Initially focused on high-value automotive use cases, the platform enables OEMs to achieve up to 90% of software validation prior to hardware availability — significantly shrinking vehicle development ...

From industrial automation to mobile robotics and medical imaging, embedded developers can accelerate AI deployments using AMD ROCm™, a proven, open-source software stack for edge applications Join 12 ...

Speed, safety and smarter molecules have yet to translate into better medicines reaching patients. The real breakthrough may come from rethinking what we ask AI to do in the lab, writes Robert Roe ...

How LIMS innovation is boosting bioanalysis precision and security Gain expert insights into how laboratory informatics is evolving — and how your organisation can modernise bioanalysis workflows with ...

Our recent roundtable witnessed those working in scientific research discuss their needs around data storage strategies. With scientific research generating vast amounts of data, choosing the right ...

The promise of AI in science has never been louder, but is the laboratory ready to deliver on it? The Laboratory Informatics Guide 2026 cuts through the noise to ask the questions that matter most.

Nominate your scientific computing stars for the inaugural SCW75 – an annual recognition programme celebrating the individuals driving innovation at the intersection of computing and scientific ...

Credit: sasirin-pamai/Shutterstock DOE-funded research converts enriched silicon and germanium into ultra-pure silane and germane, strengthening the materials supply chain for quantum information ...

From AI and machine learning to simulation and genomics, research teams must manage petabytes of data while maintaining performance, security and cost efficiency. But choosing the right storage ...