MIT's SceneSmith creates realistic 3D worlds where robots safely train, reducing costs and speeding AI-powered robot ...
The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
Deep Learning-based embeddings are used widely for “dense retrieval” in information retrieval, computer vision, NLP, amongst others, owing to capture diverse types of semantic information. This ...
Abstract: Solving the path planning problem of Autonomous Underwater Vehicles (AUVs) is crucial for reducing energy waste and improving operational efficiency. However, two main challenges hinder ...
You will never be able to prove every mathematical truth. For me, this incompleteness theorem, discovered by Kurt Gödel, is one of the most incredible results in mathematics. It may not surprise ...
cDepartment of Hematology, Oncology and Radiation Physics, Region Skåne, Lund, Sweden dDepartment of Genetics, Pathology and Molecular Diagnostics, Laboratory Medicine, Region Skåne, Lund, Sweden ...
Abstract: A new density-based clustering algorithm, RNN-DBSCAN, is presented which uses reverse nearest neighbor counts as an estimate of observation density. Clustering is performed using a ...
The detection of smoking behavior is an emerging field faced with challenges in identifying small, frequently occluded objects like cigarette butts using existing deep learning technologies. Such ...
Copy number variation (CNV) is a well-known type of genomic mutation that is associated with the development of human cancer diseases. Detection of CNVs from the human genome is a crucial step for the ...
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