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Neural Networks

A collection of 68 posts

AI & Deep Neural Networks - An Interview with Sara Hooker of Google Brain
Women in AI

AI & Deep Neural Networks - An Interview with Sara Hooker of Google Brain

This podcast is with Sara Hooker, Researcher at Google Brain. Sara discusses her current research and role at Google Brain, diversity & inclusion in AI, and advice for those starting out in the field....

  • Mia Clarke
    Mia Clarke
16 February 2021
How is OpenAI tackling AI?
AI Pioneers

How is OpenAI tackling AI?

We sat down with Chief Scientist and Co-Founder of OpenAI, Ilya Sutskever, to discuss the current challenges faced across industry in regard to Deep Learning and some of the advancements on the horizon....

  • Ellie Lucy
    Ellie Lucy
7 November 2019
The Complete Guide to Machine Learning
AI for Beginners

The Complete Guide to Machine Learning

AI is used to develop smart chatbots for day-to-day marketing and sales tasks. It’s used for natural language processing and helping machines understand the nuances of human language. AI is even behind many of today’s advances in robotics and smart healthcare....

  • Guest Blog
    Guest Blog
6 August 2019
Deep Learning: Top 10 Resources for Beginners
Deep Learning

Deep Learning: Top 10 Resources for Beginners

If you're working in AI and already have a solid foundation, you may be looking towards DL models. As a collaborative community spearheaded by the likes of Google, open-sourcing is an incredibly useful and popular tool when starting out. Here are our top 10 resources for getting started in:...

  • Nikita Johnson
    Nikita Johnson
28 June 2019
Deep Learning in Montreal: Yoshua Bengio, Yann LeCun, Geoffrey Hinton Panel
AI Pioneers

Deep Learning in Montreal: Yoshua Bengio, Yann LeCun, Geoffrey Hinton Panel

At the Deep Learning Summit in Montreal in October 2017, we saw Yoshua Bengio, Yann LeCun and Geoffrey Hinton come together to share their most cutting edge research progressions as well as discussing the landscape of AI and the deep learning ecosystem in Canada....

  • Pip Curtis
    Pip Curtis
19 June 2019
Second Order Acceleration: Making Faster Neural Networks, Faster
Deep Learning

Second Order Acceleration: Making Faster Neural Networks, Faster

The emergence of deep learning and AI technologies on mobile and embedded devices has created exciting new possibilities for applications such as detecting cancers, self-driving cars and smart homes. However, developing robust Deep...

  • Davis Sawyer
30 April 2019
How AI Techniques Can Improve Customer Experience In Fashion Domain
Deep Learning

How AI Techniques Can Improve Customer Experience In Fashion Domain

FalconAI is a VC backed start-up developing cutting-edge AI in esports and fashion domains. Our team includes top AI researchers and engineers located in Boston and Istanbul. Our aim is to make human...

  • Nikita Johnson
    Nikita Johnson
16 April 2019
Discover Examples of Practical Applications of Deep Learning
Deep Learning

Discover Examples of Practical Applications of Deep Learning

Global experts in both industry and academia will once again come together at the Deep Learning Summit & Deep Learning in Healthcare Summit in Boston, 23 & 24 May, to explore the latest...

  • Katie Pollitt
    Katie Pollitt
8 April 2019
Can we train machines without examples? Interview with Ian Goodfellow
Deep Learning

Can we train machines without examples? Interview with Ian Goodfellow

Neural networks have become proficient in many areas from image and voice recognition, to the understanding of natural language. Over the past years their accuracy has improved to a level almost comparable to...

  • RE•WORK
    RE•WORK
7 December 2018
Deep Learning Summit San Francisco 2019 - What Is New?
Deep Learning

Deep Learning Summit San Francisco 2019 - What Is New?

We are excited to be coming back to San Francisco on the 24 & 25 of January for the annual Deep Learning Summit. RE•WORK has been growing year on year and this...

  • Ellie Lucy
    Ellie Lucy
6 December 2018
Why Are We Content With Making Videos Unwatchable?
Deep Learning

Why Are We Content With Making Videos Unwatchable?

Here is a scenario: you register for a webinar but cannot attend it. You get a recording of that webinar and it languishes in your inbox because you just can't seem to find...

  • Manish Gupta
4 December 2018
The Shared History and Vision Behind the MIT-IBM Watson AI Lab
Neural Networks

The Shared History and Vision Behind the MIT-IBM Watson AI Lab

Artificial Intelligence (AI), perhaps more than any human invention before it, holds the potential to reshape our world. In just the last few years, we have seen a new explosion of AI development,...

  • David Cox
17 October 2018
The Public Service Algorithm: Personalization at the CBC
Neural Networks

The Public Service Algorithm: Personalization at the CBC

We're building something different at the CBC: A recommendation system, not powered by the bottom line, that uniquely presents relevant and valuable content to our audience. Our goal: a better personalized experience and...

  • Jason Cornell
15 October 2018
Word2vec Explained
Deep Learning

Word2vec Explained

The power of word vectors is an exploding area of research that companies such as Google and Facebook have invested in heavily, given its power of encoding the semantic and syntactic meaning of...

  • Sandeep Rathod
18 September 2018
How Algorithmic Advances Make Power-Efficient AI possible
Deep Learning

How Algorithmic Advances Make Power-Efficient AI possible

Pioneering Bayesian deep learning for model compression and quantizationQualcomm Technologies is inventing technology at scale to realize the promise of AI on trillions of connected devices, which will enrich people’s lives and...

  • Max Welling
28 August 2018
Women in AI Dinner, London: Highlights
Deep Learning

Women in AI Dinner, London: Highlights

While the nation was watching England in the FIFA World Cup, we hosted an evening of networking and presentations at the Women in AI Dinner, London. Joined by guests from industry and academia...

  • Pippa Bowker
12 July 2018
Detecting Anomalies in Time Series Data
Deep Learning

Detecting Anomalies in Time Series Data

Detecting anomalies in time series data has become an interesting field of research over the last several decades. This field detects irregular or unexpected patterns throughout time intervals; patterns that often contain meaningful...

  • Narine Kokhlikyan
23 April 2018
Wearables, Algorithmic Fairness and Image Recognition: What You Missed at the Women in AI Dinner
Neural Networks

Wearables, Algorithmic Fairness and Image Recognition: What You Missed at the Women in AI Dinner

Last night at the Women in AI dinner in London, we brought together leading female minds working in AI to discuss algorithmic fairness, unused local computational opportunities, image recognition and other topics.The...

  • Jenny Donoghue
21 February 2018
Q&A, Junhyuk Oh, ‘Task Generalisation with Deep Reinforcement Learning’
Deep Learning

Q&A, Junhyuk Oh, ‘Task Generalisation with Deep Reinforcement Learning’

The ability to generalise over new tasks is incredibly important in research when aiming to build scalable reinforcement learning agents. At the Deep Learning Summit in San Francisco this January 25 & 26,...

  • Nikita Johnson
    Nikita Johnson
28 November 2017
Interview: Yoshua Bengio, Yann LeCun, Geoffrey Hinton
AI Pioneers

Interview: Yoshua Bengio, Yann LeCun, Geoffrey Hinton

For the first time ever, RE•WORK brought together the ‘Godfathers of AI’ to appear not only at the same event, but on a joint panel discussion....

  • RE•WORK
    RE•WORK
10 October 2017
Deep Learning in Genomics: 5 Questions with Google Brain's Jasper Snoek
Deep Learning

Deep Learning in Genomics: 5 Questions with Google Brain's Jasper Snoek

Google Brain are working to ‘make machines intelligent’ and to ‘improve people’s lives’ by tackling the most challenging problems in computer science. At the Deep Learning Summit in Montreal this October 10...

  • Nikita Johnson
    Nikita Johnson
28 September 2017
The Challenges of Artificial Intelligence in Retail
Deep Learning

The Challenges of Artificial Intelligence in Retail

Despite constant concern that technology is eliminating the need for human interaction in daily life, high street shopping is still very much alive. Companies like Amazon may be without physical stores but the...

  • Nikita Johnson
    Nikita Johnson
24 July 2017
Deep Learning Glossary: Part 1
Deep Learning

Deep Learning Glossary: Part 1

Deep learning is being applied extensively within all the tools that we use in everyday life, mobile phones, computers and even coffee machines. Therefore it is important to understand how the technology works....

  • Eunice Ma
11 June 2017
The Future of Investment in AI Could Be Decided By AI Itself
Neural Networks

The Future of Investment in AI Could Be Decided By AI Itself

Many believe that artificial intelligence is set to reshape global economies and society, with AI expected to double economic growth. But what are the opportunities and challenges to investing in the current world...

  • Leonie Philipp
4 June 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
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