Scientists from the Division of Sustainable Energy and Environmental Engineering at Osaka University employed deep learning artificial intelligence to improve mobile mixed reality generation. They found that occluding objects recognized by the algorithm could be dynamically removed using a video game engine. This work may lead to a revolution in green architecture and city revitalization.
Climate change also affects forests in Germany. Currently, the biggest forest dieback since the 1980s is taking place. In Baden-Württemberg, 43 percent of all forest areas are damaged. Science will now help take countermeasures and make forest ecosystems more resistant:
Peritus.ai, the AI recommendation engine for support automation, today announced the general availability of the Peritus Assistant for Cloud-Native technology forums to significantly improve support for technologies including Kubernetes and other cloud-native technologies.
Myelodysplastic syndrome (MDS) is a disease of the stem cells in the bone marrow, which disturbs the maturing and differentiation of blood cells. Annually, some 200 Finns are diagnosed with MDS, which can develop into acute leukaemia. Globally, the incidence of MDS is 4 cases per 100,000 person years.
"What is fair?" feels like a rhetorical question. But for Michigan State University's Pang-Ning Tan, it's a question that demands an answer as artificial intelligence systems play a growing role in deciding who gets proper health care, a bank loan or a job.
Having the right tool for the job makes the job a lot easier, less expensive and faster. Chemical engineering researchers have now developed a virtual laboratory that can be used to determine the artificial intelligence (AI) tools best suited for addressing various chemical synthesis challenges in flow chemistry systems.
3,938 moths are part of a major insect study based on artificial intelligence, and researchers from Aarhus University have just published their results in the scientific journal Sensors.
In Brazil, researchers affiliated with the Center for Nuclear Energy in Agriculture (CENA) and the Luiz de Queiroz College of Agriculture (ESALQ), both part of the University of São Paulo (USP), have developed a methodology based on artificial intelligence to automate and streamline seed quality analysis, a process required by law and currently done manually by analysts accredited with the Ministry of Agriculture.
A team of Rochester Institute of Technology researchers that develops artificial intelligence systems capable of learning over time is putting its work to a unique new test: creating machines capable of playing the popular video game Starcraft II.
AI has, for some time, been applied to diagnose medical conditions in specific fields. It can build on knowledge of particular disciplines to hone in on details such as the shape of a tumor that suggests breast cancer or abnormal cells that indicate cervical cancer.
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