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Data Mining

A collection of 20 posts

Taking a Leap Forward with Multimodal AI
AI Assistants

Taking a Leap Forward with Multimodal AI

AI has often taken inspiration from human learning to take big leaps forward. One such important stride is multimodal AI, where the AI agent processes video, images, audio, language, etc. and jointly learns how to do a task....

  • Guest Blog
    Guest Blog
18 October 2019
Earth Day 2017: Tackling Climate Science With Deep Learning
Big Data

Earth Day 2017: Tackling Climate Science With Deep Learning

Climate change is one of the most important problems facing humanity in the 21st century. By using simulations, scientists can provide us with a unique opportunity to understand the evolution of the climate...

  • Nikita Johnson
    Nikita Johnson
20 April 2017
Opening the Black Box: Interpretable Deep Learning for Genomics
Big Data

Opening the Black Box: Interpretable Deep Learning for Genomics

Deep learning models are often noted as "black boxes" in reference to the difficulties of tracing a prediction back to important features to understand how an output was arrived at. Although deep learning...

  • Katie Pollitt
    Katie Pollitt
22 February 2017
The Future of In-Place Associative Computing
Big Data

The Future of In-Place Associative Computing

Today’s solutions that seek to emulate the human mind waste time and energy moving data around. That is not what the human mind does – rather than move data around, it efficiently processes...

  • Nikita Johnson
    Nikita Johnson
18 January 2017
The World's First Artificially Intelligent Lawyer
Data Mining

The World's First Artificially Intelligent Lawyer

Lawyers today are overwhelmed with information. 3 million new laws get published every single year. Currently, lawyers use legal search engines that have confusing user interfaces, require complicated search syntax, and return thousands...

  • Diane Bédat
12 December 2016
Big Data and Machine Learning at Kohl's Department Stores
Big Data

Big Data and Machine Learning at Kohl's Department Stores

The landscape of retail is changing; companies are using more and more data-driven decisions. Machine learning and decision sciences allow companies to understand their customers and stores better, and enable them to learn...

  • Yulia Ivanova
6 December 2016
Interview: Beena Ammanath, VP of Data & Analytics at GE
Big Data

Interview: Beena Ammanath, VP of Data & Analytics at GE

We interview leading women in STEM to learn more about how we can all work to make science and technology industries more inclusive. How can more women be encouraged to work in these...

  • Nikita Johnson
    Nikita Johnson
15 November 2016
Learning to Rank with Deep Visual Semantic Features
Machine Learning

Learning to Rank with Deep Visual Semantic Features

Search is an important problem for modern e-commerce platforms such as Etsy. As a result, the task of ranking search results automatically is a multi-billion dollar machine learning problem.  At the Machine Intelligence...

  • Nikita Johnson
    Nikita Johnson
2 November 2016
How Will Deep Learning Impact the Finance Industry?
Big Data

How Will Deep Learning Impact the Finance Industry?

Artificial intelligence (AI) is not a new concept, but thanks to breakthroughs in deep learning, recent years have seen a rapid resurgence leading to an increasing impact across many industries. Finance in particular...

  • Katie Pollitt
    Katie Pollitt
22 June 2016
Deep Learning with Hugo Larochelle, Twitter Cortex
AI Pioneers

Deep Learning with Hugo Larochelle, Twitter Cortex

Hugo Larochelle is Research Scientist at Twitter Cortex, and Assistant Professor at the Université de Sherbrooke. Prior to this, he spent two years in the Machine Learning Group at the University of Toronto,...

  • Nikita Johnson
    Nikita Johnson
26 April 2016
Demystifying AI for Business
Big Data

Demystifying AI for Business

...

  • Alice Thwaite
19 March 2016
How Can We Make Cities Smart?
Future Cities

How Can We Make Cities Smart?

Graham Southorn is a freelance science and technology writer and a former editor of BBC Focus magazine. He covers the science behind navigation and mapping for the HERE 360 blog. Thanks to social...

  • Graham Southorn
9 March 2016
Here's What We Can Expect from Deep Learning in 2016 and Beyond
Deep Learning

Here's What We Can Expect from Deep Learning in 2016 and Beyond

As 2015 draws to a close, all eyes are on the year's accomplishments, as well as forecasting technology trends of 2016 and beyond. One particular field that has frequently been in the spotlight...

  • Nikita Johnson
    Nikita Johnson
29 December 2015
Leveraging Data Mining & Visualization in Future Cities
Big Data

Leveraging Data Mining & Visualization in Future Cities

The number of people living in urban areas is expected to double by 2050, and the challenge of supporting sustainable growth without exceeding the capacity of infrastructure, as well as meeting key carbon...

  • Yulia Ivanova
30 November 2015
Making Sense of IoT Data with Machine Learning
Big Data

Making Sense of IoT Data with Machine Learning

A big promise of the Internet of Things (IoT) is that by analyzing millions of new sources of data from embedded, networked devices our experience of the world becomes better and more efficient....

  • Nikita Johnson
    Nikita Johnson
9 October 2015
How to Integrate Deep Learning Into Your Business
Big Data

How to Integrate Deep Learning Into Your Business

Paul Murphy is CEO of Clarify, platform that makes media content extraction and search easy for developers to integrate into their applications. Paul's career in the software operations industry has spanned twenty years...

  • Paul Murphy
2 October 2015
Recommended Reads - Intelligent Machines Week
Big Data

Recommended Reads - Intelligent Machines Week

The tech world is rapidly evolving and it’s hard to keep up! To help you get up to date we’ve rounded up the best tech and innovation articles from this past...

  • Nikita Johnson
    Nikita Johnson
19 September 2015
RE.WORK Recommended Reads - 22 June 2015
EdTech

RE.WORK Recommended Reads - 22 June 2015

The tech world is rapidly evolving and it’s hard to keep up! To help you get up to date we’ve rounded up the best tech and innovation articles from this past...

  • Nikita Johnson
    Nikita Johnson
22 June 2015
Closing the Gap Between Gaming & the Automotive Industry
Industrial Automation

Closing the Gap Between Gaming & the Automotive Industry

Applying new and emerging technologies, such as virtual reality engineering, is having an huge impact on problem solving and cutting costs, as well as creating an efficient new development process for the automotive...

  • Nikita Johnson
    Nikita Johnson
18 June 2015
Deep Learning Data Analytics: Actionable Intelligence on a Massive Scale
Big Data

Deep Learning Data Analytics: Actionable Intelligence on a Massive Scale

To interact with the world’s information, most of us turn to search engines. We do it so often that we tend to think of search engines as the internet. But they’re...

  • Nikita Johnson
    Nikita Johnson
21 May 2015
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