Interpreting 'omics data often involves statistical analysis of large numbers of loci such as genes, binding sites or single-nucleotide polymorphisms (SNPs). Although the data set as a whole may be ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding: AI systems ...

Mid-Atlantic Permanente Medical Group shows how trusted data and technology can turn value-based care into better outcomes, ...

"What we have seen from ... the second Trump administration is a strong focus on centralization and consolidation of common services," said John Marshall.

Ask five mortgage professionals to define “MISMO,” and you’re likely to hear five different answers …Data format.Investor ...

Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

Pursuing a unified data structure for state agencies would save money in the long run but there are challenges to get there, ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

I spoke to Anna Wood, Product Marketing Lead at Canva about the company's latest updates and what it all means for designers ...

Canopy Mortgage is driving one of the most significant shifts in modern mortgage lending with its SoloPreneur P&L Brand Model ...

AI Impact highlights Rivian’s autonomy strategy, hybrid AI gains in healthcare, AGI skepticism, exec moves and AI Impact ...