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Artificial Intelligence Medical and Engineering Researchers Society: A Gateway to the Future

Artificial Intelligence (AI) is transforming the medical and engineering fields, enabling faster and more accurate diagnoses, better treatment planning, and improved patient outcomes. As the use of AI in these industries continues to grow, it’s essential to have a community…

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Join the Artificial Intelligence Medical and Engineering Researchers Society

Artificial Intelligence (AI) is revolutionizing the medical and engineering industries. AI is enhancing research capabilities, increasing precision, and improving outcomes. The Artificial Intelligence Medical and Engineering Researchers Society (AIMERS) is a community of professionals dedicated to advancing the use of…

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Research needed in following domains

Need lot of research in following domainswww.AimerSociety.comCancer Research: Cancer is a complex disease with many different types and subtypes. Research is needed to identify new treatments, improve diagnostic techniques, and develop new therapies that can help patients with cancer.Cardiovascular Diseases:…

Science Daily, Uncategorized

Artificial intelligence (AI) reconstructs motion sequences of humans and animals

Imagine for a moment, that we are on a safari watching a giraffe graze. After looking away for a second, we then see the animal lower its head and sit down. But, we wonder, what happened in the meantime? Computer…

google-researches, Uncategorized

Announcing the ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

Posted by Shangbang Long, Software Engineer, Google Research The last few decades have witnessed the rapid development of Optical Character Recognition (OCR) technology, which has evolved from an academic benchmark task used in early breakthroughs of deep learning research to…

google-researches, Uncategorized

Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative, an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages,…

google-researches, Uncategorized

Performer-MPC: Navigation via real-time, on-robot transformers

Posted by Krzysztof Choromanski, Staff Research Scientist, Robotics at Google, and Xuesu Xiao, Visiting Researcher, George Mason University Despite decades of research, we don’t see many mobile robots roaming our homes, offices, and streets. Real-world robot navigation in human-centric environments…

google-researches, Uncategorized

Distributed differential privacy for federated learning

Posted by Florian Hartmann, Software Engineer, and Peter Kairouz, Research Scientist, Google Research Federated learning is a distributed way of training machine learning (ML) models where data is locally processed and only focused model updates and metrics that are intended…

google-researches, Uncategorized

Teaching old labels new tricks in heterogeneous graphs

Posted by Minji Yoon, Research Intern, and Bryan Perozzi, Research Scientist, Google Research, Graph Mining Team Industrial applications of machine learning are commonly composed of various items that have differing data modalities or feature distributions. Heterogeneous graphs (HGs) offer a…

Science Daily, Uncategorized

Artificial Intelligence from a psychologist’s point of view

Researchers test cognitive abilities of the language model GPT-3. Read More