Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

Researchers integrated machine learning with multi-tiered validation to identify FDA-approved non-lipid-lowering drugs with lipid-modifying potential. From 3,430 drugs screened, 29 candidates emerged.

AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data ...

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

D-Wave Quantum (QBTS) has recently made significant strides with the launch of its new quantum AI toolkit, which enhances integration with modern machine learning architectures like PyTorch and ...

Personalization isn’t just a nice-to-have; it’s expected. Users want apps and websites that understand them, adapt in real ...

Eight observability vendors lead the pack, according to Gartner, which warns that an ever-improving depth of capabilities is ...

The ability to anticipate glucose changes before they happen is one of ML’s biggest contributions to CGM. Predictive models ...

In this digital era, Gururaj Thite, a specialist in AI-driven systems and data infrastructure, unpacks the rapid advancements ...

Aramide’s paper titled, ‘Quantum-Safe Networking for Critical AI/ML Infrastructure’, investigates the implications of quantum ...

The SNP xPressfeed Market Intelligence Data Integration project, under Suresh Palli's capable leadership, has not only enhanced immediate risk assessment capabilities but also established a robust ...

The integration of AI-driven predictive maintenance in industrial environments is advancing operational efficiency but also introduces cybersecurity risks.