As our Global Deep Learning Summit Series draws closer, we’re casting forward to the three track event in San Francisco in January 25 & 26. The 4th annual San Francisco Deep Learning Summit will be joined by the first ever Deep Learning for Enterprise Summit as well as the fifth global Virtual Assistant Summit.
This event has sold out for the past three years, so we have increased the capacity due to high demand: register here to hear from the likes of Google Brain, OpenAI and many more cutting-edge industry leaders.
Deep learning is advancing rapidly and holds great promise for analysing unstructured data, but there are obstacles in its implementation: it’s hard to do, it requires large amounts of data, and it uses a lot of processing power. (TechCentral) Pioneers in the industry are working to overcome this, and we are excited to hear from some of the leading industry professionals, academics, startups, and businesses in the field across the three track event.
Confirmed speakers for the Deep Learning Summit include Ian Goodfellow, Staff Research Scientist working in machine learning at Google Brain and one of the world’s leading AI researchers, and Andrej Karpathy, Research Scientist at OpenAI who has been referred to as ‘a central node in AI research dissemination’.
Ian, who is known best for inventing generative adversarial networks (GANs) has also contributed to several publications as well as authoring the textbook Deep Learning. GANs are AI algorithms used in unsupervised machine learning, implemented by a system of two neural networks competing against each other in a 'zero-sum game' framework which many AI-centric companies such as Facebook rely heavily on. Yann LeCun who oversees AI research at Facebook has called them 'the coolest idea in deep learning in the last 20 years.' Ian, who will talk about how his work is pushing towards fully unsupervised machine learning, states that 'what AI cannot create, it does not understand’.
Ian spoke at the Deep Learning Summit in San Francisco this January. Watch his presentation here.
At OpenAI, Andrej is currently working on DL in computer vision as well as generative modelling and reinforcement learning. Alongside his PhD and work at OpenAI, he has worked with Fei-Fei Li (Stanford) on convolutions/recurrent neural network architectures and their applications in computer vision, natural language processing and their intersection. Andrej also designed and taught the first DL course at Stanford class with Fei-Fei on Convolutional Neural Networks for Visual Recognition. This class has grown from 150 enrolled in 2015 to 330 students in 2016, and 750 students in 2017. At the Deep Learning Summit in January, we will hear about Andrej’s most current and cutting edge work.
Deep learning is emerging as one of the most important technologies in enterprise computing, and it is estimated that by 2024 the software market will have surpassed $10.4 billion.
We are launching this enterprise track to explore the advancement of deep learning applications in industries such as healthcare, finance, retail, manufacturing and utilities where research is progressing more rapidly than previously estimated. We will hear from pioneering minds and researchers using deep learning in enterprise to optimise business efficiency in areas including: risk analysis, demand and supply optimisation, sentiment analysis, and market targeting.
As part of this Summit we will hear from CEOs, product managers, data scientists and developers as well as founders and academic researchers working in the field. Over the coming months and years, AI in enterprise will continue to expand, and these discussions and presentations will reveal the emerging research and progressions in the space.
Previous speakers include: |
Melody Guan, Deep Learning Resident, Google Brain; Richard Socher, Chief Scientist, Salesforce; Bryan Catanzaro, VP of Applied Deep Learning Research, NVIDIA; Brendan Frey, Co-Founder & CEO, Deep Genomics and many more.
A complete list of speakers will be announced soon, so register now to avoid disappointment.
‘Virtual assistants can be a blessing to your business and boost productivity immensely. They can free you up from tedious tasks such as data entry, bookkeeping or updating contact lists at a cost that won't break the bank.’
The Virtual Assistant Summit will be exploring how AI and deep learning can be applied to create chatbots and conversational interfaces to create deeper, more personaliszd one-to-one customer experiences. Whilst VAs came to life in the 60s with sci-fi movies depicting humans with robotic assistants, the reality is far more practical and these VAs are being optimised to overcome real-world problems from monotonous tasks, to apps that can assist the disabled.
Past speakers on this track include: |
Lionel Cordlesses, Innovation Project Manager, Renault; Pilar Manchon, GM of Voice & Digital Assistance, Intel; Alonso Martinez, Technical Director, Pixar Animation Studios; Anjuli Kannan, Software Engineer, Google; Deborah Harrison, Editorial Writer, Cortana and many more.
Can't make it to San Francisco? Find out more about the other events in the Global Deep Learning Summit Series:
21 September 2017, London
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.
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?
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 and image analysis, as well as applications in sectors including manufacturing, transport, healthcare, finance and security.