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 ...
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 ...
Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
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