Nature

Development of a machine learning model for automatic data extraction from breast cancer pathology reports

Data extraction from medical records is crucial for clinical research, with current methods relying on human annotation. Natural Language Processing (NLP) and Machine Learning-based approaches show ...
Nature

Structured information extraction from scientific text with large language models

Extracting structured knowledge from scientific text remains a challenging task for machine learning models. Here, we present a simple approach to joint named entity recognition and relation ...
Electronic Design

Model Extractor For CMOS Sports Improved RF/DC Parameters

It’s very difficult to create accurate device-simulation models for advanced CMOS digital processes. Why? Because hard-to-model effects like gate accumulation and tunneling, trap-assisted tunneling, ...
Computerworld

Google fears massive attempt to clone Gemini AI through model extraction

Google detected and blocked a campaign involving more than 100,000 prompts that it claimed were designed to copy the proprietary reasoning capabilities of its Gemini AI model, according to a quarterly ...
ascopubs.org

Ensuring Reliability of Curated Electronic Health Record–Derived Data: The Validation of Accuracy for Large Language Model–/Machine Learning–Extracted Information and ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...
조선일보

State-backed hackers exploit AI as model extraction attacks surge

With the spread of generative artificial intelligence (AI), attempts at cyberattacks to identify how AI models work internally are increasing. Google Threat Intelligence Group (GTIG) and DeepMind ...