Meta and IBM have joined forces to launch the AI Alliance, a new initiative advocating for an “open-science” approach to the development of artificial intelligence (AI). In contrast to the closed approach favored by tech giants like Google, Microsoft, and OpenAI, the AI Alliance aims to make AI technology widely accessible. The alliance boasts an […]

Google’s DeepMind has developed a groundbreaking tool called GNoME that utilizes deep learning to expedite the process of uncovering new materials. This innovative technology has the potential to revolutionize the field of material science. In collaboration with Lawrence Berkeley National Laboratory, DeepMind’s GNoME is combined with machine learning and robotic arms in an autonomous lab […]

A tour de force on progress in AI, by some of the world's leading experts and venture capitalists.

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Machine learning and artificial intelligence took the spotlight as 10 companies showcased the latest in technology that is disrupting the transportation and logistics worl

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Data science is key to a successful transformation into an AI-powered enterprise. GPU-accelerated data science enables a faster method to improve the efficiency of data science initiatives. Learn how RAPIDS, a new data science platform for enterprise, enables an accelerated data science pipeline.

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The machine learning systems coming to market now are beginning to provide simpler interfaces that allow people other than data scientists to work with anomalies, fine tune to minimize false positives and false negatives, and otherwise manage their businesses with improved accuracy.

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These practices have the potential to address limitations in managing your current setup while transforming your process in a way that allows you to both meet service-level targets today and create scalability for tomorrow.

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Apple officially names John Giannandrea its head of artificial intelligence and machine learning.

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trusted computing methods of safeguarding models used to create artificial intelligence and machine learning systems to ensure that models compromised by cyber attacks do not inadvertently reveal sensitive information

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“AI or machine learning is already embedded a lot of the products [technology] that banks and financial institutions would use. So when they are talking about business analytics, some of that is driven by AI,” said Leonie Valentine, managing director for Google Hong Kong.

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