Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

Synthetic biologists have developed a design-driven process to build complex genetic circuits for cellular engineering. The new technology utilizes computational modeling to more efficiently identify ...

The Consumer Technology Association (CTA) has released a new artificial intelligence standard that requires model developers to meet specific accuracy and explainability requirements for pre-market ...

The IAEA is launching a new Coordinated Research Project (CRP) to support Member States in thermal-hydraulics modelling, tools development and experimental studies applicable to the design of ...

Find out how an AI tool to cut costs and impact of sick calls streamlines clinical scheduling with predictive insights and human oversight.

A research team led by Lee Jae-woo, a physics professor at Inha University, presented a new milestone in responding to the ...

Leveraging advances in automation and predictive analytics is essential to stay competitive in today’s economy. The rise of automation began many years ago, and the adoption of robotic manufacturing ...