RE•WORK
  • Blog
  • Media
  • About us
  • Event calendar

Deep Learning

A collection of 413 posts

What's Next For Virtual Assistants & Deep Learning?
Machine Learning

What's Next For Virtual Assistants & Deep Learning?

Deep Learning continues to further advance and disrupt as we progress through 2017, with London one of the key global research and startup hubs for breakthrough AI technology.  The 2016 Deep Learning Summit...

  • Nikita Johnson
    Nikita Johnson
9 May 2017
Visual Localization & Mapping for Autonomous Driving
Machine Learning

Visual Localization & Mapping for Autonomous Driving

Image source: V-Charge Project by ETH Zurich Autonomous Systems LabThe battle against climate change needs new mobility concepts, and advancing autonomous electric vehicles could be key in the global mission to reduce CO2...

  • Leonie Philipp
7 May 2017
Agile Deep Learning For Modern Software Development
Deep Learning

Agile Deep Learning For Modern Software Development

Deep Learning has been called the "new electricity", with its sudden transformational power over every industry. While the attention on deep learning's innovative algorithms is well-deserved, turning innovation into value requires integrating these...

  • Katie Pollitt
    Katie Pollitt
2 May 2017
Top 5 Key Areas: Deep Learning in Retail & Advertising
Neural Networks

Top 5 Key Areas: Deep Learning in Retail & Advertising

Recent advances in deep learning have enabled research and industry to master many challenges in computer vision and natural language processing that were out of reach until just a few years ago. Yet...

  • Nikita Johnson
    Nikita Johnson
30 April 2017
Using AI to Improve Quality of Life For Diabetic Patients
Machine Learning

Using AI to Improve Quality of Life For Diabetic Patients

The world of startups is constantly moving and evolving. With the exponential growth of deep learning research and technologies in recent years, innovative new companies are often funded, acquired and transformed from startups...

  • Katie Pollitt
    Katie Pollitt
27 April 2017
Discovering Extrasolar Planets with Deep Learning
Space

Discovering Extrasolar Planets with Deep Learning

An extrasolar planet, or exoplanet, is a planet that orbits a star other than the Sun in our solar system. As of 1 April 2017, there have been 3,607 exoplanets discovered in...

  • Leonie Philipp
23 April 2017
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
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
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
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
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
RE•WORK Blog - AI & Deep Learning News © 2025
Latest Posts Facebook Twitter Ghost