Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...

AI could learn to form digital cartels in an effort to maximize profits Algorithms now determine how much things cost. It’s called dynamic pricing and it adjusts according to current market conditions ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that ...

Researchers at Tanta University show that a decentralized, coupling-aware SARSA reinforcement learning controller cut ...

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

In prehistoric societies, humans tended to learn from members of our ingroup or from more prestigious individuals, as this information was more likely to be reliable and result in group success.

Video: How do you add efficiency in AI models? First, look where people are looking. What you get, starting out in this video, is that algorithms impact our lives in, as CSAIL grad student Sandeep ...

People’s daily interactions with online algorithms affect how they learn from others, with negative consequences including social misperceptions, conflict and the spread of misinformation, my ...