The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

The Hidden Cost Shock After AI DeploymentIn early pilots, AI systems seem to be economically efficient on the surface. Traffic volumes are low, use cases are narrowly defined, and teams closely ...

Allcargo Logistics strengthens FMCG supply chains with network optimization, tech, & transport planning for efficient ...

A famous Vietnamese mathematician has said that current math teaching and learning reveal two major bottlenecks: curricula ...

As post-quantum security moves closer to reality, efforts like Google’s Merkle Tree Certificates highlight the need to ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

Curious how 6G will power unmanned operations in remote spots like mining sites or disaster zones? A new Engineering study ...

Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

Simon Crownshaw, Worldwide Media and Entertainment Director at Microsoft, discussed the company’s plans for the NAB Show and ...

Initial clinical data highlight a differentiated safety and pharmacologic profile for PHST001, including target engagement, innate immune ...

The aspiration, ultimately, is a planning organization confident enough in its foundation to be genuinely proactive.