In an era where companies are increasingly relying on open-source AI models to enhance their business applications, ensuring the security and integrity of these models has become a major concern for application security teams. Traditional tools often fall short in identifying and mitigating risks
The current digital landscape is undergoing rapid transformation, demanding organizations to adopt innovative strategies that enhance both operational efficiency and security. As businesses strive to stay ahead, the convergence of DevOps and artificial intelligence (AI) is emerging as a potential
In the rapidly evolving field of deep learning, the choice of framework can significantly impact both development flexibility and model performance. For many researchers and developers, PyTorch has emerged as the framework of choice due to its dynamic computational graph support, among other robust
In the rapidly evolving world of software development, maintaining the integrity of open-source tools has become a fundamental challenge for many developers and companies alike. The launch of Opengrep, a consortium-backed fork of the Semgrep OSS static application security testing (SAST) tool,
As the insurance industry anticipates the challenges and opportunities ahead, several critical trends and transformative changes are expected to shape its future by 2025. Fadata, a leader in insurance and digital transformation, highlights significant developments and trends derived from its close
The rapid adoption of artificial intelligence (AI) across various industries has underscored the need for efficient, cost-effective AI inference solutions. At the forefront of this transformation is NVIDIA's AI inference platform, a comprehensive suite of silicon, systems, and software that
