With successful development, self-driving car could be the most important breakthrough in the coming decades. As cities begin to make way for autonomous vehicles, the race is on to hone the technologies and infrastructure that will be paramount to a safe and smart new age of transport. Lex Fridman, Postdoctoral Researcher at MIT, shares his insights and expertise on self-driving cars.
Topics: Machine Learning, A I, Smart Transport, Connected Car
The discovery of exoplanets has fundamentally transformed our understanding of planets, solar systems and our place in the galaxy. With the vast amount of these planets discovered in recent years, characterising them is rapidly becoming a big data problem. As a solution, machine learning techniques that mimic human recognition and dreaming processes are being deployed in the search for habitable worlds beyond our solar system. We spoke to Ingo Waldmann, Senior Research Scientist at UCL, to learn more.
Topics: Machine Learning, Deep Learning, Machine Intelligence Summit, Machine Intelligence
Climate change is one of the most important problems facing humanity in the 21st century. For Earth Day 2017, we caught up with Prabhat, Group Lead for Data & Analytics at Lawrence Berkeley National Lab, to learn more about how artificial intelligence and data analytics are transforming climate science.
Topics: Sustainability, Earth Day, Big Data, Energy
The ability to successfully and consistently predict the stock market is, obviously, a gold mine which technologists have been working towards for many years. Thanks to recent rapid developments in deep learning algorithms, more individuals and companies are able rely on stock market forecasting from artificial intelligence, as the technology has begins to predict better than the pros. We spoke to Yaron Golgher, CEO and Co-founder of I Know First, to learn more about algorithmic forecasting.
Topics: Stock Market Prediction, Financial Forecasting, Deep Learning in Finance Summit, FinTech
As the race to create the first fully autonomous, road-safe vehicle continues, numerous road-blocks and challenges are pushing companies to find new innovative solutions. We asked Jia Qing Yap, Executive Lead & Deep Learning Engineer at OpenSourceSDC, who are building an open-source self-driving car in Singapore, for insights into what we can expect next.
Topics: Machine Learning, Neural Networks, Deep Learning, A I
Radiology requires countless hours searching for tiny lesions, creating distance and contour annotations, and filling out checklists to determine stages of disease - these tasks are onerous and error-prone, resulting in high costs and frequent misdiagnoses. Thankfully, the global impact of deep learning is now removing the tedium for radiologists. We spoke to Dan Golden, Director of Machine Learning at Arterys, to learn more.
Topics: Machine Learning, Deep Learning, Cloud Computing, Healthcare
Some experts believe financial markets are inherently inefficient, and are becoming more and more inefficient with time. More complicated models may be needed to capture dwindling opportunities in the future, and deep learning could be the key to helping companies make better predictions for success in the markets. We spoke to Shivaram Ramegowda, quantative analysis expert and former AVP at Societe Generale, to learn more.
Topics: Deep Learning in Finance Summit, FinTech, Data Analytics, Finance
For robots to successfully perceive and understand their environment, they must be taught to act in a goal-directed way. While mapping environments geometry is a necessary prerequisite for many mobile robot applications, understanding the semantics of the environment will enable novel applications, which require more advanced cognitive abilities. We spoke to Sven Behnke, Head of Autonomous Intelligent Systems Group at the University of Bonn, to learn more.
Topics: Humanoid Robots, Machine Learning, Deep Learning, A I
For this year's IoT Day on 9 April, we have a special offer for Internet of Things and Machine Learning enthusiasts in our community. Use the discount code IOTDAY to save 20% on all tickets for the Machine Intelligence Summit and Machine Intelligence in Autonomous Vehicles Summit in Amsterdam.
Topics: Connected Home, IoT, Connected Devices, Sensors
The world of startups is constantly moving and evolving. With the exponential growth of the Internet of Things (IoT) and automated technologies in recent years, innovative new companies are often funded, acquired and transformed from startups to industry leaders extremely quickly. For IoT Day (9 April) we caught up with Andrew Thomas, Co-founder and CRO of SkyBell, to learn more about the latest developments in the home automation industry.
Topics: Connected Home, Home Automation, IoT, Connected Devices