Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Cryptographic APIs are essential for ensuring the security of software systems. However, many research studies have revealed that the misuse of cryptographic APIs is commonly widespread. Detecting ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Microsoft and partners are building an open toolkit to add natural language interfaces to web content, using the Model ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Machine learning, a key component of artificial intelligence, has gained increasing attention for its ability to integrate multiomics data and robustly extract critical features. (25) In this study, ...

GitGuardian monitored secrets exposure in public GitHub repositories and reported that developers leaked over 12 million secrets (database and other credentials ...

Herein, we employed machine-learning-based approaches to analyze clinically relevant data on patient ovarian tumors to identify potential clinical biomarkers that may correlate better with ovarian ...

A Python library for creating serverless HTTP handlers for the Model Context Protocol (MCP) using AWS Lambda. This module provides a flexible framework for building MCP HTTP endpoints with pluggable ...

Analysis of flight recorder data from the deadly Air India crash two weeks ago was underway in India after investigators successfully retrieved the information from the two black boxes on board.