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Machine Learning

A collection of 254 posts

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
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
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
Deep Learning Platforms & GPUs: an Interview With Bryan Catanzaro
Deep Learning

Deep Learning Platforms & GPUs: an Interview With Bryan Catanzaro

High-performance graphics cards, typically associated with gaming, have become popular over the last few years in an area many might not expect: artificial intelligence.  Many experts attribute recent acceleration of success in AI...

  • Nikita Johnson
    Nikita Johnson
3 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
Interpretability: the Next Deep Learning Challenge
Deep Learning

Interpretability: the Next Deep Learning Challenge

Deep learning researchers are increasingly focusing on a big problem in the field: interpretability.While supervised neural nets trained on huge datasets can achieve impressive performances in tasks such as computer vision and...

  • Nikita Johnson
    Nikita Johnson
27 February 2017
Exploring Machine Learning at OpenAI & Google With the Experts
Deep Learning

Exploring Machine Learning at OpenAI & Google With the Experts

On 26-27 January, we held the Deep Learning Summit and Virtual Assistant Summit in San Francisco, enjoying another mind-expanding 2 days learning about the latest trends and applications in the AI world. During...

  • Nikita Johnson
    Nikita Johnson
24 February 2017
11th Global Deep Learning Summit to Be Held Singapore This April
Machine Learning

11th Global Deep Learning Summit to Be Held Singapore This April

Following the success of the Deep Learning Summit series in San Francisco, London, and Boston, RE•WORK is pleased to announce its 11th global Deep Learning Summit in Singapore. It is taking place...

  • Chloe Pang
23 February 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
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
Interview With Google's Conversation Design Lead Nandini Stocker
Machine Learning

Interview With Google's Conversation Design Lead Nandini Stocker

Science and gender equality are both vital for the achievement of international development goals. In order to achieve equal access to and participation in science for women and girls, and attain global gender...

  • Sophie Curtis
13 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
Reprogramming the Human Genome: Why AI is Needed
Deep Learning

Reprogramming the Human Genome: Why AI is Needed

"Exponential data problems is very challenging and it's why it's hard to apply machine learning to genomics""Sequencing 1M genomes or 1B genomes won't address these problems"Last week at the Deep Learning...

  • Charlotte Utting
30 January 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
The World's First Cognition Platform to Power the Future of AI
Deep Learning

The World's First Cognition Platform to Power the Future of AI

"The final missing piece in AI is Visual Cognition and Understanding. In order for this dream to be realized, it takes more than winning scores at classifying ImageNet."At the Deep Learning Summit...

  • Nikita Johnson
    Nikita Johnson
11 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
Predictions for Virtual Assistants in 2017
Machine Learning

Predictions for Virtual Assistants in 2017

Now that 2017 has officially started, we are looking forward to exploring the latest technologies and how they will impact our lives. It's clear that AI will infuse everything and it's expected to...

  • Diane Bédat
3 January 2017
New Year Discount on All RE•WORK Summits
Deep Learning

New Year Discount on All RE•WORK Summits

To celebrate the New Year, we are providing a 20% discount on all summit passes. This offer will be valid from 26 December to 6 January. Simply enter the code NEWYEAR at the...

  • Charlotte Utting
21 December 2016
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
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