March, 2025

March, 2025

Lunit’s AI can spot EGFR mutations from a regular scan
Lunit will present an AI study on predicting EGFR mutations in non-small cell lung cancer (NSCLC) at the American Association for Cancer Research (AACR) Annual Meeting 2025, held from April 25 to 30 i...

Case Status just turned law firms into time-travelling mind readers
Case Status launched its new AI Case Summary feature this week, offering law firms an instant overview of client relationships and engagement through concise, AI-generated summaries. The new tool aggr...

Graph neural networks (GNNs)
Graph neural networks (GNNs) represent a cutting-edge evolution in the domain of artificial intelligence, tailored specifically to analyze the connections and relationships within various types of gra...

AI data labeling
AI data labeling is a fundamental process that underpins the success of machine learning (ML) applications. By accurately tagging and categorizing data, it transforms raw information into valuable ins...

ETL pipelines
ETL pipelines are revolutionizing the way organizations manage data by transforming raw information into valuable insights. They serve as the backbone of data-driven decision-making, allowing business...

Attributes
Attributes play a crucial role in defining the structure and capabilities of machine learning models. Understanding how these components function can help demystify the workings of modern AI systems. ...

Data augmentation
Data augmentation serves as a crucial technique in machine learning, enhancing the training data’s quality and diversity without the need for extensive dataset acquisition. By tweaking existing data...

Evolutionary algorithms
Evolutionary algorithms are fascinating optimization techniques inspired by the principles of natural selection. These algorithms are adept at solving complex problems by utilizing mechanisms similar ...

Data decomposition
Data decomposition plays a critical role in understanding complexities within time series data. By breaking down data into its fundamental components, analysts can identify trends, seasonal patterns, ...

Data labeling
Data labeling is a critical process that lays the groundwork for effective machine learning applications. As algorithms become increasingly complex and data-driven solutions gain prominence, the signi...

April

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B&T Television

April