience with either Python, SkLearn, Keras and Tensorflow, or similar libraries In return as our client's Scientist - Artificial Intelligence (AI) / Machine Learning you will receive; The opportunity to work in an intellectually stimulating environment where you can see your ideas be put in to practice. An environment that encourages a work/life balance.

In this paper we present a broad overview of the last 40 years of research on cognitive architectures. Although the number of existing architectures is nearing several hundred, most of the existing surveys do not reflect this growth and focus on a handful of well-established architectures. Thus, in this survey we wanted to shift the focus towards a more inclusive and high-level overview of the research on cognitive architectures. Our final set of 84 architectures includes 49 that are still actively developed, and borrow from a diverse set of disciplines, spanning areas from psychoanalysis to neuroscience. To keep the length of this paper within reasonable limits we discuss only the core cognitive abilities, such as perception, attention mechanisms, action selection, memory, learning and reasoning. In order to assess the breadth of practical applications of cognitive architectures we gathered information on over 900 practical projects implemented using the cognitive architectures in our list. We use various visualization techniques to highlight overall trends in the development of the field. In addition to summarizing the current state-of-the-art in the cognitive architecture research, this survey describes a variety of methods and ideas that have been tried and their relative success in modeling human cognitive abilities, as well as which aspects of cognitive behavior need more research with respect to their mechanistic counterparts and thus can further inform how cognitive science might progress.