The development of a photonic quantum computer took a leap forward with a new protocol for storing and releasing a single photon in an embedded eigenstate -- a quantum state that is virtually unaffected by loss and decoherence.

Andrey Savchenko, Professor at HSE University, has developed a method that can help to enhance image identification on videos. In his project, a network was taught by a new algorithm and can now make decisions on image recognition and classification at a rate 10 times faster than before.

As students learn a new concept, measuring how well they grasp it has often depended on traditional paper and pencil tests. Dartmouth researchers have developed a machine learning algorithm, which can be used to measure how well a student understands a concept based the student's brain activity patterns.

The European Proteomics Infrastructure Consortium providing access (EPIC-XS), funded as part of the Horizon 2020 Work programme, held its kick-off meeting in Amsterdam on April 25-26 2019. In this article, we discuss the objectives and highlights of the meeting.

Francis S. Collins, M.D., Ph.D. Director of the National Institutes of Health, has recently directly addressed the issue of underrepresented groups in science: "Too often, women and members of other groups underrepresented in science are conspicuously missing in the marquee speaking slots at scientific meetings and other high-level conferences.”

This article dwells upon the challenges presented by prevailing data visualization solutions for drug discovery and covers how enablers such as AI and VR have transformed the drug discovery data visualization market. It touches upon examples of existing solutions, new players and upcoming industry partnerships.

The final instalment of The Evolution of Proteomics series features an interview with Professor John Yates from the Department of Molecular Medicine at Scripps Research. The Yates laboratory is focused on developing strategies and tools in proteomics to answer basic biological questions.

Structural biology has recently observed the marrying of two remarkably complimentary techniques for the study of protein structure and interaction: cross-linking mass spectrometry (XL-MS) and the Nobel prize winning cryogenic electron microscopy (cryo-EM).

Richard Scheltema is an assistant professor at Utrecht University where he heads up the Scheltema laboratory within the wider context of the group of Albert Heck. The research group focuses on mass spectrometry (MS) based structural proteomics, for which they develop advanced liquid chromatography-mass spectrometry (LC-MS/MS) platforms and analysis software.