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Researchers have developed personalized learning robots for children with autism, studying whether the robots could autonomously gauge the child’s engagement in long-term, in-home therapeutic interventions.

Research on novel nanoelectronics devices has enabled brain neurons and artificial neurons to communicate with each other, opening the door to further significant developments in neural and artificial intelligence research.

Researchers have looked into the microbiome of the Moscow Subway. Turns out that the bacterial world of the Russian capital's subway system might be similar to that of New York's public transportation.

The 'reproducibility crisis' has become a significant issue in modern science and one journal editor has penned an article suggesting that, for journals, a "no raw data, no science" approach to article approval may be required to avert further damage to the scientific method.

Researchers at ETH have measured the timing of single writing events in a novel magnetic memory device with a resolution of less than 100 picoseconds. Their results are relevant for the next generation of main memories based on magnetism.

Computational biologists at Carnegie Mellon University have taken an algorithm used to study social networks, such as Facebook communities, and adapted it to identify how DNA and proteins are interconnected into communities within the cell nucleus.

A team of Rice University engineers has introduced the first neural implant that can be both programmed and charged remotely with a magnetic field.

Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world's most problematic disease-causing bacteria, including some strains that are resistant to all known antibiotics. It also cleared infections in two different mouse models.

Researchers are using artificial intelligence, radiological MRI scans, and genomics to determine relative life expectancy of glioblastoma patients and discover new treatment options.

Research conducted in the SCBI of the UMA shows, using bioinformatic approaches, that the expression of repetitive DNA regions changes when healthy cells become cancerous. The researchers have identified new biomarkers for the diagnosis, prognosis and even treatment of lung cancer.