By using machine learning as a feedback mechanism to improve the knowledge of symbolic reasoning, organizations can embed AI into their core business processes for untold possibilities.
Sourced through Scoop.it from: www.forbes.com
Nvidia's open-source GPU-accelerator and Huawei's Ascend chips unveiled,Big Data and Analytics,Business Software ,Nvidia,Huawei,Apple,Machine Learning,ai,Robotic Process Automation
Sourced through Scoop.it from: www.computing.co.uk
A collection of information resources designed to help enterprise IT professionals launch and advance their artificial intelligence, machine learning and automation initiatives.
Sourced through Scoop.it from: www.informationweek.com
Top UK CIOs will talk about the past, present and future of artificial intelligence and machine learning at Computing's newest event,Cloud and Infrastructure ,ai,Machine Learning,Artificial Intelligence
Sourced through Scoop.it from: www.computing.co.uk
Artificial intelligence and machine learning are being adopted at a rapid clip, and the management headaches are just about to begin.
Sourced through Scoop.it from: www.zdnet.com
The AI & Machine Learning Summit has been designed to help business and technology executives cut through the hype and learn how intelligent technologies are being successfully deployed to build competitive advantage, drive new business opportunities, reduce costs and accelerate innovation efforts.
The 3–day conference and solutions showcase brings together the entire applied AI ecosystem, including innovative enterprises, industry thought leaders, startups, independent researchers and leading solution providers.
Sourced through Scoop.it from: www.bandt.com.au
Boffins have figured out how to spot fingerprints in coders' style,Developer ,machine learning,coding,Open Source,developer,AI,datastrategy
Sourced through Scoop.it from: www.theinquirer.net
The GPU has evolved from just a graphics chip into a core components of deep learning and machine learning, says Paperspace CEO Dillion Erb.
Sourced through Scoop.it from: www.zdnet.com
ARLINGTON, Va. – U.S. military researchers need industry's help to speed development and deployment of artificial intelligence (AI) systems by reducing the complexity by reducing the amount of labeled data necessary to build machine learning models.
Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., released a solicitation on Monday (HR001118S0044) for the three-year Learning with Less Labels (LwLL) program.
Sourced through Scoop.it from: www.militaryaerospace.com
Early efforts have a narrow focus and a bottom-up approach, and need to be applied more strategically.
Sourced through Scoop.it from: www.forbes.com
