Hi all, my name is Mark Oxley.
My journey into the world of technology began at the age of 11, sparking a lifelong passion for software development and innovation. This early start laid the groundwork for a highly diverse and impactful career. I contributed to the development of world-leading ERP software in the 1990s, gaining invaluable experience in building large-scale, enterprise-level systems. Later, I focused on developing critical physical security software for numerous financial institutions and the Ministry of Defence, where precision and reliability were paramount. These experiences honed my ability to deliver robust and mission-critical solutions.
Today, my primary focus is in the fascinating and rapidly evolving field of deep learning and its transformative applications in robotics. I am driven by the desire to explore and push the boundaries of what's possible with artificial intelligence. My research centres on the design and implementation of novel deep learning architectures and algorithms, with a particular emphasis on how these technologies can enable robots to perceive, reason, and act in complex environments.
My approach to deep learning research is deeply rooted in my extensive software development background. I understand the importance of building robust, efficient, and scalable systems, which is crucial for deploying deep learning models in real-world scenarios. My proficiency in a wide array of programming languages, including C, C++, C#, Pascal, Go, and JavaScript, enables me to experiment with diverse deep learning frameworks and tools.
Moreover, my experience with various operating systems (Windows, Mac, Linux, AS/400, Arduino, SBCs) and hardware platforms allows me to optimise deep learning models for specific environments, from high-performance cloud servers to resource-constrained embedded devices. I am particularly intrigued by the intersection of artificial cognition, deep learning and robotics, where intelligent algorithms can empower machines to perceive, reason, and act in complex environments.
My research interests within deep learning are broad and multifaceted. I am particularly drawn to the areas of artificial sentience, as well as the complexities of memory. I am fascinated by how deep learning can enable machines to understand and interpret visual information, process and generate human language, and learn through trial and error.
My multifaceted background, encompassing software development, deep learning research, robotics, and creative writing, gives me a unique perspective and a diverse skill set. I am passionate about pushing the boundaries of technology and exploring the endless possibilities of artificial intelligence.
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