Last week at the Machine Intelligence Summit in Amsterdam, the NVIDIA Deep Learning Institute ran a hands on workshop for developers, data scientists, and engineers designed to help attendees get started with training, optimising, and deploying neural networks to solve real-world problems across diverse industries such as self-driving cars, healthcare, online services, and robotics. I sat in on the session to learn more...
Topics: Machine Learning, Deep Learning, A I, Machine Intelligence Summit
We are excited to announce the attendance of the ‘world leader in artificial intelligence research and its application for positive impact’, Google DeepMind. Back in 2010 some of the most successful technology minds in the world founded DeepMind which was then acquired by Google in 2014. At the Deep Learning Summit, both Irina Higgins and Jörg Bornschein, Research Scientists from DeepMind will be presenting their current work and the most current cutting-edge progressions in deep learning.
Topics: Machine Learning, Deep Learning Algorithms, Deep Learning, AI Assistants
London Tech Week showcased the diversity of technology research and production in the capital. From the ‘real-life Iron Man’ with his jet powered suit, to pioneering research in deep learning, some of the very best products were showcasing their recent achievements. We met up with several past attendees from our RE•WORK summits and heard about their latest research and breakthroughs.
Topics: Machine Learning, Deep Learning, A I, Healthcare
‘We hear about self-drive cars all the time, but you know what’s really cool, autonomy for aircraft!’ Electric aircrafts that are currently in circulation have ‘a fantastic property in that they’re quieter than helicopters, but can still land in the same space’. These electric machines, however, they still require a pilot, ‘so what do we do? We make them autonomous.’ Human error is the biggest cause of aviation accidents, so Airbus concluded that ‘electrically operated aerial vehicles combined with more autonomous features are far safer’ than human operated planes.
‘Whilst drones are reaching higher levels of autonomy than aircrafts, they aren’t built to the same autonomy as personal aircrafts. Occasionally drones fall out of the sky - reliability and safety levels are far below what would be considered acceptable for human transport.’
Topics: Machine Learning, A I, Connected Car, Autonomous Vehicles
AI is a consistent point of discussion both in the news and amongst academics and businesses, but what is the ratio of hype to real progress? Billions of dollars are currently being invested in AI and these technologies are progressing faster than ever with self-driving cars, virtual assistants, and robots becoming part of our everyday lives. We heard from some of the leading minds in Machine Intelligence in Amsterdam today who revealed some key progressions in their research. What did we learn, and what did you miss today?
See what Google, DFKI, Scyfer and more had to say.
Topics: Machine Learning, Deep Learning, A I, Robotics
Ride-sharing services are transforming urban mobility by providing timely and convenient transportation to anybody, anywhere, and anytime. Thanks to the global popularity of apps like Lyft and Uber, there are now hundreds of thousands of ride-share drivers, millions of users and billions in VC funding for apps and companies in the industry, despite the dominating companies being only 4-5 years old. But how will autonomous vehicles fit into real-time high-capacity ridesharing?
Topics: Machine Learning, Computer Vision, Smart Transport, Connected Car
As a society, we are increasingly focused on health and wellbeing with influences from the media and influencial professions ever present. This has prompted a huge rise in wearable technologies as a method of keeping track of elements such as activity level and calorie intake. With their built in reminders and personalised features, products such as the Apple Watch, FitBit, and Garmin have opened a new market for technology and fitness.
Fitness apps compatible with the hardware are ever popular, and seemingly being rolled out in abundance. But what makes these fitness products stand out? And how are you supposed to stick to your chosen platform once you’ve signed up?
Topics: Machine Learning, Deep Learning, A I, Healthcare
Following on from our hugely successful Machine Intelligence Summit and Machine Intelligence in Autonomous Vehicles Summit in San Francisco earlier this year, the RE•WORK team are in the final stages of preparation to bring the European edition of this event to Amsterdam this June 28-29. Over the past months the we have been reaching out to the leading minds in machine intelligence to curate a diverse collection of speakers covering a variety of topics.
Topics: Machine Learning, A I, Autonomous Vehicles, Machine Intelligence Summit
Whilst the term ‘augmented reality’ (AR) was coined in the 90s by Boeing researcher Tom Caudell, it’s emergence in customer facing products is still relatively new. Over the past year, numerous smartphone apps have released AR features - think Pokemon Go, Snapchat, and other similar games. These apps allow you to layer a virtual world on top of the real world in front of you. Researchers are currently moving towards embedding AR in everyday life. Whilst the Google Glass didn't receive the acclaim that had been hoped, the technology is there and the ability to disrupt and enhance the world around us with augmented additions is approaching.
With a practical application of AR, L’Oreal have created an app that allows customers to take photographs of themselves and ‘try on’ different products to assess whether they’d be interested in purchasing them.
Topics: A I, Augmented Reality, Virtual Reality, Machine Intelligence Summit
Artificial intelligence is changing our world, and deep learning is a crucial part in attaining this. Deep learning is considered a branch of Machine Learning, with the aim of moving machine learning closer to Artificial Intelligence. It has enabled artificial intelligence to be applied practically, breaking down tasks to help machines understand and perform without being assisted. Advancing the field of deep learning is crucial to progress and breakthroughs within the technology.
Topics: Deep Learning, NLP, Computer Vision, A I