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Where machine learning meets artificial intelligence. The rise of intelligent machines to make sense of data.

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New research from FAIR, Facebook’s artificial intelligence research arm, might help to point the way. Last year the team introduced a new type of machine-learning model for language understanding, called “memory networks.” The idea was to combine machine learning algorithms with a sort of working memory, letting bots store and retrieve information in a way that’s relevant to a given conversation.

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In a large scale experiment using data from the online marketplace Etsy, we verify that moving to a multimodal representation significantly improves ranking quality. We show how image features can capture fine-grained style information not available in a text-only representation. In addition, we show concrete examples of how image information can successfully disentangle pairs of highly different

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Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have made an important new breakthrough in predictive vision, developing an algorithm that can anticipate interactions more accurately than ever before.

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A study published today in Nature aims to change this by using a big data and machine learning approach to make a genome-wide prediction of Autism spectrum disorder (ASD) genes. The first author of the study, Arjun Krishnan, told us how their results could help with the early diagnosis and treatment of ASD.

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New research from computer scientists at Princeton suggests that computers learning human languages will also inevitably learn those human biases. In a draft paper, researchers describe how they used a common language-learning algorithm to infer associations between English words.

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“Civil Maps’s scalable map generation process enables fully autonomous vehicles to drive like humans do—identifying on-road and off-road features even when they might be missing, deteriorated, or hidden from view and letting a car know what it can expect along its route,” explained Civil Maps CEO Sravan Puttagunta.

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Automation is not new to Wall Street. But Shaunak Khire, Emma’s creator, claims his system differs from current finance computing — high-frequency trading and “quant” data science — because its system of neural nets takes into account a more complex set of factors affecting stocks, like management changes or monetary policy in Europe, that other programs miss.

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In our last post, we presented semantic classification as a force for organization. By classifying both search keywords and ecommerce products to a shared taxonomy of concepts, businesses can improve the shopping experience by matching searches to results, regardless of ambiguities in word choice on either side of the equation.

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Why Attend

Extraordinary Speakers

Discover advances in machine learning and artificial intelligence from the world's leading innovators. Learn from the industry experts in speech & image recognition, natural language processing and computer vision. Explore how AI will impact transport, manufacturing, healthcare, retail and more.

Discover Emerging Trends

The summit will showcase the opportunities of advancing trends in machine learning and their applications in business and society. Machine intelligence is enabling applications including virtual assistants, robots to help assisted living, and identifying items in videos. What else can it solve?

Expand Your Network

A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the machine intelligence revolution. Learn from & connect with 250+ industry innovators sharing best practices to advance machine learning and AI impact and opportunities.

Who Should Attend

  • Chief Data Scientists
  • CTOs
  • Founders
  • Director of Engineering
  • CEOs
  • Data Engineers
  • Software Engineers

Join the discussion

  • 40 speakers
  • 250 leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7+ hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future

Downloads

View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.


Topics We Cover

  • Machine Learning

    Machine Learning

  • NLP

    NLP

  • Drones

    Drones

  • Deep Learning

    Deep Learning

  • Speech Recognition

    Speech Recognition

  • A I

    A I

  • Pattern Recognition

    Pattern Recognition

  • Robotics

    Robotics


Confirmed Attendees Include

  • PwC
  • harvard uni
  • Google
  • Cogniance
  • groupon
  • Comcast
  • Fujitsu
  • booking.com
  • capital one
  • Travelers
  • horizon investments
  • axon vibe
  • citigroup
  • intento
  • sony
  • Accenture
  • Intel
  • samsung
  • sas
  • Apple

Venue

New York

Set in downtown lower Manhattan, this contemporary hotel is a 5-minute walk from Wall Street and One World Trade Center.

View more information on hotels, restaurants, and things to do on our Pinterest page.

Travel Tips

Travel

Hotel Room Block

Discounted rooms available at the New York Marriott Downtown Hotel.

Register

This event is in the past. View upcoming events here. Or catch up on the Video Hub.

Partners

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Exhibitors & Startup Showcase Area


Media Partners & Press


What they say

Original

Chief Knowledge Officer, NASA

"Excellent event. Good combination of highly technical and broader presentation that gave me a good understanding of the current state and potential of the Deep Learning" RE•WORK Deep Learning Summit San Fran 2015

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Director of IoT Market Strategy, Xively

"'I’ve been to countless IoT events, and this was hands down one of the most interesting. It was nice to see actual people building actual connected products giving their perspective." RE•WORK IoT Summit Boston 2015

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Future & Emerging Technologies Unit

"RE•WORK provided a unique mix of technology, from the exploration of latest scientific findings to startups that can make them a reality" RE•WORK Technology Summit London 2014


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Future Events

Deep Learning Summit London

21 September 2017, London

The Deep Learning Summit is at the forefront of AI. Explore the impact of image & speech recognition as a disruptive trend in business and industry. How can multiple levels of representation and abstraction help to make sense of data such as images, sound, and text. Hear the latest insights and technology advancements from industry leaders, startups and researchers.

AI Assistant Summit London

21 September 2017, London

The next generation in predictive intelligence. Anticipating user & business needs to alert & advise logical steps to increase efficiency. The summit will showcase the opportunities of advancing trends in AI Assistants & their impact on business & society. What impact will predictive intelligence have on business efficiency & personal organization?

RE•WORK Deep Learning Summit Attendee Dinner

21 September 2017, London

Following day 1 of the summit, attendees will come together for an evening of networking, discussions and fine food & wine. Mix with leaders on topics including NLP, speech recognition, reinforcement learning and image analysis, as well as applications in sectors including manufacturing, transport, healthcare, finance and security.

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