As artificial intelligence continues to be adopted by businesses of all shapes and sizes, tech giants such as Google, Facebook, Apple and Microsoft are investing in AI startups left, right and centre. It can be assumed that a hiring someone to lead the AI strategy and research is paramount to the success of the company. You’d be hard pressed to find a serious tech company that doesn’t have an AI team in place, and millions of dollars are being pumped into intelligent systems and solutions. Companies are no longer just hiring AI experts, but their entire business strategies centralise around their application.
Topics: Deep Learning, A I, Deep Learning Summit, Business Case Studies
The Deep Learning Summit took place in Montreal last week where we learned from the leading minds in AI & Deep Learning, including the AI pioneers themselves: Yoshua Bengio, Yann LeCun and Geoffrey Hinton. Hoping that our attendees enjoyed the summit as much as we did, we collected feedback throughout the event and are happy to share it with you!
We first met attendees during the pre-registration drinks that took place the evening before the event. It was an opportunity for them to collect their badges and enjoy an evening of networking in the lounge of the Hyatt Regency in Montreal.
Topics: Deep Learning, A I, Deep Learning Summit
Neural networks have become proficient in many areas from image and voice recognition, to the understanding of natural language. Over the past years their accuracy has improved to a level almost comparable to humans. There are, however, still many tasks that neural networks are unable to carry out - think about human creativity for example. Training a machine to compose a piece of music or paint a picture requires a different set of training skills. Back in 2014, Ian Goodfellow first introduced Generative Adversarial Networks (GANs) which are able to build on their training in an unsupervised manner, analysing past mistakes or short fallings and building on them to improve the results. The GANs are built of two components, the generator neural network (the trainee), and the discriminator neural network (the trainer).
Topics: Neural Networks, Machine Learning, Deep Learning, A I
Last week saw the Deep Learning Summit coming to Montreal for the first time. As Canada’s reputation as a leading hub for AI grows, we were shown not only from the interest in the event, but the calibre of attendees and speakers that this reputation has a strong foundation. As well as bringing together the three pioneers of AI in an exclusive and debut panel discussion together, there were interactive workshops, panel discussions, and presentations from global AI leaders. On the second day of the summit we brought together academics, venture capitalists and startups to share their views on the progress of AI in Montreal itself.
Topics: Deep Learning, A I, Deep Learning Summit, Economic Impact
Over the last few days, the RE•WORK team have been here in Montreal, the Canadian AI capital, where we’ve heard from experts from some of the leading research hubs and companies from across the globe. We’ve been joined by AI pioneers Yoshua Bengio, Yann LeCun and Geoffrey Hinton who shared their most recent research advancements and also appeared on an exclusive panel discussion, talking about the landscape of AI.
Topics: Machine Learning, Deep Learning Algorithms, Deep Learning, Deep Learning Summit
It’s not every day that the ‘Godfathers of AI’ appear together at the same event, let alone in the same panel discussion. At the Deep Learning Summit in Montreal today, we saw Yoshua Bengio, Yann LeCun and Geoffrey Hinton come together to share their most cutting edge research progressions as well as discussing the landscape of AI and the deep learning ecosystem in Canada.
Joelle Pineau from McGill University who was moderating the discussion by asking each pioneer to introduce their neighbour, which immediately generated a laugh from the packed auditorium.
Read the full interview...
Topics: Neural Networks, Deep Learning Algorithms, Deep Learning, A I
Historically, technology and scientific research has been a vastly male dominated sector. In recent years, the rise of female CEOs in companies such as CEO of Yahoo, Marissa Mayer and CEO of YouTube, Susan Wojcicki, has improved the gender balance, but encouraging young women into careers in artificial intelligence and computer science is still a struggle.
Tonight, at the Women in Machine Intelligence Dinner in Montreal, we will hear from inspirational women working in AI and learn about not only their research progressions, but their place as women in the industry.
Topics: Machine Learning, Deep Learning, Women in Tech, International Day of Women and Girls in Science
Emotions are one of the things that set humans apart from machines. In everyday life, we experience countless alterations in mood affected by a variety of factors both internally and externally. This is something unique to us that machines are incapable of. We know, however, that machines can be taught to have an intelligence often superior to our own which makes them ideal for carrying out certain tasks and jobs. Take the medical industry for instance - a machine is able to diagnose a disease or illness with more precision and in less time than a human doctor - but how would you feel about getting therapy from a robot?
Topics: AI Assistants, A I, Healthcare, World Health Day
Twenty Billion Neurons, who ‘build advanced machine learning systems that understand video’ announced a breakthrough in their technology at the RE•WORK Deep Learning Summit in Montreal. As humans, we process the world and solve intelligent tasks largely through common sense - something that can’t be programmed into a computer. At TwentyBN, the team are working to teach machines to understand the physical world through the development of ground-breaking technology that allows machines to perceive the world like humans.
At the summit in Montreal this morning Roland Memisevic, Chief Scientist, announced that earlier this week the team had a breakthrough in their lab:
“Our video systems are now able to accurately recognize highly complex human behaviours in video, which had been entirely unthinkable until now (think “imagenet for video”).”
Topics: Deep Learning, A I, Image Retrieval, Image Analysis
This week at the Deep Learning Summit in Montreal, there will be three workshops for attendees to participate in. These interactive sessions have just been added to the agenda, and they will provide a platform for discussions on the cognitive era, AI strategy for the workplace and explainable by design AI. Entrepreneurship, technology and science will come together to solve some of the world's greatest challenges. The world's leading figures in the industry will be presenting at the summit including Yoshua Bengio, Yann Lecun and Geoffrey Hinton.
Topics: Deep Learning Algorithms, Deep Learning, Deep Learning Summit, Human-Computer Interaction