Lab of the Future – News and Features

The increase of skyscrapers in a city resembles the development of some living systems. Spanish researchers have created an evolutionary genetic algorithm that, on the basis of the historical and economic data of an urban area, can predict what its skyline could look like in the coming years. The method has been applied successfully to the thriving Minato Ward, in Tokyo.

Researchers have shown for the first time that a form of artificial intelligence or machine learning known as a deep learning convolutional neural network (CNN) is better than experienced dermatologists at detecting skin cancer.

For self-driving cars, algorithms for changing lanes are beset by one of two problems. Either, they rely on detailed statistical models of the driving environment, which are too complex to analyze on the fly; or they’re so simple that they can lead to impractically conservative decisions, such as never changing lanes at all. Now a new algorithm hopes to split the difference, allowing aggressive lane changes than the simple models do but relies only on immediate information about other vehicles’ directions and velocities to make decisions.

The High-Performance Computing community has in recent years been dominated by the quest for Exascale systems, capable of a billion billion calculations per second. However, the interest in artificial intelligence and machine learning capabilities has pushed exascale off the front of stage. In this article, David Yip, HPC and Storage Business Development Manager at OCF, asks whether the quest for exascale is truly over.

Companies announce a collaboration agreement to develop In Situ Hybridization (ISH) protocols for RNA and DNA targets in tissue using reagents provided by Vitro on Lunaphore’s rapid autostaining platform.

In LIMS Roundup, we summarize the biggest LIMS industry stories, bringing them together in one place on Technology Networks. This time, we cover award winners from the Bio-IT World 2018, GDPR, and Agilent's foray into lab informatics.

Linguamatics today announced that Bio-IT World has awarded Linguamatics the Best of Show Judges’ Prize for Linguamatics iScite 2.0, a software-as-a-service AI scientific search application. iScite was one of 46 products considered for this prestigious award at last week’s Bio-IT World Conference & Expo in Boston.

A team of scientists has identified networks inside lung cancer cells that will help understand this cancer and fight it with drug treatments.

To learn more about the impact AI has already had on diagnostics and health services, as well as some of its future capabilities, we spoke to Chris Scarisbrick.

'Soft Robots' are a new development in robotics that aims to make human-friendly automation. These machines, made out of liquid-metals and polymer fibers, could help bring humans and robots closer together.