When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Companies of all sorts run on information to handle services like news platforms, e-commerce and financial markets, and ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that ...

An international academic journal, *Nature*, reported on the 31st of last month that the more artificial intelligence (AI) ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...

The model uses geolocation information from scans players submit of real-world locations while playing Pokémon Go. A privacy expert advises users to be mindful of the data they share. Players of ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides ...

Amanda Neuenfeldt is the energy management system (EMS) modeling lead engineer at Actalent, a global company specializing in engineering and sciences services, along with talent solutions. Neuenfeldt ...