There is too little data to generate a comparable live estimate for Ukraine. However, a catalogue of the known dead and ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...

To gain a competitive edge with AI, healthcare companies should reclassify their data in a uniform way and upskill staff, industry experts say.

And algorithms aren’t just on our phones: they’re used in all kinds of processes, on and offline, from helping value your home to teaching your robot vacuum to steer clear of your dog’s poop.

The data-driven revolution is prefaced upon the idea that data and algorithms can lead companies away from biased human judgement towards pristine mathematical perfection that captures the world ...

Most medical algorithms are trained on data collected in New York, California, and Massachusetts. That might skew they’re accuracy if they’re used in other places, researchers suggest.

That's the "bad data." Tell an algorithm that, say, 80% of arrests resulting in charges for cannabis possession come from a certain neighborhood, and the algorithm may tell you to police that ...

Training an ordinary deep-learning algorithm involves showing it labeled data and adjusting its parameters so that it responds ... Xiaomi’s YU7 Is an SUV-Sized Middle Finger to Tesla’s Model Y.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Researchers in Denmark say they have used powerful machine-learning algorithms to accurately predict certain aspects of human lives, including how early someone is likely to die.