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The advent of technologies such as artificial intelligence (AI), machine learning (ML) and cloud-based platforms is revolutionising how we approach data-driven scientific research
Synthace has developed a ‘no-code’ cloud platform for life sciences R&D which addresses complexity, speed and reproducibility for scientists while lowering the barrier to automated biological experimentation
A collaboration between Thermo Fisher Scientific and Artificial aims to enable improved integration of software and robotics platforms to maximise COVID-19 testing throughput and efficiency
Learn about the developer tools and optimized algorithms your teams can use to expedite workflows and turn data into insights faster than ever.
Phesi, a data-driven provider of AI-powered clinical development analytics products and solutions, has announced it has entered into an exclusive strategic collaboration with clinical AI technology company, Sensyne Health, which is making an equity investment of $10 million in Phesi.
Synthace and Ipsen two European specialists in biopharma and integrative software are working together to advance drug discovery by reducing the cost of design, construction and screening of new compounds
We live in a time of unprecedented innovation. Product design cycles keep getting shorter, personalized and custom products are becoming the norm and external requirements are changing constantly. On top of this, global problems like climate change, clean energy, water, phosphorus and nitrogen flows, plastics waste and other planetary boundaries that are being transgressed are calling for redesign of almost everything we are familiar with today.
Agilent has announced that it will acquire Genohm, a developer of highly differentiated, on-premise and cloud-based software solutions for laboratory management
Imagine a laboratory in the future where all devices and instruments communicate their status, activities and data with each other and with enterprise information systems. Data would be acquired without manual intervention.
As the Internet of Things approaches mainstream adoption and standards for data exchange among devices mature, smart labs can become a reality. In this white paper we discuss:
Prof Dieter Kranzlmüller
Credit: The Gauss Centre for Supercomputing (GCS)
Professor Dieter Kranzlmüller of Leibniz Supercomputing Centre (LRZ) outlines the work of the facility
A round-up of the latest products for scientists using networking technologies
Credit: Panumas Nikhomkhai/Shutterstock
A round-up of the latest storage products and technology available for scientists using HPC
