Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching ...

So, we have moved a long way and with the dynamic change, we need to change our methodology, and this what led to an urge ...

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

If you’ve ever wanted a social media feed that’s a bit more educational, that dream is now a reality thanks to Xikipedia.

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset ...

Overview AI tools analyse patient data to anticipate pain, distress, and symptom escalation well before the situation worsens ...

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

There are certainly critics out there worried about all the capital flowing into artificial intelligence (AI) projects. However, it's hard to overlook how different companies in various sectors are ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

Insurance platform Ethos Technologies Inc. and some of its shareholders raised roughly $200 million in an initial public ...