Researchers worry that Medicaid home care eligibility decisions are often made without public scrutiny and based less on ...
Kevin Tang is an eighth-grader in California who won $25,000 and the title of “America’s Top Young Scientist” for his science ...
In a busy room full of talking people, most of us can still pick out one voice to focus on. This common yet complex ...
Algorithmic risk scores might be obscuring a broader issue with how the judicial system works. Algorithmic risk scores might be obscuring a broader issue with how the judicial system works. is a ...
It’s hard to ignore the seismic shifts brought about by algorithm-driven content. Every time you scroll through your social media feed or check your favorite news app, algorithms are diligently at ...
Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...
The healthcare industry grapples with a pervasive issue of providers overcharging insurers for medical procedures performed on their patients. To combat this, insurers have turned to MultiPlan—a data ...
6don MSN
1 in 4 European workplaces make decisions with algorithms and AI that impact employee working life
One in four workplaces in Europe is making decisions using algorithms or AI that will impact the working life of their ...
Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...
We've all been there: Scrolling through social media and spotting the ads recommending something you never knew you needed, whether it's the perfect pair of shoes, a gadget to solve an annoying ...
Khaleej Times on MSN
Google says it has developed landmark quantum computing algorithm
SAN FRANCISCO (Reuters) -Google said it has developed a computer algorithm that points the way to practical applications for ...
In a blog post, Instagram explains that “historically” its systems worked so that creators with “large followings and aggregators of reposted content have gotten more reach in recommendations than ...
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