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Deep Learning Algorithms

A collection of 146 posts

Exploring the Latest Machine Learning Trends & Techniques
Deep Learning

Exploring the Latest Machine Learning Trends & Techniques

Last month we held our first New York event! The Machine Intelligence Summit explored the latest advancements in AI and machine learning, from the theory of new technologies to their real-world applications.  Over...

  • Nikita Johnson
    Nikita Johnson
25 November 2016
Catalyzing Deep Learning’s Impact in the Enterprise
Deep Learning

Catalyzing Deep Learning’s Impact in the Enterprise

Deep learning is in the early stages of unlocking tremendous economic value outside its impact in large technology companies. While the algorithms have revolutionized consumer experiences in domains as varied as speech interfaces,...

  • Nikita Johnson
    Nikita Johnson
10 November 2016
Learning to Rank with Deep Visual Semantic Features
Machine Learning

Learning to Rank with Deep Visual Semantic Features

Search is an important problem for modern e-commerce platforms such as Etsy. As a result, the task of ranking search results automatically is a multi-billion dollar machine learning problem.  At the Machine Intelligence...

  • Nikita Johnson
    Nikita Johnson
2 November 2016
Democratising Deep Learning: The Data Delusion
Big Data

Democratising Deep Learning: The Data Delusion

Neil Lawrence is Senior Principal Scientist at Amazon, and Professor of Machine Learning at the University of Sheffield. His main technical research interest is machine learning through probabilistic models, with focuses on both...

  • Nikita Johnson
    Nikita Johnson
26 October 2016
Forget Algorithmic Trading, This Startup Has Created an A.I. Analyst
Machine Learning

Forget Algorithmic Trading, This Startup Has Created an A.I. Analyst

Although automation is not new in the stock market world, recent advancements in machine intelligence are enabling new techniques and tools using applied AI in the finance industry.Shaunak Khire is Co-­founder...

  • Yulia Ivanova
20 October 2016
Video Interview With SwiftKey Founder & CTO Ben Medlock
Deep Learning

Video Interview With SwiftKey Founder & CTO Ben Medlock

As co-founder and CTO of SwiftKey, Ben Medlock invented the intelligent keyboard for smartphones and tablets that has transformed typing on touchscreens. SwiftKey's smart typing technology learns from each user to more accurately...

  • Nikita Johnson
    Nikita Johnson
13 October 2016
Top 10 Topics Not To Be Missed at the Machine Intelligence Summit
Deep Learning

Top 10 Topics Not To Be Missed at the Machine Intelligence Summit

The artificial intelligence market is growing rapidly, and companies are now looking to invest in technologies that can help them gain a competitive edge in business. What are the latest breakthroughs in machine...

  • Nikita Johnson
    Nikita Johnson
6 October 2016
Computational Sustainability: Mapping Poverty with AI
Machine Learning

Computational Sustainability: Mapping Poverty with AI

Policies for sustainable development can entail complex decisions about balancing environmental, economic, and societal needs, and making these decisions in an informed way presents significant computational challenges.  Modern AI techniques combined with new...

  • Nikita Johnson
    Nikita Johnson
4 October 2016
Should We Give Chatbots Their Own Personalities?
Neural Networks

Should We Give Chatbots Their Own Personalities?

Today, we have machines that assemble cars, make candy bars, defuse bombs, and a myriad of other things. They can dispense our drinks, facilitate our bank deposits, and find the movies we want...

  • Nikita Johnson
    Nikita Johnson
2 October 2016
Why Genomic Medicine Needs Deep Learning
Deep Learning

Why Genomic Medicine Needs Deep Learning

Brendan Frey is Co-founder and CEO of Deep Genomics, a company that aims to develop machine learning technologies to transform precision medicine, genetic testing, diagnostics and the development of therapies. His group has...

  • Nikita Johnson
    Nikita Johnson
30 September 2016
What Did You Miss at the Deep Learning Summit Last Week?
Big Data

What Did You Miss at the Deep Learning Summit Last Week?

On 22-23 September, over 500 founders, CTOs, business leaders, software engineers and entrepreneurs came together at the 2nd annual Deep Learning Summit in London, to explore the latest advancements in deep learning methods,...

  • Nikita Johnson
    Nikita Johnson
27 September 2016
Neural Attention: Machine Learning Meets Neuroscience
Deep Learning

Neural Attention: Machine Learning Meets Neuroscience

Neural attention has been applied successfully to a variety of different applications including natural language processing, vision, and memory. An attractive aspect of these neural models is their ability to extract relevant features...

  • Katie Pollitt
    Katie Pollitt
25 September 2016
Extracting Customer Insights with Machine Learning
Deep Learning

Extracting Customer Insights with Machine Learning

In its relatively short lifetime, Airbnb has had over 100 million guests, with over 40 million of those occurring in the past year. Naturally, this exponential growth is a challenge to deal with...

  • Nikita Johnson
    Nikita Johnson
20 September 2016
How We Built a Chatbot for Real People
Guest Blogs

How We Built a Chatbot for Real People

The App ecosystem is broken. There are millions of apps out there, and it is hard to find that one that suits you. Platforms do not seem to be investing enough in improving...

  • Roberta Lucca
18 September 2016
Video Interview With Deep Learning Expert Honglak Lee
Deep Learning

Video Interview With Deep Learning Expert Honglak Lee

Honglak Lee is Assistant Professor of Computer Science & Engineering at the University of Michigan. He received his Ph.D. from Computer Science Department at Stanford University in 2010, advised by Prof. Andrew...

  • Nikita Johnson
    Nikita Johnson
15 September 2016
Predicting Future Human Behavior With Deep Learning
Neural Networks

Predicting Future Human Behavior With Deep Learning

Carl Vondrick is a doctoral candidate and researcher at MIT, where he studies computer vision and machine learning. His research focuses include leveraging large-scale data with minimal annotation and its applications to predictive...

  • Yulia Ivanova
13 September 2016
Visual Question Answering Problems: Reasoning With Deep Learning
Deep Learning

Visual Question Answering Problems: Reasoning With Deep Learning

Ilija Ilievski is a PhD student at the National University of Singapore, studying interdisciplinary research in the intersection of vision and language. He believes question answering over multimodal data is the next frontier...

  • Katie Pollitt
    Katie Pollitt
4 September 2016
The Evolution of NLP: Natural Language Understanding
Deep Learning

The Evolution of NLP: Natural Language Understanding

Despite recent advances in AI, a deep understanding of natural language by machines still remains highly challenging. Antoine Bordes, Research Scientist at Facebook Artificial Intelligence Research (FAIR), is working to change this with...

  • Nikita Johnson
    Nikita Johnson
1 September 2016
Machine Intelligence Is Transforming Genomics & Precision Medicine
Deep Learning

Machine Intelligence Is Transforming Genomics & Precision Medicine

New applications for artificial intelligence technologies are rapidly emerging, with healthcare often touted as the industry to be most disrupted by AI.Scientists are now developing machine learning technologies to transform precision medicine,...

  • Nikita Johnson
    Nikita Johnson
30 August 2016
Facebook AI Research: Learning Physical Intuition by Example
Deep Learning

Facebook AI Research: Learning Physical Intuition by Example

Adam Lerer is Research Engineer at Facebook AI Research, where he works on distributed neural network training, computer vision, visual common sense, and graph embeddings. Prior to joining Facebook, Adam worked at D....

  • Nikita Johnson
    Nikita Johnson
25 August 2016
Embedded Deep Learning: Recent Advancements & Challenges
Deep Learning

Embedded Deep Learning: Recent Advancements & Challenges

Deep learning and convolutional neural nets have become state­ of ­the ­art techniques for solving many computer vision problems, but the compute intensiveness and large memory requirement of these algorithms make it challenging...

  • Katie Pollitt
    Katie Pollitt
23 August 2016
Is Humanising Chatbots the Next Inevitable Improvement?
Machine Learning

Is Humanising Chatbots the Next Inevitable Improvement?

Ashley Hathaway is Senior Developer Evangelist at IBM Watson, a company that has become renowned in recent years for their expertise in artificial intelligence and analytical software.   In 2011, Watson made headlines after...

  • Diane Bédat
16 August 2016
Exploring AI & Machine Intelligence With Google, Facebook, MIT & More
Machine Learning

Exploring AI & Machine Intelligence With Google, Facebook, MIT & More

Following the success of the inaugural RE•WORK Machine Intelligence Summit in Berlin, the summit is now coming to New York!On 2-3 November, over 200 attendees will come together in New York...

  • Yulia Ivanova
14 August 2016
Video Interview With Deep Learning Expert Yoshua Bengio
AI Pioneers

Video Interview With Deep Learning Expert Yoshua Bengio

Yoshua Bengio is a renowned figure in the deep learning field. His titles include Full Professor of the Department of Computer Science & Operations Research at the Université de Montréal, head of the...

  • Nikita Johnson
    Nikita Johnson
11 August 2016
How Can Computers Learn, See & Simulate Our World?
Deep Learning

How Can Computers Learn, See & Simulate Our World?

Data scientists and artificial intelligence (AI) researchers require accuracy, simplicity, and speed for deep learning success, as faster training and iteration ultimately means faster innovation and time to market. NVIDIA recently unveiled the...

  • Nikita Johnson
    Nikita Johnson
8 August 2016
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