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 ...

As DRAM technologies scale to increasingly tighter pitches, the patterning requirements exceed the limits of conventional ...

A groundbreaking study in genetics education examines the relationship between the quality of genetics education and the ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

An AI model can now turn a single photo and clothing images into a moving video of a person wearing new outfits, avoiding the ...

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

From crystallographers' beards to billion-dollar lawsuits, the phenomenon of disappearing polymorphs has puzzled chemists for decades. Now researchers are finally unravelling the science behind why st ...

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

Thinking ahead is a skill taught to learner drivers from the outset – and the intelligent wheels being developed by Professor ...

Researchers have developed an uncertainty quantification-based framework for predicting degradation trends in proton exchange ...

India is not suffering from a lack of technological innovation in healthcare but faces a deficit of technological direction.