When faced with genuinely difficult ethical tradeoffs, leading AI models report feeling conflicted — then make sweeping, ...

Abstract: Effective content recommendation in new media relies heavily on algorithmic approaches to enhance user engagement and satisfaction. This abstract explores the current landscape of content ...

Abstract: In recent years, the deployment of massive multiuser multiple-input multiple-output (MU-MIMO) systems with hundreds or even thousands of antennas at the enhanced-mobile broadband station ...

Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...

The integration of algorithmic trading with reinforcement learning, termed AI-powered trading, is transforming financial markets. Alongside the benefits, it raises concerns for collusion. This study ...

Communication complexity examines the minimum volume of information exchange required among distributed agents to compute a function of their combined inputs. Established nearly four decades ago, this ...

Computational complexity theory examines the intrinsic difficulty of algorithmic problems by classifying them into hierarchies according to the resources—typically time and space—required for their ...

Gothenburg promised to optimise school admissions with a piece of code. The resulting chaos showed how unaccountable systems are ruining lives We like to imagine that injustice announces itself loudly ...