Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the limits of their training data and can become ...
Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...
Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the ...
Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...
Automated quality control using rapid PCR assays is replacing 28-day culture tests, cutting biopharmaceutical lot release ...
Certifying a composite primary structure for a next-generation aircraft is, at its core, a data problem. From coupon to full ...
The Nuclear Regulatory Commission (NRC) has proposed what may be its most consequential reactor-licensing overhaul in a ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...