Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

The days of charging 1% fees are over. AI isn’t just coming for stock pickers — it’s coming for the robo-advisors too.

Abstract: The timetabling problem, a well-known NP-Hard optimization challenge, spans multiple domains such as education, healthcare, sports, and transportation. Due to its computational complexity, ...

Abstract: With the rapid advancement of artificial intelligence and computational intelligence, traditional evaluation methods struggle with issues such as high subjectivity, low efficiency, and ...