This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...
Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...
Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...
Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.
Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.
Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Purdue University's online master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The ...
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