Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

A new NURBS-based algorithm is revolutionizing gridshell design by enabling faster, smoother, and more flexible shape-finding ...

Improving health discourse needs attention to information environments where trust can grow. Social media influencers have entered the healthcare conversation. Raffael Heiss and colleagues’ analysis ...

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 ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

People who played the “Prisoner’s Dilemma” were less likely to cooperate when the other player was a male human or AI, and ...