Artificial intelligence (AI) is rapidly emerging as a transformative force in global health. From forecasting outbreaks,1 ...

Higher education can—and should—fight the Trump administration, but the age of lavish government support is coming to a close ...

Bump scaling is pushing defect inspection to the limit. What comes next and why it matters.

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.

Shashank Murali is a Quality Assurance professional based in Minneapolis, Minnesota, with more than eight years of experience in the medical device technology area.

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

The sound was surely deafening -- a roar of shattered concrete and twisted steel that echoed under the elevated guideway. But ...