PARC has been selected, alongside University at Buffalo, for a US Defense Advanced Research Projects Agency (DARPA) project to develop novel hybrid methods that combine multi-physics, equation-based models with data-driven machine learning models, such as Deep Neural Networks (DNNs), to enable predictive modelling of complex systems in the presence of imperfect models and sparse and noisy data.
Read MorePwC UK research estimates the economic and emissions impact of AI adoption for environmental purposes in agriculture, water, energy and transport.
Read MoreWith native support for IBM Z CICS and IMS, Dynatrace® now delivers end-to-end visibility and AI-powered answers from cloud to mainframe.
Read MoreAccording to a new study commissioned by Dell EMC, 87% of organisations agree that working with OEMs will help them prepare for an innovation-ready future and the next era of human-machine partnerships, while after working with OEMs, and over a third (37%) stating their business had gained a competitive advantage and improved their customer experience.
Read MoreThe Commission presents next steps for building trust in artificial intelligence by taking forward the work of the High-Level Expert Group.
Read MoreAlmost 5,000 knowledge workers and business decision makers share their insight on how RPA is changing business operations and employees’ working lives.
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