The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

Researchers developed an auditing technique to test generative AI models for malicious capabilities without prompting them ...

Abstract: In numerous cellular applications, cells are transported to specific positions or extracted from complex cell solutions. Therefore, an efficient cell transportation path planner for these ...

If a traditional computer is like a locksmith testing one key at a time, a quantum computer can explore countless possibilities simultaneously. Problems that would take today’s most powerful computers ...

Google’s Willow quantum processor ran a specific algorithm 13,000 times faster than a classical supercomputer, according to ...

Abstract: Quadratically constrained quadratic programming (QCQP) with double-sided constraints has plenty of applications in signal processing as have been addressed in recent years. QCQP problems are ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

Amid widespread anxiety related to complex admission rules, many parents and candidates preparing college applications after the national college entrance exam, or gaokao, are turning to artificial ...