The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Anthropic released Claude Haiku 4.5 on Wednesday, a smaller and significantly cheaper artificial intelligence model that matches the coding capabilities of systems that were considered cutting-edge ...
Single-cell technologies have revolutionized our ability to interrogate biological systems at unprecedented resolution, revealing complex cellular heterogeneity and dynamic processes that underlie ...
• 🖼️ Whole-slide image processing: Load and preprocess whole slide images (WSIs) easily. • 🧩 Patch generation: Automatically generate patches from WSIs in parallel. • 🧠 Foundation models: Use ...
Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI Trump announces two new national holidays, including one on ...
https://www.riteshmodi.com - Data Scientist, AI and blockchain expert with proven open-source solutions on MLOps, LLMOps and GenAIOps. https://www.riteshmodi.com - Data Scientist, AI and blockchain ...
Abstract: Machine learning is a powerful tool for extracting valuable information and making various predictions from diverse datasets. Traditional machine learning algorithms rely on well-defined ...
Schematic Blueprint for Finetuning LLM (e.g. Qwen or Llama) for text classification using LORA. Output model can have original or modified head (e.g. for SequenceClassification).
Abstract: This article explores the distributed leader-following consensus control problem of nonlinear multiagent systems subject to stochastic output sensing noises under a fixed directed topology.
Introduction: Early prognosis prediction of acute ischemic stroke (AIS) can support clinicians in choosing personalized treatment plans. The aim of this study is to develop a machine learning (ML) ...
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