Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

Read more about Smart wearable tech with AI brings real-time performance insights to strength training on Devdiscourse ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...

As automation grows, artificial intelligence skills like programming, data analysis, and NLP continue to be in high demand ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

Heterogeneous catalysis—in which catalysts and reactants are of different phases, e.g., solid and gas—is important to many ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Major release delivers seamless Ignition SCADA, enterprise-grade security, advanced ML algorithms, and private cloud ...

Can automation solve the bottlenecks in immunogenicity testing? Dr. Rob Dodge explains the role of robotics and machine ...