AI

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.

Machine learning can analyze photographs of cancer, tumor pathology slides, and genomes. Now, scientists are poised to integrate that information into cancer uber-models.

Our brains have evolved to the point where we can build artificial brains that might help us understand our brains. Let that sink in.

The Carnegie Mellon computational biologist thinks machine learning algorithms can direct high-throughput experiments to solve the field’s unanswered questions.

Machine learning could be the key to reducing the use of animals in experiments.

The author of a new book envisions a future when machines advance the research enterprise.

Researchers are using artificial intelligence to identify known and novel resistance genes.

Machine learning algorithms predict the repairs made to DNA after Cas9 cuts.

Researchers are developing computational approaches to extract information from multiple sets of single-cell sequencing data.

Watch Princeton University’s Nicholas Turk-Browne describe his research on how the human brain makes, stores, and adjusts memories.