MALIK UMER BLOG

The hardware behind powerful AI applications plays a crucial role in enabling the sophisticated computations and massive data processing required for these technologies. As AI models, particularly large language models (LLMs) and deep learning systems, have grown in complexity, the demand for specialized hardware has increased. Here’s an overview of the key hardware components and architectures driving powerful AI applications:

Finding your career sweet spot is a lot like finding the perfect cup of coffee, it takes some experimenting, a bit of patience, and a willingness to figure out what really works for you. It’s that magical place where what you’re good at, what you love, and what the world needs all overlap. When you’re in it, work stops feeling like a grind and starts feeling more like an extension of who you are. But getting there isn’t always straightforward, so let’s break it down into a journey you can actually follow.

In today’s rapidly evolving digital landscape, artificial intelligence (AI) is no longer just a buzzword reserved for tech experts and researchers. It’s a transformative force reshaping industries, professions, and everyday life. Whether you’re a student, entrepreneur, marketer, educator, or simply a curious learner, mastering certain AI tools can significantly enhance your productivity, creativity, and problem-solving abilities. Here are some of the top AI tools that everyone should consider learning and using in modern times.

From composing music and generating poetry to designing buildings and creating digital art, Artificial Intelligence is now dabbling in the once-exclusive domain of human creativity. But this raises a profound question: Can robots—or AI—ever be truly creative, like humans? Or are they just mimicking patterns? In this blog, we’ll explore the evolving relationship between AI and creativity , how AI creates, what it lacks, and whether it can ever match the depth and originality of the human mind. What is Creativity, Really? Before diving into comparisons, it’s important to first understand what creativity truly means. Creativity is often defined as the ability to generate ideas that are original, novel, and valuable. It’s not just about thinking outside the box-it’s a dynamic blend of imagination, emotion, intuition, and lived experience. Unlike purely logical processes, human creativity is deeply emotional and subjective. It is shaped by a wide range of personal influences, including ...

From industrial assembly lines to Mars rovers and surgical assistants, robots have become an integral part of the modern world. But what powers these marvels of engineering? Behind every smooth movement and intelligent decision lies a combination of cutting-edge technologies that work in harmony to make robots smart, responsive, and capable. In this blog post, we’ll take a deep dive into the core technologies behind robotics ,  how they function, how they interact, and why they are transforming every corner of our lives. 1. The Brain of the Robot: Artificial Intelligence (AI) At the core of many modern robots lies Artificial Intelligence (AI), a transformative technology that empowers machines to perform complex tasks with human-like intelligence. AI enables robots to recognize objects, such as people, obstacles, or tools, understand spoken language or commands, and make decisions in real time based on their environment. These capabilities have made robots significantly more ad...

When you walk into a job interview, you’re not just being evaluated, you’re also evaluating the company. One of the most important things to assess is the company culture, how people behave, work together, and make decisions. While many guides suggest asking questions to uncover this, there's another powerful tool: observation. You can learn a lot about a company’s environment just by paying attention to what’s happening around you. Here's how to do it effectively.

In today's technology-driven world, where software controls everything from medical equipment to airplanes, writing safe and dependable code is not just a best practice, it's a necessity. Whether you're developing a mobile app, a web platform, or embedded software for safety-critical systems, following principles of safe programming can make a crucial difference in ensuring your software is robust, secure, and maintainable.

Preparing for a coding interview is a journey that requires a blend of technical mastery, strategic practice, and mental resilience. Whether you're aiming for a role at a top tech company or a fast-growing startup, a strong performance in coding interviews can open doors to exciting opportunities. But success doesn't come overnight, it demands consistent effort and a structured approach. “If you fail to prepare, you are preparing to fail.” — Benjamin Franklin This guide draws upon real-world experience to walk you through the entire journey: from  getting your first coding interview , to  preparing for it , and ultimately  navigating the interview process with confidence .

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.

Safety-critical systems are those whose failure can result in severe harm to people, property, or the environment. As such, their development necessitates adherence to stringent engineering practices and compliance with rigorous regulatory standards, such as DO-178C (aerospace), ISO 26262 (automotive), IEC 61508 (industrial), and IEC 62304 (medical devices). These systems are predominantly found in domains such as aerospace, automotive, healthcare, and industrial automation. They typically follow structured and plan-driven development lifecycles, most often based on the V-model. Development in this context is characterized by comprehensive documentation, multiple big teams, thorough verification and validation, and extended release cycles to manage complexity and ensure safety assurance. Meanwhile, Agile methodologies have gained widespread acceptance across many areas of software development, offering benefits such as increased adaptability, faster feedback loops, and enhanced stakeho...

  Scrum promotes transparency, inspection, and adaptation by focusing on continuous improvement, requirements flexibility, user involvement, and delivering quality products. Scrum aligns with the values and principles of the Agile Manifesto, which gives importance to people, communication, the product, and flexibility.  Successful use of Scrum depends on the team becoming more proficient in practicing the values of c ommitment, focus, openness, respect, and courage. This post outlines the main principles of the scrum project management method.

As artificial intelligence (AI) continues to revolutionize industries, its impact on cybersecurity is equally important. While AI can be used to enhance security measures, it can also introduce new kinds of threats. AI influences cybersecurity in 3 dimensions: enhancing cybersecurity through the use of AI s uch as detecting threats and identifying anomalies, exploitation of   AI by cyber criminals to launch more sophisticated and targeted attacks, and s ecuring AI systems / models   by protecting the privacy and security  of data that is used to train and power AI algorithms.  In this blog post, we’ll explore how AI is transforming cybersecurity, the opportunities it presents, and the challenges it brings.

Generative AI is transforming the landscape of software development by automating coding tasks, improving software quality, and enhancing developer productivity. With advancements in Large Language Models (LLMs) like OpenAI’s GPT, Google’s Gemini, and Meta’s Llama, Generative AI is proving to be a game-changer in how software is written, debugged, tested, and maintained. Software developers and tech companies must stay abreast with the current trends in AI technology and incorporate AI tools in their environment to stay competitive, stable and profitable. In this blog post, we explore the key applications of Generative AI in software development, the benefits it brings, and how developers can leverage this technology to streamline their workflows.

I joined College of Aeronautical Engineering, NUST, Pakistan in November 2001 to pursue Bachelor of Avionics Engineering degree, which i completed in October 2005 with a GPA of 3.42.  Now after many years when i reflect upon my experience in college, i can recall few strategies which helped me to make the best of my college time. Remember that college is the most important part of your academic career and your whole professional life ahead may be influenced by how you utilize your time in college. Although the guidelines specified below may seem very ideal, but trust me, adopting these practices will change your life and your professional career. Successful people have the habit of working hard consistently with determination and not just focus on performing well in one exam. Succeeding in college requires a mix of academic, personal, and professional strategies. Here are some detailed tips to help you excel in your college degree: 1. Develop a Strong Academic Foundation Attend Cla...

The relationship between regulatory policies and innovation in technology is complex and can vary depending on the nature of the regulation, the industry, and the specific technology in question. S ome people argue that regulations hinder innovation by introducing extra costs and constraints to the business, others believe that well-crafted regulations can actually drive innovation by establishing standards, improving product quality, promoting competition and enforcing ethical practices. P olicy makers must meticulously craft regulations that provide a good trade-off between the need for social and environmental protection and the goal of promoting innovation and competitiveness. Here’s an overview of how regulatory policies can both hinder and foster innovation:

DARPA (Defense Advanced Research Projects Agency) has been a driving force behind many groundbreaking innovations that have profoundly impacted technology, science, and everyday life. Here are some of the most notable innovations initially funded or started by DARPA:

In the context of programming languages, safety refers to design features of the language that prevent or reduce the likelihood of  undefined behavior  during execution of a program  due to  programming errors . It means that a "safe" language enforces rules that help developers avoid common mistakes, making programs more robust, predictable, and secure. The programming language which guarantees some level of safety allows you to focus on implementing your core logic rather than spending time on testing and refactoring to make your code safe. The safe languages ensures that programming errors (not logic errors) are trapped or avoided and the software crashes or throws an exception when it occurs.

The success or failure of a software application may be defined by it's  User Interface (UI)  design. A mobile application with a non-intuitive UI design may be abandoned or uninstalled by the user after first impression resulting in loss of business to the company. In the domain of safety-critical applications such as healthcare or transportation, poorly incorporated UI design may result in erroneous selection of input by the user, which may have catastrophic effects. In general, poor UI design can lead to frustration, confusion, and inefficiency for users. "People ignore design that ignores people.” (Frank Chimero) Scientists and researchers have studied and defined the principles and practices to improve the usability of interactive applications. Big tech companies have translated those general set of principles / heuristics to domain specific UI design guidelines. The main objective of UI design is to create a positive first impression and attracting or retaining customers...

The concept of conscious machines is a fascinating and controversial topic that lies at the intersection of artificial intelligence (AI), neuroscience, philosophy, and ethics. It explores the idea of machines not only performing tasks or mimicking human behavior but also possessing consciousness—an awareness of themselves and their surroundings. The concept of conscious machines is still speculative and futuristic, which is beyond current technological capabilities and delves into the realms of philosophy and science fiction. Definition of Consciousness Consciousness in Humans: Consciousness is typically defined as the state of being aware of and able to think about one's own existence, thoughts, and environment. It involves subjective experiences, self-awareness, and the ability to reflect on these experiences. Consciousness in Machines: When discussing conscious machines, question is whether a machine or AI system could ever have a subjective experience, self-awareness, or the a...