Abstract: The generalization of the end-to-end deep reinforcement learning (DRL) for object-goal visual navigation is a long-standing challenge since object classes and placements vary in new test ...
Abstract: Salient object detection (SOD) is usually taken as a key procedure on the preprocessing of remote sensing images (RSIs), in which RSI-SOD techniques are employed to accurately locate the ...
Objects such as 'Oumuamua, Borisov and recently 3I/ATLAS have opened our eyes to the reality that outsiders regularly visit our solar system — and we're about to start spotting a whole lot more of ...
Setna iO’s aftermarket acquisitions and global expansions are on track to quadruple the company’s MRO earnings by next year, according to CEO David Chaimovitz. Over the past 12 months, the MRO portion ...
Forbes contributors publish independent expert analyses and insights. Julia Korn writes about leadership and career development. “I don’t know how to network.” It’s a common refrain at every career ...
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
The most impactful business relationships begin with genuine curiosity and a desire to help others — not with a pitch. Meaningful follow-up and long-term engagement — even via small gestures — create ...
Experts have confirmed that the mysterious object hurtling towards us, previously dubbed A11pl3Z, is an "interstellar object." The cosmic interloper, officially named 3I/ATLAS, is only the third of ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Setna iO is significantly expanding its global component MRO capacity to support the growth of its parts business. During the Jefferies Aftermarket and MRO Summit June 4, Setna iO Partner and Chief ...
Artificial intelligence (AI) relies on vast amounts of data. Enterprises that take on AI projects, especially for large language models (LLMs) and generative AI (GenAI), need to capture large volumes ...
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