The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Abstract: Autonomous Aerial Vehicle (AAV) networks are increasingly deployed in military and civilian applications, serving as critical platforms for data collection. Users frequently require ...
Proprietary NLP algorithms and multi-source data deliver the industry's most granular view of AI search behavior by ...
How much of the energy consumed in an AI chip is spent doing something useful? This question affects everything from software ...
ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
Characterizes the query type (e.g., theory or experiment). Generates 3 additional queries aligned with the original query to improve information retrieval (query rewriting/expansion). Searches the ...
Hello! Thank you for your excellent work — it's truly impressive and inspiring. I do have a question regarding the model. I’m interested in adapting it for single-query processing. I attempted to ...
The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...
An innovative algorithm for detecting collisions of high-speed particles within nuclear fusion reactors has been developed, inspired by technologies used to determine whether bullets hit targets in ...