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Machine Intelligence

A collection of 109 posts

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
Self-Driving Cars: the Tech & the Roadblocks
Neural Networks

Self-Driving Cars: the Tech & the Roadblocks

Image source: Driver Gaze Classification by Lex Fridman.With successful development, self-driving car could be the most important breakthrough in the coming decades. As cities begin to make way for autonomous vehicles, the...

  • Nikita Johnson
    Nikita Johnson
25 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
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
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
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
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
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
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
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
A New Era of Driverless Transport is Upon Us
Machine Learning

A New Era of Driverless Transport is Upon Us

Thanks to the collision of machine learning and the Internet of Things (IoT), driverless technology is advancing rapidly, and advancements are expected to continue on this trajectory with technology giants like Google, Intel,...

  • Nikita Johnson
    Nikita Johnson
1 March 2017
Accelerating Tech: the Future of Autonomous Vehicles
Machine Learning

Accelerating Tech: the Future of Autonomous Vehicles

The technologies driving forward a new era of autonomous vehicles have been accelerating exponentially in the past few years. The futuristic cars that until recently were only found in science fiction could be...

  • Nikita Johnson
    Nikita Johnson
20 February 2017
The 6 Levels of Autonomous Driving
Machine Learning

The 6 Levels of Autonomous Driving

On March 23 & 24, we will be holding our first Machine Intelligence in Autonomous Vehicle Summit in San Francisco. Autonomous vehicles has been the latest obsession of every car enthusiast and manufacturer,...

  • Eunice Ma
16 February 2017
What is the General AI Challenge?
Deep Learning

What is the General AI Challenge?

Current AI solutions, deemed 'narrow AI', are essentially task-specific - they learn to do one, well-defined task extremely well. A 'general AI' system, on the other hand, will be capable of “learning how...

  • Nikita Johnson
    Nikita Johnson
15 February 2017
Applying Machine Learning & Sensing Technologies to Accelerate the Connected Car
Machine Learning

Applying Machine Learning & Sensing Technologies to Accelerate the Connected Car

"We as an industry have to figure out how to get gigabytes of data off our cars"Renovo, says the traditional concept of a vehicle platform faces potential radical change in an era...

  • Nikita Johnson
    Nikita Johnson
8 February 2017
Music Discovery at Pandora
Big Data

Music Discovery at Pandora

Finding the music of the moment can often be a challenging problem, even for humans with well-versed musical tastes. These challenges further explode into a myriad of complexities when attempting to construct algorithmic...

  • Nikita Johnson
    Nikita Johnson
2 February 2017
UREX: Under-appreciated Reward Exploration by Google Brain
Deep Learning

UREX: Under-appreciated Reward Exploration by Google Brain

The most widely-used exploration methods in reinforcement learning today (like entropy regularization and epsilon-greedy) have not changed much in the last 20 years. Google Brain argues that these exploration strategies are naive and...

  • Nikita Johnson
    Nikita Johnson
21 January 2017
Inspiring Women in Machine Intelligence
Machine Learning

Inspiring Women in Machine Intelligence

Join us for an evening of discussions and networking around the progress and application of machine intelligence at the annual Women in Machine Intelligence Dinner in London on 21 February with expert speakers...

  • Nikita Johnson
    Nikita Johnson
16 January 2017
How Deep Learning is Expected to Develop in 2017
Deep Learning

How Deep Learning is Expected to Develop in 2017

2016 saw some progressive advancements in AI technology, such as AlphaGo beating Go grandmaster Lee Sedol. We have seen other great developments such as with image recognition, where we can one day expect...

  • Charlotte Utting
4 January 2017
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