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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
Deep Learning for AI: Takeaways from Yoshua Bengio
Big Data

Deep Learning for AI: Takeaways from Yoshua Bengio

At the Deep Learning Summit, Boston 2016, Yoshua Bengio  took us through the evolution of Artificial Intelligence (AI) - how it started with supervised learning, its progression to Machine Learning with speech recognition...

  • Chloe Pang
25 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
Deep Learning at the Front Lines of Healthcare
Deep Learning

Deep Learning at the Front Lines of Healthcare

Today’s healthcare system was not built for a seamless integration of rapidly emerging technologies, such as machine learning innovations. Health data is largely inaccessible and not standardized, making it challenging to work...

  • Nikita Johnson
    Nikita Johnson
17 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
Deep Learning for Analyzing Perception of Human Appearance
Deep Learning

Deep Learning for Analyzing Perception of Human Appearance

Deep learning techniques can be used to extract facial imaging biomarkers of human health status and to track the effects of cosmetic interventions. At the Deep Learning in Healthcare Summit, Research Scientist, Anastasia...

  • Katie Pollitt
    Katie Pollitt
10 February 2017
International Day of Women & Girls in Science
Networking

International Day of Women & Girls in Science

Saturday 11th February will mark International Day of Women and Girls in Science. This was a day declared by the UN in an effort to inspire & engage women to the field of...

  • Eunice Ma
10 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
The Emergence of Bring Your Own Agent (BYOA)
Virtual Assistant Summit

The Emergence of Bring Your Own Agent (BYOA)

Over the next half decade, we’ll witness the birth of truly intelligent vertical agents, each of which focuses on a single task and its flawless execution. As more of these come to...

  • Charlotte Utting
3 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
5 Reasons to Enter AI Development in 2017
Deep Learning

5 Reasons to Enter AI Development in 2017

Artificial intelligence is one of the most exciting scientific developments in human history. Only a decade ago, AI was a far-fetched fairy tale. Advancements in deep learning have propelled AI enthusiasts’ wildest dreams...

  • Ellie Martin
1 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
Chinese New Year Discount on RE•WORK Summits in Asia
Deep Learning

Chinese New Year Discount on RE•WORK Summits in Asia

To celebrate the Chinese New Year, we are providing a 20% discount on all summit passes. This offer will be valid from 25 January to 30 January. Simply enter the code NEWYEAR at...

  • Nikita Johnson
    Nikita Johnson
26 January 2017
The "Something Something" Video Dataset
Big Data

The "Something Something" Video Dataset

Neural networks trained on Datasets, like ImageNet, have recently led to major advances in visual object classification. The main obstacle that prevents networks from reasoning more deeply about scenes and situations, and from...

  • Nikita Johnson
    Nikita Johnson
25 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
A Virtual Personal Finance Specialist for the 99%
Virtual Assistant Summit

A Virtual Personal Finance Specialist for the 99%

"47% of Americans live on a financial cliff, unable to come up with $400 of cash in the event of an emergency."To address this problem, Abe.ai are introducing the concept of...

  • Diane Bédat
20 January 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
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
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