Deep learning is the fastest growing field in machine learning and is used to solve many big data problems such as computer vision, speech recognition, and natural language processing. It’s used across multiple industries and as a method of overcoming real world problems like preventing disease, building smart cities, revolutionising analytics and so much more.
Whilst deep learning is being adopted by businesses of all shapes and sizes, it can be overwhelming. Until very recently, its implementation has only been realistic for large companies with access to huge amounts of data such as images, signals and text to provide to the machine in order for it to learn. Smaller businesses or researchers who have limited historical data have previously been missing out; however there are ways of overcoming this barrier to implement deep learning methods.
Topics: Machine Learning, Deep Learning Algorithms, Deep Learning, A I
Last week we took a look at how AI can help alleviate the stress of travelling with companies such as Skyscanner, Airbnb and Trivago there to help. Planning your travel and accommodation is step one, but there’s so much more prep that always gets left to the last minute. When was the last time you got your suitcase out to pack and realised not only did you have no holiday appropriate clothes, but you also didn’t have your music library sorted for that long journey and those lazy mornings by the pool, and what about entertaining the kids? Should have started thinking about movies for them last week.
Topics: Machine Learning, Deep Learning, A I, Deep Learning Summit
With virtual assistants and robots becoming more intelligent every day, it’s easy to forget what sets us apart. Emotions, reason, our ability to make mistakes, love and care.
Whilst robots can display these characteristics, they are learning rather than feeling. Industry robots build our cars and laptops, rehabilitation robots help people walk again, machine teaching assistants can answer questions, machines can compose music. But they’re still not human.
Topics: Machine Learning, Humanoid Robots, Deep Learning, Computer Vision
Often, we only end up in hospital if something’s already wrong with us. But what if we were able to prevent these unpleasant trips by receiving preventative treatment through prior diagnoses. Whilst the aim of medicine is to ‘prevent disease and prolong life, the ideal of medicine is to eliminate the need of a physician.’
Until recently, this has not been possible, but with the next wave of technological progressions in AI, healthcare organisations are beginning to implement deep learning and machine learning methods to prevent illnesses, improve analysis, cure diseases, and predict future health issues.
Topics: Deep Learning, A I, Healthcare, Deep Learning Summit
Who doesn’t love a summer holiday? Whether it’s a staycation, or you’re packing up the whole family to jet off for some summer sun, it’s something we look forward to all year. Until you remember that it’s actually a bit of a logistical nightmare.
Where are you going? Have you booked? How are you going to get there? Got some music to listen to on the way? Summer wardrobe ready? Got the camera ready to go?
Topics: Machine Learning, Deep Learning, A I, Smart Transport
For the past three years RE•WORK have hosted the Deep Learning Summit in San Francisco, and we are coming back again this 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 summit with over 1000 attendees.
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. Although these events have been expanded due to popular demand they have previously sold out, so register now to guarantee your spot.
Topics: Deep Learning, Virtual Assistant Summit, A I, Deep Learning Summit
There are an increasing number of female entrepreneurs in technology with CEO’s and COO’s like Sheryl Sandberg of Facebook, and Susan Wojcicki of Youtube leading the way, but it isn’t enough to break the stereotype of a male dominance in the industry. In the UK fewer than 10% of computing engineers are women, and there are over 13,000 more male than female students in computer science.
But why does it matter?
Topics: Deep Learning Algorithms, Deep Learning, Healthcare, Deep Learning Summit
Despite constant concern that technology is eliminating the need for human interaction in daily life, high street shopping is still very much alive. Companies like Amazon may be without physical stores but the want to nip into a retailer to pick something up as you’re passing by or to try on ten or even twenty different pairs of shoes at once go won’t go away. At least not in the foreseeable future. So how is AI enhancing the retail experience, both on and offline?
Topics: Neural Networks, Deep Learning, A I, Augmented Reality
Whilst a new study carried out by Verto Analytics revealed that phone based virtual assistants saw declines in terms of monthly users, it would appear that those which cater to home devices grew. Siri may still be the most widely used personal assistant with around 41.4 million users, but it’s monthly users dropped by 15% on this time last year. In comparison, the monthly unique users of Google and Alexa have substantially increased with Alexa’s user figures increasing by more than 200%.
Regardless of this shift in device preference, virtual assistants are on the rise, and as their intelligence improves they are being used as solutions to a multitude of problems not only for personal use on your phone and in the home, but in a variety of businesses and industries.
Topics: AI Assistants, A I, Deep Learning Summit, Natural Language Understanding
Google DeepMind, the ‘world leader in artificial intelligence research and its application for positive impact’, have created a AI that has learned to walk without any prior guidance. The figure moves through virtual environments with the goal of one day helping robots to navigate in complex and unfamiliar spaces environments.
But what does this mean?
Topics: Deep Learning, A I, Deep Learning Summit, Reinforcement Learning