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 change the base year in the computation of GDP, CPI inflation and IIP" ...

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.Machine learning supports tailored ...

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 ...

An NHS and government-backed review misrecorded causes of death for hundreds of learning disabled people, leading to ...

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 ...

AI looks set to be transformative for us all, but it also brings a real risk of job losses and widening social and economic ...

A 2017 Facebook experiment also drew alarming headlines. But then, as now, the danger was not what it seemed.

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

With high-stakes remote transactions occurring at scale, increasingly involving AI agents, there are countless attack surfaces, and potentially massive payoffs.