The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
For years, we've thought of autism as lying on a spectrum, but emerging evidence suggests that it comes in several distinct ...
Also featuring deep dives into rampant worker injuries in automobile factories, health hazards from imported scrap tires, and ...
UCSF researchers have discovered a way to identify deadly lung infections with improved accuracy by pairing AI with a unique ...
Many MongoDB instances are or were potentially vulnerable to MongoBleed. A tool helps with server analysis for traces of ...
Fraud and financial crime will continue to evolve as digital services expand and businesses that invest in intelligence-led, ...
From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...
Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
The IMD AI Safety Clock is a tool designed to evaluate the risks of Uncontrolled Artificial General Intelligence (UAGI) – autonomous AI systems that operate without human oversight and could ...
A research team led by Prof. Wang Zhenyou at the Aerospace Information Research Institute of the Chinese Academy of Sciences ...
Business leaders can’t outsource mathematical thinking to AI without sacrificing judgment, because real-world business ...
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