EU ethics Guidelines For Trustworthy AI: Chapter 1

EU ethics Guidelines For Trustworthy AI: Chapter 1

European Commission has released a set of ongoing guidelines on how to build AIs that can be trusted by society. We present an annotated analysis. The EU Commission follows the trend in the technological advancements, setting up pilot groups to understand how these advancements can be used for its own prosperity. Examples of that are the EU Blockchain Observatory which we’ve looked into in this article “EU Blockchain Observatory and Forum Blockchain AMA” or the EU bug bounty initiative which is covered in “EU Bug Bounty – Software Security as a Civil Right”. The Commission’s instrument in this case is the High-Level Expert Group on AI (AI HLEG), an independent expert group…

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learning AIl the myth of innate ability in tech.jpg

On learning AI: the myth of innate ability in tech. | Omoju Miller | TEDxSanFrancisco

Omoju Miller deconstructs the myth about innate ability in science and tech and explains the process of acquiring knowledge through logic and emotions that could allow anyone to join the AI revolution. Omoju Miller is a Senior Machine Learning Data Scientist with Github. She has over a decade of experience in computational intelligence. She has a Ph.D. from UC Berkeley. In the past, she has co-led the non-profit investment in Computer Science Education for Google and served as a volunteer advisor to the Obama administration’s White House Presidential Innovation Fellows. She is a member of the World Economic Forum Expert Network in AI. This talk was given at a TEDx event…

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Google AI center in Ghana

Google to locate it’s next AI research centre in Ghana

Google, has announced it will be opening its next artificial intelligence (AI) research centre in Ghana’s capital city, Accra.The centre will be the first of its kind on the continent. Google Said: In a post published by Jeff Dean (Senior Fellow, Google AI) and Moustapha Cisse (Staff Research Scientist and Lead of Google AI Center Accra). Today, we’re announcing a Google AI research center in Africa, which will open later this year in Accra, Ghana. We’ll bring together top machine learning researchers and engineers in this new center dedicated to AI research and its applications. Despite the launch of the centre being a new move for the firm, Google has held offices in…

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Deeplearn.js opens up ML in Web Browsers

Machine learning is gloriously deepening in its scheme of affairs with Google releasing its latest opensource offering of hardware-accelerated libraries that runs in a browser. Personalisation just moved to a much higher level with this new “old kid ?” on the block. Google’s latest desktop variant of Chrome (Ver. 62.0 and up) supports the libraries as the project sees to capture more device and hardwares in the coming times. The Deeplearn.js library enables training of neural networks within a browser without any software installation or back-end works.  “A client-side ML library can be a platform for interactive explanations, for rapid prototyping and visualization, and even for offline computation,”  A researchers from Google says;…

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Artificial Intelligence, Big Data, Data Science, Deep Learning, Machine Learning

A Brief History of AI

I. The origins Inspite of all the current hype, AI is not a new field of study, but it has its ground in the fifties. If we exclude the pure philosophical reasoning path that goes from the Ancient Greek to Hobbes, Leibniz, and Pascal, AI as we know it has been officially started in 1956 at Dartmouth College, where the most eminent experts gathered to brainstorm on intelligence simulation. This happened only a few years after Asimov set his own three laws of robotics, but more relevantly after the famous paper published by Turing (1950), where he proposes for the first time the idea of a thinking machine and the more popular Turing test…

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19 Best Free Data Miners

It is rightfully said that data is money in today’s world. Along with the transition to an app-based world comes the exponential growth of data. However, most of the data is unstructured and hence it takes a process and method to extract useful information from the data and transform it into understandable and usable form. Data mining or “Knowledge Discovery in Databases” is the process of discovering patterns in large data sets with artificial intelligence, machine learning, statistics, and database systems. Free data mining tools ranges from complete model development environments such as Knime and Orange, to a variety of libraries written in Java, C++ and most often in Python. There are…

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