A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...

Optomec, a global leader in additive‑manufacturing hardware and software, today launched the Aerosol Jet Education Platform.

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Traditional security setups focus on walls around your network. They block outsiders at the gate. But intelligent cloud apps run AI and ML ...

Russian scientists are creating the first public data set for intensive care units, designed to train artificial intelligence ...

With the rapid development of single-cell RNA sequencing (scRNA-seq), researchers can now examine gene activity in individual ...

If you have ever left a Telegram signal group feeling burned — prices already moved by the time the alert hit your phone, the ...

Every few years, a new sensing capability reshapes an entire product category. Brain data is next, and this time, most ...