Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

Raja Koduri, a pioneer in graphics processing, is revolutionizing the future of compute with Oxmiq Labs, making ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

Q4 started strong for crypto and DeFi after a broadly bullish Q3, but markets quickly slid into uncertainty as hopes of macro easing faded and artificial intelligence (AI) overvaluation fears rose.

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, ...

When you’re getting into web development, you’ll hear a lot about Python and JavaScript. They’re both super popular, but they do different things and have their own quirks. It’s not really about which ...

Abstract: This study presents a modular and BDD-based automation framework designed to overcome the long-standing challenges in testing Java Swing-based ERP systems such as Oracle E-Business Suite ...

Abstract: Python's dynamic typing system offers flexibility and expressiveness but can lead to type-related errors, prompting the need for automated type inference to enhance type hinting. While ...