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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
Creating the Open-Source Autonomous Vehicle
Neural Networks

Creating the Open-Source Autonomous Vehicle

As the race to create the first fully autonomous, road-safe vehicle continues, numerous road-blocks and challenges are pushing companies to find new innovative solutions.Successful development of autonomous vehicles requires a wide variety...

  • Nikita Johnson
    Nikita Johnson
16 April 2017
Cloud-based Deep Learning: Reducing Tedium in Radiology
Deep Learning

Cloud-based Deep Learning: Reducing Tedium in Radiology

Radiology requires countless hours searching for tiny lesions, creating distance and contour annotations, and filling out checklists to determine stages of disease - these tasks are onerous and error-prone, resulting in high costs...

  • Katie Pollitt
    Katie Pollitt
13 April 2017
Simulating Financial Markets On Deep Learning Models
Machine Learning

Simulating Financial Markets On Deep Learning Models

An autoencoder is an artificial neural network where output units are directly connected back to input units, and is often used for unsupervised learning of efficient codings.In finance, autoencoders and other deep...

  • Nikita Johnson
    Nikita Johnson
11 April 2017
Cognitive Robotics: Learning Environment Perception
Humanoid Robots

Cognitive Robotics: Learning Environment Perception

Image source: Autonomous Intelligent Systems Group, University of BonnFor robots to successfully perceive and understand their environment, they must be taught to act in a goal-directed way. While mapping environments geometry is a...

  • Leonie Philipp
10 April 2017
Internet of Things Day 2017 Special Offer!
Connected Home

Internet of Things Day 2017 Special Offer!

For this year's IoT Day on 9 April, we have a special offer for Internet of Things and Machine Learning enthusiasts in our community. Use the discount code IOTDAY to save 20% on...

  • Léonie Philipp
8 April 2017
Interview with Andrew Thomas of SkyBell
Connected Home

Interview with Andrew Thomas of SkyBell

The world of startups is constantly moving and evolving. With the exponential growth of the Internet of Things (IoT) and automated technologies in recent years, innovative new companies are often funded, acquired and...

  • Nikita Johnson
    Nikita Johnson
6 April 2017
World Health Day 2017 Special Offer!
Deep Learning

World Health Day 2017 Special Offer!

To celebrate this year's World Health Day on 7 April, we have a special offer for our upcoming Deep Learning in Healthcare Summit in Boston! Use the discount code HEALTHDAY to save 20%...

  • Katie Pollitt
    Katie Pollitt
5 April 2017
Security & Privacy is Vital For Machine Learning to Succeed
Deep Learning

Security & Privacy is Vital For Machine Learning to Succeed

As popularity of machine learning grows, there is rising recognition that it exposes new security and privacy issues in software systems. While artificially intelligent algorithms are providing new opportunities in business and society,...

  • Nikita Johnson
    Nikita Johnson
4 April 2017
Online Banking is Evolving With NLP & Deep Learning
Machine Learning

Online Banking is Evolving With NLP & Deep Learning

The world of online banking is heading towards a digital reality where questions are no longer answered by humans, but by computers. In the last year alone the number of banks focusing on...

  • Nikita Johnson
    Nikita Johnson
2 April 2017
Using AI to Estimate Customer Life Time Value in E-Commerce
Machine Learning

Using AI to Estimate Customer Life Time Value in E-Commerce

As deep learning techniques and applications continue to spread across business and society, this technology is now making an impact on retail and advertising. Data mining and deep learning algorithms are applied to...

  • Nikita Johnson
    Nikita Johnson
30 March 2017
The Great Conundrum of Hyperparameter Optimization
Deep Learning

The Great Conundrum of Hyperparameter Optimization

Regularization is tuning or selecting the preferred level of model complexity so deep learning models are more successful in predictions.Techniques for regularization are applied to machine learning models to make the decision...

  • Nikita Johnson
    Nikita Johnson
28 March 2017
New Approaches to Unsupervised Domain Adaptation
Neural Networks

New Approaches to Unsupervised Domain Adaptation

The cost of large scale data collection and annotation often makes the application of machine learning algorithms to new tasks or datasets prohibitively expensive. One approach circumventing this cost is training models on...

  • Nikita Johnson
    Nikita Johnson
26 March 2017
Addressing the Critical Issues of Deep Learning in Medical Imaging
Deep Learning

Addressing the Critical Issues of Deep Learning in Medical Imaging

Since being named as one of the top 10 breakthrough technologies of 2013, deep learning has hit the headlines repeatedly, with new applications emerging rapidly. In particular, deep learning techniques have proven to...

  • Katie Pollitt
    Katie Pollitt
24 March 2017
Women in STEM: Interview with Julie Choo
Smart Transport

Women in STEM: Interview with Julie Choo

I first met Julie Choo, a techpreneur and author, at the Deep Learning Summit in London. When I learnt of her interest and research in autonomous vehicles I invited her to participate at...

  • Nikita Johnson
    Nikita Johnson
23 March 2017
Deep Learning in Finance: Learning to Trade with Q-RL and DQNs
Deep Learning

Deep Learning in Finance: Learning to Trade with Q-RL and DQNs

Price changes in financial products are largely random but can often be supplemented by features, providing additional structure that can be exploited for trading profits. Experienced traders are skilled at identifying these features...

  • Charlotte Magnall
22 March 2017
Beating the Perils of Non-Convexity in Neural Nets
Deep Learning

Beating the Perils of Non-Convexity in Neural Nets

Neural networks, or "neural nets", have become a common term in the tech world and discussions around artificial intelligence, since their use in machine learning has revolutionised performance across multiple domains like computer...

  • Nikita Johnson
    Nikita Johnson
20 March 2017
Building the Foundation of the Autonomous Vehicle
Big Data

Building the Foundation of the Autonomous Vehicle

While tech companies battle to be the first to create fully autonomous vehicles, there is a quiet evolution happening in the background that is building the foundation for these vehicles: data collection, with...

  • Nikita Johnson
    Nikita Johnson
17 March 2017
Applying Autoencoding in the Financial Sector
Deep Learning

Applying Autoencoding in the Financial Sector

Like most industries, artificial intelligence is expected to impact the financial sector in numerous areas, including blockchain technologies, robo-advisors and virtual banking assistants, financial forecasting, stock market prediction, and fraud detection among others....

  • Charlotte Magnall
15 March 2017
Improving Reinforcement Learning With Minecraft
Deep Learning

Improving Reinforcement Learning With Minecraft

Using games to train machine learning models has proven to be increasingly successful in recent years, and has helped to spread public understanding of algorithms and deep learning methods through mainstream media coverage,...

  • Nikita Johnson
    Nikita Johnson
13 March 2017
The Future of Emotionally Intelligent AI
Big Data

The Future of Emotionally Intelligent AI

“Society will get the AI it deserves.” - Joscha Bach, What to Think About Machines That Think Today, AI-powered machines can defeat the most skilled players in chess, game of Go, Jeopardy and...

  • Lana Novikova
10 March 2017
Deep Learning in Health – It's Not All Diagnostics
Deep Learning

Deep Learning in Health – It's Not All Diagnostics

Last week, RE•WORK held the second annual Deep Learning in Healthcare Summit in London. The summit hosted 30 speakers and 200 attendees over 2 days to explore the recent developments in deep...

  • Katie Pollitt
    Katie Pollitt
9 March 2017
IWD 2017: Interview with Accenture's Manager of AI
Deep Learning

IWD 2017: Interview with Accenture's Manager of AI

International Women’s Day takes place annually on 8 March, providing companies, institutions and individuals with an opportunity to discuss and promote diversity and equality around the world.  The day is celebrated widely...

  • Nikita Johnson
    Nikita Johnson
8 March 2017
"A Great Promise for Personalised Health"
Deep Learning

"A Great Promise for Personalised Health"

Last Tuesday, the Deep Learning in Healthcare Summit London took place at LSO St Luke’s.RE•WORK hosted 40 speakers and 200 attendees over the course of the 2-day summit to explore...

  • Chloe Pang
7 March 2017
The Future of Autonomous Vehicles: Share Your Views
Machine Learning

The Future of Autonomous Vehicles: Share Your Views

We're working on an infographic and article for the Huffington Post about the trends and limitations of autonomous vehicles, and we'd love for our readers to be involved! Our aim is to gather...

  • Nikita Johnson
    Nikita Johnson
6 March 2017
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