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 MoreAI Hub is the brand-new place for everything AI within your company, as well as in general. This is an introduction into the various components we provide so you can scale your AI practice. Learn how AI Hub fosters collaboration, sharing, and reuse of AI components within enterprises and with partners. Experience how you can build on the best AI technologies and solutions by Google and deploy them in production on GCP.
Read MoreThe frequency with which high-profile data breaches and massive data privacy violations appear in global headlines clearly demonstrates the need to manage information with more stringent security and privacy controls. By Aaron Rangel, Director Product Management at iManage.
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.
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