Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...
As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is ...
Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.
As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...
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