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DATATALK ARTICLES

The Data Science Foundation is source of information on big data techniques and practices. We review and publish industry news, comment and white papers submitted by our members. We are recruiting editors and contributors to work with us on this site.

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LATEST NEWS

How artificial intelligence is transforming the world

25 April 2018

Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life. In this report, Darrell West and John Allen discuss AI's application across a variety of sectors, address issues in its development, and offer recommendations for getting the most out of AI while still protecting important human values.

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Scientists plan huge European AI hub to compete with US

24 April 2018

Leading scientists have drawn up plans for a vast multinational European institute devoted to world-class artificial intelligence (AI) research in a desperate bid to nurture and retain top talent in Europe.

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CIA plans to replace spies with AI

24 April 2018

Human spies will soon be relics of the past, and the CIA knows it. Dawn Meyerriecks, the Agency’s deputy director for technology development, recently told an audience at an intelligence conference in Florida the CIA was adapting to a new landscape where its primary adversary is a machine, not a foreign agent.

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Startup Is Training AI to Rewrite News Free of Bias

18 April 2018

Knowhere launched earlier this month, alongside an announcement that it had raised $1.8 million in venture capital.

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The growth in Analytics Masters

18 April 2018

FT notes that while MBAs are shrinking, analytics masters are a growth market

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Scientist who coined phrase 'artificial intelligence' dies

11 April 2018

Dr Philip Mayne Woodward was a British mathematician, pioneering radar engineer and world-renowned clock-maker.

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We should build a baby-brained artificial intelligence

11 April 2018

If we want our machines to possess anything approximating human intelligence, maybe we should think about giving them a childhood, too.

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Machine learning analysis helps predict spinal injury prognosis

11 April 2018

Researchers from the University of California-San Francisco are able to analyze MRI images using machine learning algorithms for computer-aided prognosis to predict short- and long-term outcomes for patients after acute spinal cord injuries.

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Why don’t data scientists get ethics training?

11 April 2018

What’s our obligation to the users behind the massive datasets we analyse for insights? What are reasonable levels of security or appropriate uses of personal data?

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Machine learning finds tumor gene variants and sensitivity to drugs in The Cancer Genome Atlas

10 April 2018

Using machine learning technique to identify who will respond to certain therapy based on patient's genetic information. This is an example of precision medicine.

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The Most Profitable Skills A Data Scientist Can Learn To Boost Their Salary

04 April 2018

The annual IAPA Skills and Salary Survey has tracked the rise and rise of the analyst salary, with median salaries now sitting at twice the average Australian’s take home wage in 2017, with an even stronger rise above the norm at the entry and expert ends of the spectrum.

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Artificial Intelligence Learns To Predict The Likelihood Of Life On Other Planets

04 April 2018

Artificial intelligence (AI) is learning to recognize patterns of life-supporting conditions on other worlds.

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If Your Data Is Bad, Your Machine Learning Tools Are Useless

04 April 2018

Poor data quality is enemy number one to the widespread, profitable use of machine learning.

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How To Make Machine Learning More Human

02 April 2018

Last week, World Economic Forum released a paper on how to prevent discrimination of humans in machine learning? In which it provides a framework for developers to understand the potential risks associated with machine learning applications and how to combat marginalisation and discrimination of humans in AI and encourage dignity assurance.

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The Cambridge Analytica: What’s a data scientist to do?

31 March 2018

The recent controversy about Cambridge Analytica’s use of Facebook data to, allegedly, influence the 2016 US presidential election and, possibly, the UK EU referendum raises an ethical issue, especially for data scientists newly minted from UK universities.

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whitepapers

Forecasts on AI

22 April 2018 | Francesco Corea | A DSF White Paper

This article provides a series of forecasts regarding the development of AI and robotics. We have discussed some AI topics in the previous posts, and it should seem now obvious the extraordinary disruptive impact AI had over the past few years. However, what everyone is now thinking of is where AI will be in five years time. I find it useful then to describe a few emerging trends we start seeing today, as well as make few predictions around machine learning future developments. The following proposed list does not want to be either exhaustive or truth-in-stone, but it comes from a series of personal considerations that might be useful when thinking about the impact of AI on our world. The interesting aspect of those is that are predictions made one year ago, and many turned out to be true.

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Big Data Strategy: tips and practices

11 April 2018 | Francesco Corea | A DSF White Paper

This paper illustrates tips and tools to run a data science practice within an organization. It will also give some tools to understand the stage of data science maturity of the company.

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Propensity Modelling for Business

02 April 2018 | Tim Royston-Webb | A DSF White Paper

Propensity modelling is a statistical approach and a set of techniques which attempts to estimate the likelihood of subjects performing certain types of behaviour (e.g. the purchase of a product) by accounting for independent variables (covariates) and confounding variables that affect such behaviour.

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What you are too afraid to ask about Artificial Intelligence Part II

25 March 2018 | Francesco Corea | A DSF White Paper

This article follows the first piece on machine learning describing how AI interacts with neuroscience, as well as how hardware and chips are getting created and modified to be more efficient for specific AI algorithm

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Human Resources for Big Data Professions: A systematic Classification of Job Roles and Required Skill Sets

16 March 2018 | Andrea De Mauro | A DSF White Paper

The rapid expansion of Big Data Analytics is forcing companies to rethink their Human Resource (HR) needs. However, at the same time, it is unclear which types of job roles and skills constitute this area

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Machine Learning: what you are too afraid to ask

06 March 2018 | Francesco Corea | A DSF White Paper

This is a very basic introduction to different techniques currently used in machine learning (artificial neural networks, Particle Swarm Optimization, Evolutionary Algorithms, etc.).

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DeepMind Strategy

15 February 2018 | Francesco Corea | A DSF White Paper

This paper describes how AI is revolutionizing business models

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Artificial Intelligence Explained

23 January 2018 | Francesco Corea | A DSF White Paper

This is paper that explains the basic concepts behind AI as well as common definitions that are needed to be known

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Unsupervised Investments: AI Accelerators and incubators

28 December 2017 | Francesco Corea | A DSF White Paper

This is a short guide to AI Accelerators and Incubators worldwide

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Pandas Cookbook:Develop Powerful Routines for Exploring Real World Datasets

15 December 2017 | Ted Petrou | A DSF White Paper

A detailed summary of Pandas Cookbook

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Will AI transform insurance?

07 November 2017 | Francesco Corea | A DSF White Paper

This paper will provide a description of how AI is changing the insurance industry as well as who are the most-known players in the space

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Data Science and Big Data: definition and common myths

23 October 2017 | Francesco Corea | A DSF White Paper

This paper defines what big data and data science are and common myths that need to be explained in order to fully understand and use this powerful technology.

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The new CxO gang: data, AI, and robotics

14 October 2017 | Francesco Corea | A DSF White Paper

I am going to briefly present three new roles emerged because of new exponential technologies, i.e., the Chief Data Officer (CDO), the Chief Artificial Intelligence Officer (CAIO) and the Chief Robotics Officer (CRO).

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Introduction to Artificial Neural Networks (ANNs)

05 September 2017 | Kirill Goltsman | A DSF White Paper

The paper describes the architecture of a simple neural network and offers a useful intuition on how it may be used to solve complex nonlinear problems in an efficient way.

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Getting a new periodic table of elements using AI

05 September 2017 | Toni Manzano | A DSF White Paper

The periodic table of elements is an atomic organisation based on two axis. The horizontal axis establishes an increasing order based on the atomic number (number of protons) of each element. The vertical arrangement is managed by the electronic configuration and presents a taxonomic structure designed by the electrons of their latest layer . Furthermore, four main blocks arrange the atoms by similar properties (gases, metals, nonmetals, metalloids). Additionally to the number of protons and the electronic configuration, the atoms are characterised by other attributes that are not ascendant nor cyclic in the periodic table of elements. The values of these properties constitute a sample of numbers that represent different atomic magnitudes that distinguish in some how the chemical elements. In this experiment some of these chemical and physical dimensions have been involved in the training of a set of machine learning algorithms to obtain representative clusters of each element.

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INFORMATION

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