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The latest artificial intelligence news from AZoAI and across AZoNetwork |
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| |  | | ABB partners with Imperial College London to equip engineering students with AI skills, enhancing their ability to tackle global challenges in a digital era. | | | | The article details a novel approach for BIM reconstruction of MEP systems, leveraging semantic segmentation to achieve 92.18% mean IoU in component detection. | | | | Researchers investigate reinforcement learning for climate adaptation, demonstrating its effectiveness in optimizing coastal flood protection strategies in NYC. | | | | In today's fast-paced, digitally connected world, businesses are increasingly turning to artificial intelligence (AI) to streamline operations, enhance customer engagement, and drive growth. | | | | Early frequency loss in the human hearing range (20 Hz to 20,000 Hz) is being better detected thanks to recent developments in artificial intelligence-driven audiology. Given age and environmental exposure alter frequency perception, experts stress proactive testing and hearing preservation. | | | | This research showcases AI-powered drones that automate airfield assessments, using deep learning and hyperspectral imaging to detect unexploded munitions. | | | | Dawn, the AI supercomputer from Cambridge, accelerates breakthroughs in climate science, medical diagnostics, and clean energy with advanced computing power. | | | | Explore the role of machine learning in advancing environmental health research, from pollutant source attribution to dynamic health impact modeling. | | | | It's been five years since COVID-19 was declared a global pandemic. As SARS-CoV-2 shifts to endemic status, questions about its future evolution remain. | | | | With the widespread availability of AI tools, numerous fields within the technical and natural sciences are experiencing rapid advancements. | | | | The evolution of genomic medicine is driving personalized healthcare, integrating AI and sequencing technologies for improved disease diagnosis and treatment. | | | | Researchers from UC Berkeley and UCSF have developed a brain-computer interface that decodes brain signals into audible speech in near real time. This AI-driven breakthrough enables more natural, fluent communication for individuals with severe paralysis. | |
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