MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

In the rush to replace insecure, unreliable electronic voting machines after Russia's interference in the 2016 U.S. presidential race, state and local officials have scrambled to acquire more ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

Osaka Metropolitan University researchers introduced a technique to enhance the reliability of gravitational wave parameter estimation results produced by machine learning. The team developed two ...

How can systems be designed to guard against unexpected downtime? How does system reliability impact product development? In what ways can artificial intelligence and machine learning improve system ...

In today's dynamic technological landscape, the necessity for dependable and resilient systems cannot be overstated. Whether it's life-saving medical equipment, intricate financial systems or ...

A detailed look at predictive maintenance engineering, mechanical system reliability, and Rutvikkumar Patel’s role in strengthening mission-critical infrastructure across global industrial sectors.

Energy efficiency is often considered to be the main advantage of electric injection molding machines, but that neglects many ...

Consumer Reports says that Bosch, Miele, and Thermador all got top marks for reliability while Viking, Cove, and Electrolux ...