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.

Throughout human history, we have always been at war with infectious agents. In the past, there used to be less sophisticated tools to identify epidemics. Nowadays, more advanced technologies, such as genomic sequencing, are being harnessed to gain information about infectious agents.

Bringing new medicines to patients struggling with serious illness is the driving force behind drug discovery and development. This article highlights advances in three technology areas that show great promise to speed the drug discovery and development process.

The short answer is, in terms of deaths at least, the current coronavirus outbreak is not as bad as it was initially predicted. However, researchers are working tirelessly as new data becomes available to refine models vital for disease management.