AI is finding it's way in a wide variety of applications pertaining to almost every industry. This AI driven rapidly evolving landscape has created a demand for a unique blend of technical, creative, and interpersonal skills highly sought-after by employers. Listed below are some specialized AI-related skills that are becoming increasingly valuable in the modern times. 1. AI Models Development Understanding how AI and ML work including the underlying algorithms, and learning to develop ML powered apps using tools like TensorFlow or PyTorch is a highly desirable skill to master in the age of AI. Furthermore, the skills in fine-tuning and adapting large pre-trained models (like GPT, BERT, or Vision Transformers) to specific use cases are also useful, allowing you to create specialized applications without starting from scratch. Leveraging pre-trained models and adapting them to new tasks with limited data is particularly useful in NLP and computer vision. 2. AI Models Deployme...
When developing software for safety-critical systems, whether in aerospace, automotive, medical, or industrial domains, engineers must ensure compliance with rigorous international standards such as DO-178C, ISO 26262, IEC 61508, and IEC 62304. Meeting these standards requires a high level of assurance in both software design and process maturity. To streamline development and accelerate certification, many organizations turn to pre-qualified software frameworks. These frameworks are purpose-built or previously validated to align with specific safety standards, significantly reducing certification costs and risks. They are often accompanied by certification kits containing safety plans, test evidence, traceability data, and tool qualification artifacts that fit into a project’s overall safety case. In this blog post, i will review and list few of the popular safety-certifiable / pre-qualified software frameworks commonly used in safety-critical systems.