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Artículos sobre Machine learning algorithms

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Psychedelics have been the subject of a recent surge of interest in their potential therapeutic effects. metamorworks/iStock via Getty Images

AI maps psychedelic ‘trip’ experiences to regions of the brain – opening new route to psychiatric treatments

Pinpointing the molecular targets behind the subjective effects of psychedelic drugs could help clinicians and researchers better treat psychiatric conditions.
“Alfie”, a moral choice machine, is pictured in front of an important question during a press conference in Germany. Arne Dedert/picture alliance via Getty Images

Defining what’s ethical in artificial intelligence needs input from Africans

Inclusivity and diversity also need to be at the level of identifying values and defining frameworks of what counts as ethical AI in the first place.
The subtleties of how genes are transcribed into RNA molecules like the one depicted here are key to understanding the inner workings of cells. Christoph Burgstedt/Science Photo Library via Getty Images

Machine learning plus insights from genetic research shows the workings of cells – and may help develop new drugs for COVID-19 and other diseases

Machine learning is great at finding patterns but doesn’t know what those patterns mean. Combine it with knowledge gained from genetic research and you have a powerful view into the workings of cells.
A visualization of daily life around Angkor Wat in the late 12th century. Tom Chandler, Mike Yeates, Chandara Ung and Brent McKee, Monash University, 2021

A metropolis arose in medieval Cambodia – new research shows how many people lived in the Angkor Empire over time

Combining archaeological evidence, aerial scans and machine learning algorithms, researchers modeled how this medieval city grew over time.
The 2020 World Series featured two teams at opposite ends of the salary spectrum: the Los Angeles Dodgers and Tampa Bay Rays. The richer Dodgers were the winners. (AP Photo/Sue Ogrocki)

Pandemic Moneyball: How COVID-19 has affected baseball odds

Twenty years ago, a few small-market Major League Baseball teams used advanced analytics as a secret weapon to compete with large-market teams. But the Moneyball effect is gone now.

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