Artificial intelligence (AI) is a budding field. Nowadays, many businesses are trying to figure out how to use it to their advantage. Indeed, AI can help reduce operational costs, improve efficiency, generate revenue, and enhance customer experiences. In an article for the Register, Danny Bradbury says that there's a chasm between many current AI deployments and a mature approach with sensible business benefits, and companies need to know how to get from here to there.
How can we create robots that can carry out important tasks in dangerous environments? Machine learning is supporting advances in the field of robotics. To find out more, we talked to Dr Rustam Stolkin, Royal Society Industry Fellow for Nuclear Robotics, Professor of Robotics at the University of Birmingham, and Director at A.R.M Robotics Ltd, about his work combining machine learning and robotics to create practical solutions to nuclear problems.
Almost a year ago QuantStart discussed deep learning and introduced the Theano library via a logistic regression example. Given the recent results of the QuantStart 2017 Content Survey it was decided that an up to date beginner-friendly article was needed to introduce deep learning from first principles.
GE for GE: Deploy the digital industrial blueprint to improve its own manufacturing operations through Brilliant Factories, internal and external supply chains with the asset management system called the Digital thread, and engineering design with machine-learning modeling software called the Digital twin.
Hannover, Germany, - 25 Apr 2017: ABB and IBM (NYSE: IBM) today announced a strategic collaboration that brings together ABB's industry leading digital offering, ABB Ability TM, with IBM Watson Internet of Things cognitive capabilities to unlock new value for customers in utilities, industry, transport and infrastructure.