Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

The Carbon Trust has launched the Unison Project, which will develop a standardised offshore wind data model to support safer ...

This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...

Best practices include direct and multisensory instruction, role-play and behavior modeling, and being mindful of ...

Implementing agentic software engineering requires more than connecting an AI model to your repositories—it starts by ...

Authored by certified embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML ...

Cyber threats don’t just hit your systems — they move through your connections. The ULM shows how those hidden links fuel ...

The volumes of information generated from OT typically fall into two distinct categories: OT data includes things like piping and instrument diagrams (P&IDs), mechanical and electrical diagrams, work ...

In Part 1, we explored the background of CMMC, discussed the timeline of its implementation and laid the groundwork for why ...

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the ...

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?