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Facebook AI Research
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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.
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
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.
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.
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.
“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.
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.
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.
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.
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?
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.
Natural Language Processing
Set in downtown lower Manhattan, this contemporary hotel is a 5-minute walk from Wall Street and One World Trade Center.
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
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
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
25 May 2017, Boston
The Deep Learning in Healthcare Summit will explore recent breakthroughs in technical advancements and healthcare applications, from algorithms that learn to recognise complex patterns within rich medical data, to analysing real world evidence for personalised medicine, to discovering the sequence specificities of DNA- binding proteins and how it can aid genome diagnostics.
25 May 2017, Boston
The Deep Learning Summit is the next revolution in artificial intelligence. 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.
01 June 2017, London
The Deep Learning in Finance Summit is a multidisciplinary event bringing together data scientists, engineers, CTOs, CEOs & leading financial corporations to explore the impact of deep learning in the financial sector. Applications include identifying and preventing risks, revolutionising financial forecasting & compliance. Explore the latest technology trends & innovations with influential research scientists, startups & business leaders across the industry.