Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

A new algorithm can identify the most predictive data points that a tipping point is near. Whether you're trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look ...

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is used for advanced Parkinson’s disease treatment to improve the quality of life of patients by alleviating motor symptoms, as well as ...

We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...

It is critical for manufacturers such as food processors to recognize that while AI has the potential to become the turbocharger of operations, that transformation rarely happens by simply bolting on ...

Shenzhen Bi’an Mind Technology, founded in 2021, develops emotion recognition algorithms and smart wearable tech. The company combines physiological ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

Danny Sullivan, Google's Search Liaison, posted on X explaining the differences between algorithm updates, like core updates, and then data refreshes, the data that goes into those ranking systems.

Ride-hailing app Uber has launched a “dynamic pricing” algorithm in London to automatically set variable pay for drivers and fares for passengers, but the drivers’ union claims there is no ...