For the past three years RE•WORK have hosted the Deep Learning Summit in San Francisco, and will be returning next January for what is set to be our biggest event to date. The event has grown from a single track summit to a triple stranded event with over 1000 attendees across the tracks.
|This year will see the sixteenth global Deep Learning Summit and the fifth global AI Assistant Summit joined by the first ever Deep Learning for Enterprise Summit. This event has been expanded due to popular demand, and previous editions have sold out well in advance. Register now to guarantee your spot in San Francisco January 25 & 26 at a discounted rate.|
As the event has grown we have welcomed new attendees, speakers and sponsors each year as well as returning attendees who continue to benefit from the wealth of knowledge and expertise year on year.
At previous editions of the Deep Learning Summit we’ve heard from the likes of Google, Facebook, Flickr, Baidu, Apple, Twitter, and countless other industry leads. Several of these experts will be returning in January to present their most current work in AI.
Last year Tony Jebara, Director of Machine Learning Research at Netflix spoke about the methods that they are employing to personalize content and image selections using machine learning to rank a large catalogue to determine the relevance of each title to each user, and also to identify the best way to present the top ranked images for each individual leader. Netflix can be overwhelming with thousands of titles to choose from, and Tony explained the importance of ‘tailoring recommendations to each user and each session within seconds and within a menu of 10 to 20 visible options.’ This is a tall order and achieving a successful recommendation relies on a system which is ‘really an ecosystem of many machine learning algorithms that operate together.’
As the capabilities of machine learning progress, as do the capabilities of Netflix’s models, and next January we will hear about the advancements that they have made in the past 12 months from Yves Raimond, who has taken over Tony’s role as he continues his work at Columbia University. Yves will explore how the challenges in serving relevant content to all their subscribers in different countries boils down to four things: availability, awareness, language, and tracking. To hear about the cutting edge research and advancements at Netflix in January register to confirm your place.
Not all event attendees are experts in AI and deep learning, and the summits can be a great way to find your footing in the sometimes overwhelming space. Earlier this year we heard from Jacob Miller, lead programmer from Circle Computer Resources who attended the summit:
"I'm new to DL. Just being able to interact with other attendees and finding my place in DL was highly valuable."
As well as networking with other attendees it’s not uncommon for startups and more experienced industry professionals to connect around their research and ideas. Last year, Ian Goodfellow who at the time was working at Open.AI ‘had the opportunity to meet with the head of a prominent VC firm and found out about startups that would like [him] to be their technical advisor.’
At all RE•WORK summits, attendees are free to watch presentations and attend panel discussions across all tracks, and this January our first three track event has a diverse agenda. As deep learning is becoming more accessible, smaller companies are increasingly keen to be a part of this growing landscape. At the Deep Learning for Enterprise Summit we will hear about the practical applications of deep learning to your businesses and reveal new insights to optimize efficiency.
Maximising the potential of deep learning are Tractable, a young London-based startup who have previously presented at the Deep Learning Summit. Co-Founder & CEO Alex Dalyac and his team are bringing the most recent breakthroughs in AI to industry by using deep learning in image classification to transform industries that suffer from slow or expensive visual inspections. Their algorithm can learn to recognise anything on an image that an expert can at a fraction of the speed and cost. Industries of all varieties are benefiting from the model; insurers are able to rescue faster, healthcare professionals can detect pathologies before it’s too late, plumbers can accurately predict timelines of maintenance, and unnecessary costs can be cut across the board.
Previous speakers also include Melody Guan, Deep Learning Resident, Google Brain, Richard Socher, Chief Scientist, Salesforce, Ilya Sutskever, Research Director, OpenAI, and many more. The full list of speakers from the Deep Learning Summit 2018 will be announced soon, but view the already confirmed speakers here.
As AI improves and models become more and more human-like, it’s easy to forget that we’re conversing with machines on a daily basis. We use Siri, Cortana, Alexa and countless other intelligent assistants as well as interacting with online chatbots. Whilst these interactions have improved hugely since their conception there are still obstacles that prevent users having experiences that they want to continually engage with. At the AI Assistant Summit we will hear from companies such as AdmitHub, Autodesk, and My Ally who are working to overcome this and create the most human-like personalized bots to optimize efficiency and save money.
Last year we heard from Oren Jacob, Co-Founder & CEO of Pullstring who spoke about the personification of virtual characters and assistants to create experiences that audiences want to continually engage with.
You can watch Oren’s presentation here for a taster of the types of discussions and presentations that will take place in January.
Interested in seeing more from our previous San Francisco Summits?