Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Abstract: Autonomous Aerial Vehicle (AAV) networks are increasingly deployed in military and civilian applications, serving as critical platforms for data collection. Users frequently require ...

SemBench is a benchmark targeting a novel class of systems: semantic query processing engines. Those systems rely inherently on generative and reasoning capabilities of state-of-the-art large language ...

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 ...

A glitch in Google’s AI Overviews may inadvertently expose how Google’s algorithm understands search queries and chooses answers. Bugs in Google Search are useful to examine because they may expose ...

“First of all, 90% of your HD listeners are going to be in vehicles,” said Mike Pappas, vice president of global sales for Orban Labs. “This means that as you set up your processing, you will need to ...