Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...

The writer and comedian Megan Koester got her first writing job, reviewing internet pornography, from a Craigslist ad she responded to more than 15 years ago. Several years after that, she used the ...

When tools like ChatGPT first launched, they weren’t even connected to the internet. No real-time knowledge, no live queries, just pretrained data with a cutoff point. Two years later, Perplexity, a ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

One of the School of Law’s oldest traditions will feature one of its most familiar — and most thought-provoking — voices. This fall’s James McCormick Mitchell Lecture will be delivered by UB professor ...

An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...

Abstract: Problem transformation-based multiobjective evolutionary algorithms (MOEAs) face the risk of losing optimal solutions when transforming a large-scale multiobjective optimization problem into ...

From ancient bartering to lightning-fast market algorithms, this documentary traces the evolution of the systems powering the global economy. It begins with early face-to-face exchanges, where goods ...

The cyclical, now AI-fueled, “SEO is dead” panic cycle is in full swing. But here’s what most of those headlines miss: Search isn’t a platform, it’s a behavior. Whether people are typing into Google ...

There’s a familiar look in every college lecture hall. The glazed-over stare of someone just realizing they’re twelve slides wholly behind and lost. The professor keeps talking. The notes don’t make ...