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LATEST DISCUSSION

24 Apr

Unsupervised investments: Top AI Venture Funds

If you want to see the full list (although not completely updated) here is the link:https://medium.com/@Francesco_AI/unsupervised-investments-i-a-guide-to-ai-investors-d1a6326f71ea

18 Apr

Big Data Strategy: tips and practices

A modified version of this paper has been presented and accepted at an international conference very recently and will be available in a few months time in the " Advances in Intelligence Systems and Computing" series.

11 Apr

What should primary and secondary school educators teach in the age of AI?

I saw another article on my news feed today about what skills the next generation will need to succeed...and which there is little point learning because AI will make the jobs involving those skills redundant. What do people on here think? And why?

07 Apr

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

I highly recommend reading the work of Numenta, which gives a new perspective on neuroscience and the biological approach to AI

04 Apr

Imagining Myself as a Data Engineer

Kaggle is a great place to start. Plenty of datasets, challenges and competitions https://www.kaggle.com/datasets

02 Apr

Congratulations to Francesco Corea, the winner of the March Data Science Foundation Contributor Competition

Thanks Chris for the shout-out

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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.

21 Apr

Unsupervised investments: Top AI Venture Funds

This article lists the top VC investing in AI as well as the features and characteristics that made them the best fit for entrepreneurs

14 Apr

Why AI is a great match for your data strategy

2017 was said to be the year of artificial intelligence (AI) thanks to the many leaps and bounds the technology made. It was also the year when its hype-mill went into overdrive. Which is annoying because, behind all the hype and inflated expectations, there are some really great applications of AI that you can take advantage of now, not in the year 3000 – and it’s not all robots, sci-fi and Black Mirror either.

02 Apr

Congratulations to Francesco Corea, the winner of the March Data Science Foundation Contributor Competition

Congratulations to Francesco Corea, the winner of the March Data Science Foundation Contributor Competition. The March Contributors Competition is now closed, the winner of the £50 Amazon gift voucher is Francesco Corea. Thank you all for submitting article and papers. The April competition is now open.

29 Mar

Advances in Data Science 2018: Final Speakers & Discussion Themes

The University of Manchester's Data Science Institute is delighted announce the conference’s final speaker line up and the themes to be discussed our upcoming Advances in Data Science Conference on May 21st and May 22nd in Manchester. “Focusing on Gaussian processes, Deep learning, latent variable models, subspace learning, network models, spatio-temporal models and longituinal data, we will explore the ways in which these methodologies can be used to address challenges faced by those working in the key application areas: Health - Security - Criminology - Discrimination/Bias - Politics - Demographics - Urban Planning - Global Challenges - Social Media – Conservation” The full conference schedule will be available on the Advances in Data Science website on March 30th 2018.

28 Mar

Strata Data Conference | 21-24 May 2018 | London

Strata Data Conferences bring together some of the world's smartest data scientists and business strategists to share new skills, share best practices, and lay a foundation for the future. Learn the techniques and technologies you need to build successful, data-driven projects and organisations at Strata Data Conference. Save 20% on most passes with discount code DSF20 . Early price ends Friday, 6th April.

28 Mar

Data Summit in Tel Aviv

The 4th Data Science Summit takes place on May 28, 2018 at Tel Aviv Convention Center.

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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.

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.

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.

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.

The growth in Analytics Masters

18 April 2018

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

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.

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.

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.

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?

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.

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.

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.

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.

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.

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.

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.

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.

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

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

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.).

DeepMind Strategy

15 February 2018 | Francesco Corea | A DSF White Paper

This paper describes how AI is revolutionizing business models

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

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

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

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

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.

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).

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.

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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The Data Science Foundation is your 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. Get in touch.

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