Stanford University researchers have come up with a method that could start to fill in some of the blanks, feeding satellite imagery into a machine learning algorithm to identify poverty-stricken ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

However, machine learning can be used to automate this process by training algorithms to identify defects ... and developing AI must keep ethics in mind when dealing with it, whether that's ...

The world of computing is full of buzzwords: AI, supercomputers, machine learning ... algorithm. There are many common examples of algorithms, from sorting sets of numbers to finding routes ...

The algorithms that underlie modern artificial ... a ploy might be in the real world was unclear. Safety-critical machine-learning systems are usually trained on closed data sets that are curated ...

To generate large and highly detailed forest maps, the researchers trained a type of machine learning algorithm called a deep neural network using images of the tree canopy and other sensor data ...