AI

Grace Lindsay explains machine learning and describes how artificial neural networks mimic the architecture of brain neurons to learn from and process data.

A renaissance in natural language modeling may help researchers explore how the brain extracts and organizes meaning.

An artificial intelligence tool, scGPT, can identify cell types, predict the effects of disrupting genes, and pinpoint which genes interact with each other.

Algorithms can now glean ever more molecular and genetic information from images of stained tissue, but some researchers worry that we can’t follow their logic.

A method appears to be the first to noninvasively reconstruct language from brain activity.

Armed with improved imaging techniques and supercomputers, researchers are generating detailed three-dimensional images of cellular structures that anyone can explore.

Pradipta Ghosh has plans to revolutionize the drug discovery pipeline.

A small study shows artificial intelligence can pick out individuals with coronavirus infections, but ophthalmologists and AI experts say the approach is far from proven to be capable of distinguishing infections with SARS-CoV-2 from other ills.

More than 3,000 researchers have signed on to a petition that expresses concern over the agency’s 2021 application for the funding program, which emphasizes three areas of computational science and might further disadvantage underrepresented groups.

Machine learning has pegged existing drugs to repurpose for COVID-19 clinical trials.

From artificial intelligence to pluripotent stem cells, this year saw the publication of a bevy of intriguing new methods, as well as tweaks to existing protocols.

Scientists used machine learning to analyze the coevolution of physical traits in butterflies.

The proof-of-concept study could be a step toward better assisted communication devices for paralyzed people.

One recent case, in which a scientist claims his submitted manuscript was rejected despite a lack of actual plagiarism, highlights the limitations of automated tools.

Microbiologist Nick Loman talks about the power of artificial intelligence and the best way to use it.

As artificial life forms become more sophisticated, we propose a simple list of criteria to determine whether synthetic biological organisms and robots are living beings.