Salty soils are causing reduced crop density, lower yields and barren lands unable to sustain crop growth. Sea level rise, intense storm surges and the overextraction of groundwater are driving this ...

Granular factoring overcomes the challenge of size and heterogeneity in neurological data science. Brain data is sourced from ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Researchers devised a way to maintain an AI model's accuracy while ensuring attackers can't extract sensitive information used to train it. The approach is computationally efficient, reducing a ...

Image processing working mechanism Artificial intelligence and Machine Learning algorithms usually use a workflow to learn from data. Consider a generic model of a working algorithm for an Image ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

AI image generation is changing how we create visuals. It uses algorithms to produce or modify images on the fly. Many industries now rely on AI to design ads, illustrate news, or prototype ...

Lina was deemed to be at "medium" risk. She asked for a restraining order at a specialist gender violence court in Malaga, so ...

One University of Washington study found that when an algorithm was trained on an image data set where pictures of cooking were 33% more likely to feature women than men, the algorithm increased ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...