Adaptive cluster sampling is a probabilistic design tailored to populations that exhibit rare or spatially clustered features, such as endangered species, epidemic cases or hidden cultural artefacts.

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Jan 6, 2026 at 8:51 ...

Le Corbusier's Unité d'Habitation imagined a "vertical neighborhood," a building able to integrate housing, commerce, leisure, and collective spaces within a single structural organism. Around the ...

My hypothesis: (Agentic) AI Drift is inevitable cost of adaptability in random world. Experts have spent years preparing for “AI drift,” usually defined as models losing accuracy over time. This ...

Sinéad Burke, chief executive officer of accessibility and inclusion consultancy Tilting the Lens, is pushing forward for adaptive design. Burke has spent the last year working on an open-source white ...

Adaptive reuse is shifting from simple preservation to active revitalization, a process of structurally rescuing and reprogramming architectural typologies whose original functions are no longer ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...

Food production environments are complex, constantly evolving ecosystems — alive with motion, materials and microbial risk. From Listeria monocytogenes and Salmonella to molds and spoilage yeasts, the ...

How can we be sure that there is sufficient data for our model, such that the predictions remain reliable on unseen data and the conclusions drawn from the fitted model would not vary significantly ...