Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

Nutshell reports that AI tools are transforming sales, enhancing efficiency and productivity, but success hinges on data quality and implementation strategies.

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.

TreviPay has used these predictive signals to trigger buyer outreach, such as email reminders tied to available credit alongside targeted incentives. All tests resulted in an immediate increase in new ...

Enterprise adoption of cognitive intelligence platforms has accelerated, yet executive confidence has not kept pace. Many deployments promise ...

Global Elevator and Escalator Market is entering a new phase of transformation as urban density, smart building adoption, and ...

DriveCentric, the modern CRM and engagement platform built for today's dealerships, and automotiveMastermind, the leading provider of predictive analytics and marketing automation for automotive ...