Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

Integrated robotics platforms support STEM instruction, AI learning, smart logistics training, and advanced robotics ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.

Spread the love“`html The tech job market trends are constantly evolving, and as we step into June 2026, a significant transformation is taking place. If you’re a professional in the tech industry, ...