As big data takes a larger role in healthcare analytics, healthcare organizations may come to rely on algorithms, but some experts are questioning whether the algorithms should be overseen.

The startup leverages a patented algorithm based on blood test data from more than 40,000 people to create hyper-personalised supplements.

Massive datasets are required to train machine-learning models. “If we want autonomous robots and advanced algorithms, we need big data,” Hovell said.

A new algorithm used to analyze sediment layers of the seafloor is helping scientists pinpoint the timing of past Cascadia Subduction Zone earthquakes to determine when the next big one will come ...

New Linear-complexity Multiplication (L-Mul) algorithm claims it can reduce energy costs by 95% for element-wise tensor multiplications and 80% for dot products in large language models. It maintains ...

The outcome of a Supreme Court case could have significant implications for how internet companies operate, content curation and free speech.

The Supreme Court’s Big Algorithm Fail “These are not like the nine greatest experts on the Internet.” ...

Algorithmic recommendations aren’t just bad for kids’ mental health; they’re taking away the journey of discovery that comes with being human.