Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.

Artificial Intelligence is transforming industries at an unprecedented pace. From automating complex business workflows to ...

Currently deployed on 2,000+ trains, HMAX was first introduced by Hitachi Rail in 2024 as a comprehensive digital asset ...

In 2026, unified security platforms and AI-driven intelligence will continue to revolutionize campus safety by enabling ...

Rugged hardware and no-code AI empower industrial teams to deploy intelligence where operations run. JACKSONVILE, FL, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Velasea ( a leading OEM system ...

As digital ecosystems expand across industries, so does the threat surface they expose. For Dr. Karthik Kambhampati, a ...

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

Dr Shiva Khoshtinat is a postdoctoral researcher at the Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta' at Politecnico di Milano. With an interdisciplinary background ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and adaptability. It introduces a vision of self-defending systems capable of ...

Abstract: Model predictive current control (MPCC) based on sliding mode disturbance observer (SMDO) effectively addresses the issues arising from parameter mismatches and unmodeled nonlinear elements ...