AI Platforms

Is Your AI System Safe? Critical PyTorch Vulnerability Exposed
AI & Trends Is Your AI System Safe? Critical PyTorch Vulnerability Exposed

Artificial intelligence systems worldwide depend critically on frameworks like PyTorch for functionality and efficiency. Recently, a major vulnerability has been discovered in PyTorch, specifically in the torch.load() function. This vulnerability, identified as CVE-2025-32434, allows attackers to

Is Your PyTorch Safe? Update Now to Avoid Remote Code Execution
AI & Trends Is Your PyTorch Safe? Update Now to Avoid Remote Code Execution

In a surprising and critical security disclosure, researchers have identified a significant vulnerability in the widely used machine learning framework PyTorch. This vulnerability, designated CVE-2025-32434, allows attackers to execute remote code by exploiting a function commonly considered safe

Is OpenAI Sacrificing Safety for Speed in AI Development?
AI & Trends Is OpenAI Sacrificing Safety for Speed in AI Development?

The recent acceleration of AI safety testing protocols by OpenAI has sparked a contentious debate within the technology community. This discussion was ignited by reports that OpenAI has drastically shortened its safety evaluation periods for its latest AI models. The move has raised serious

Students Innovate AI Crop Care App, Winning National Hackathon
Software Development Students Innovate AI Crop Care App, Winning National Hackathon

The agricultural sector has long faced challenges associated with crop diseases, inefficient resource usage, and extreme weather conditions. Recently, a group of enterprising students from Jyothishmathi Institute of Technology and Sciences (JITS) in Karimnagar developed an innovative solution named

AI-Driven Breath Test for Early Silicosis Detection Developed by UNSW Researchers
AI & Trends AI-Driven Breath Test for Early Silicosis Detection Developed by UNSW Researchers

In a groundbreaking development, researchers at UNSW Sydney have created an AI-driven breath test for the early detection of silicosis, an occupational lung disease. Published in the Journal of Breath Research, the study by Professors William Alexander Donald and Deborah Yates demonstrates a

Enhancing Data Accessibility: AtScale and Databricks Genie Integration
AI & Trends Enhancing Data Accessibility: AtScale and Databricks Genie Integration

The collision of AtScale's semantic layer technology with Databricks Genie's natural language querying capabilities has opened new doors in the realm of data accessibility and usability. This integration is a game-changer, enabling business users to navigate complex datasets through

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