Rahul Garg

As digitalization advances across industries, data is increasingly becoming the lifeblood of modern manufacturing.

These shifts are not driven by a single factor but by the combined influence of policy changes, supply chain lessons from recent years, and the evolving priorities of businesses and governments.

Prostate and testicular cancers represent major health concerns for men, yet public knowledge, awareness of how to perform self-examinations, and comfort discussing male reproductive health are often poor, with stigma further limiting early detection and prevention. This study compared the effectiveness of two educational modalities, poster-based instruction and prosthetic model-based instruction, in an effort to address these shortcomings among adult participants. Using a pre-, post-, and two-week follow-up survey design, we measured knowledge gains, retention, and comfort discussing male cancers with healthcare providers across different education levels and age groups. Prosthetic-based instruction consistently outperformed posters, producing greater immediate knowledge gains, stronger retention at two weeks, and larger improvements in confidence, particularly among participants with lower educational levels. By engaging learners through multisensory teaching methods and experiential practice, prosthetic models hold promise for reducing educational disparities, improving early-detection behaviors, and ultimately decreasing mortality from male reproductive cancers.

A couple of years ago I was working on a project with a decent-sized REST API. We had integration...

See why digital twins and humanoid robots are helping manufacturers modernize brownfield factories without costly infrastructure upgrades or major disruptions

Learn how one declarative madengine command benchmarks day-0 Kimi-K3 across vLLM, SGLang, and ATOM on AMD Instinct MI350X.

“The models will become plug and play, but the real moat will be around the generative simulation infrastructure that is purpose-built for these verticals and functions, a combination of the two things.”

Profile an eight-layer training proxy derived from the DeepSeek-V4-Flash Primus configuration on eight MI350X GPUs with madengine and TraceLens, then turn operator-to-kernel insights into faster runs.