Artificial Intelligence (AI) can be used to predict molecular wave functions and the electronic properties of molecules. This innovative AI method could be used to speed-up the design of drug molecules.

Scientists have developed quantum computers that can potentially answer questions beyond the capabilities of classical computing.

As mice learn new tasks, the wiring of cell circuits and activities of their neurons changes, according to a new study.

A new study suggests that special memory can become distorted when patterns of grid cells in the brain are irregular.

A new study has revealed that AI agents can adopt human design strategies, such as using visual clues, to solve problems.

Mobile apps that work with Bluetooth devices have an inherent design flaw that makes them vulnerable to hacking, new research has found.

What do we mean by lab of the future? What innovations are required to get there? These are the key themes explored by this year's Lab of the Future Congress, summarized in this article.

If the rapid migration of deadly fentanyls wasn’t difficult to keep up with already, they are also evading analysts through their chemistry. Due to an inexpensive and flexible production process, unique versions of the synthetic opioids are regularly cooked up by illicit chemists, creating new dangers for consumers and new headaches for toxicologists.

Climate change has emerged as the biggest threat to humanity. How can technologies like AI and machine learning lend a hand? Let’s examine the three main benefits that ML and its derivatives can offer to the organizations fighting for the future of our planet.

In December 2018, a diverse group of scientific researchers gathered to challenge a key issue in the science, technology, engineering and mathematics (STEM) workforce: gender bias, and sexual harassment. Now, the conclusions from the meeting have been eloquently described by 23 authors in an article published in the journal Science.

The biopharmaceutical industry has access to more information than ever before. This data must be stored, managed and ultimately analyzed efficiently to advance the development of safe and efficacious treatments. In this article, Thermo Fisher Scientific’s Cheryl Moody Bartel explores how new tools are meeting this challenge.

The difficult part of looking inside the brain only starts after you leave the scanner. The error rate for image analysis remains alarmingly high, and radiologists are being asked to handle larger numbers of scans. Can automation lend a hand? We talked to Dr. Chris Airriess, CEO at CorTechs Labs Inc., which has developed a software designed to streamline the analysis pipeline.