Enter the delightfully analog solution that's been beta-testing in living rooms for decades: family matching Christmas ...

An EMPI ensures the entire patient record is shared in one go, reducing the administrative load on stakeholders to check the ...

In September 2025, news outlets reported that families of American teenagers who died by suicide were suing OpenAI, Meta, and Character.AI. Their allegation: company products had simulated friendship, ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) (WiMi or the Company), a leading global Hologram Augmented Reality (AR) Technology provider, today announced the launch of a disruptive technology—quantum-assis ...

New research from BrightEdge offers insights into how Google’s AI Overviews ranks websites across different verticals, with ...

Tired of endless swiping? Learn how Facebook Dating AI assistant and Meet Cute feature offer smarter, stress-free matching.

In 2025, eighty-three percent of companies already use AI to review resumes. For candidates, that means a machine is almost always the first “reader” of their application. The good news is that those ...

The ongoing TikTok-US saga seems close to reaching a conclusion, but we’re not there yet. As details get worked out for a potential Oracle-driven deal, a new Bloomberg report details the plans for ...

White House press secretary Karoline Leavitt on Saturday revealed further details of a deal reached between the U.S. and China over control of the popular social media platform TikTok, sharing that ...

White House press secretary Karoline Leavitt on Saturday revealed further details of a deal reached between the U.S. and China over control of the popular social media platform TikTok, sharing that ...

Abstract: This letter presents a novel decentralized matching algorithm (DEMA) for pairing data and algorithm providers in AI ecosystems. DEMA addresses scalability, stability, and matching utility ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...