Clare Sansom looks at the impact big data is having on genomics research
Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data. These Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data. These approaches can help scientists do more with less, building a stronger, data-driven foundation for decision making and guiding future research.
David Wang gives his view on how modern laboratories can leverage data to provide maximum value
Digital transformation continues to impact our lives in ways we previously couldn’t have imagined, comments Trish Meek, director of marketing at Thermo Fisher Scientific.
Weather prediction seems simple nowadays. You just have to summon Siri and ask it if you’ll need an umbrella or a sunhat.
In March it was announced that a new exascale system was on the horizon, with the news that Aurora – originally scheduled for 2018 – was going to be the first exascale system in the US, launching in 2021.
The storage market is in a unique position, in that there is demand from both the traditional HPC and enterprise storage markets, such as media and entertainment, alongside new growing markets for AI and machine learning.
