In a recent YouTube video, renowned AI experts Gary Marcus and Michael Wooldridge discussed the “tsunami of AI bullshit” sweeping across the tech industry. This candid conversation humorously highlights the growing trend of people claiming to be AI experts, without the in-depth knowledge and experience that truly warrant the title. Both Gary Marcus, a professor emeritus of psychology and neural science at New York University, and Michael Wooldridge, a computer science professor at the University of Oxford, have extensive experience in AI research, making their critique even more compelling.
Contrary to this wave of overnight “AI experts,” my own journey through the world of artificial intelligence is a testament to the fact that the path to success is often paved with passion, persistence, and countless challenges. Allow me to take you on a fascinating adventure through the unpredictable and exciting world of AI. This is the story of my professional journey, beginning during the bleak AI winter, to becoming a neural network pioneer, and ultimately exploring cutting-edge developments in the field today.
Adventure trip into the Heart of AI and Neural Networks
In 1993, the world of artificial intelligence was clouded by skepticism, but I dared to venture into the enigmatic realm of neural networks during my graduation year. Little did I know that this bold decision would ignite a lifelong passion that would shape my future.
Under the guidance of my brilliant teacher Prof Parogama Sen, a physicist by training, I embarked on a unique learning journey. Her hands-on approach (literally using pen and paper) transformed the abstract concept of learning in neural networks into something tangible, helping me fall in love with a subject many deemed impossible.
As I dove deeper into the world of neural networks, I found myself inspired by the possibilities they presented, and dreamt of the futuristic landscapes described by Isaac Asimov. My enthusiasm led me to the lab, where I took on the challenge of training mini neural networks to identify alphabets. Despite facing obstacles like system memory limitations and programming language constraints, my teacher’s encouragement to try C programming offered a glimmer of hope.
Throughout my Masters, my passion for AI only grew stronger. I tackled a variety of projects, designing an unbeatable tic-tac-toe playing AI agent, crafting expert systems, and even dabbling in knowledge graph creation. Each new discovery fueled my enthusiasm.
In 1996, fate smiled upon me as I was offered a Lecturer position, presenting an opportunity to share my passion for AI and neural networks with eager students. Determined to equip them with the skills needed to succeed, I introduced C-based practicals for neural networks. Together, we embarked on a year-long learning quest that began with the basics of C programming and culminated in the exploration of advanced neural network concepts.
Charting New Territories
In 2003, driven by a desire for academic growth, I made the difficult decision to pursue a PhD while working full-time. Although I had to compromise on my chosen subject, the knowledge of C and problem-solving techniques I had acquired during my neural network adventures proved invaluable during my foray into the world of Photonics.
Fortune smiled upon me once again as I was awarded the esteemed DAAD fellowship to continue my PhD research in Germany. Embracing this unexpected opportunity, I delved into the fascinating domain of Semiconductor Optical Amplifiers, expanding my horizons and challenging myself to grow as a researcher.
After completing my PhD in 2010, I eagerly returned to teaching, my passion for AI burning stronger than ever. However, the winds of change had swept through academia, and neural networks were regrettably removed from the curriculum. The loss left a void in my professional life that I was determined to fill.
Fuelled by an unwavering passion for AI, I ventured beyond the confines of traditional academia, exploring the AI industry, blogging, and online courses. I sought new opportunities to apply my knowledge and expertise, refusing to let the flame of my love for AI be extinguished.
Turning the Page: Embracing New Opportunities
One day, as if destiny had intervened, Packt Publishing approached me with an opportunity to write a book on TensorFlow and Deep Learning. This serendipitous encounter not only expanded my understanding of the AI landscape but also introduced me to influential collaborators like Antonio Gulli, a powerhouse in the world of AI.
As my professional network flourished, I found myself immersed in exhilarating ventures, such as the prestigious NASA space challenge competition. Our team’s outstanding performance placed us among the top 20 teams globally—a testament to our collective talent and dedication. Furthermore, I embraced the role of mentor on esteemed platforms like Udacity and Coursera, deepening my connections within the AI community.
Feeling invigorated by these transformative experiences, I took the bold step of early retirement from full-time teaching to redefine my path as a freelance AI consultant. Today, I collaborate with forward-thinking companies like FutureText, FounTech.ai, and DeepSightAILabs, solving complex AI problems and pushing the boundaries of technology. Alongside this exciting new career, I continue to share my passion for AI as an online lecturer at prestigious institutions such as Oxford, nurturing the next generation of AI enthusiasts.
My professional journey through the fascinating world of artificial intelligence serves as a vivid reminder that success is often built on the foundation of passion, persistence, and a willingness to embrace change. Far from the overnight “AI expert” phenomenon, my story is an illustration to the power of sustained effort and unwavering commitment to the field.
From my humble beginnings during the AI winter to my current ventures as a freelance AI consultant and online lecturer, my journey has been marked by countless challenges and opportunities that have shaped me into the AI enthusiast I am today.
As we stand at the precipice of exciting new developments in AI, let us remember that the path to expertise is anything but a sprint. With a steadfast dedication to learning and growth, the wonders of AI can be unlocked over time, just as they have been for me over the past 30 years (1993-2023).
When people in mid or senior positions ask me how they can change their careers to the AI field, I often advise them to grow in their existing domains and explore how AI can be applied to their area of expertise. Once they have identified potential applications, they can then collaborate with AI experts to make their ideas a reality.
Remember, the journey to success is not a day’s affair—it is a lifetime of unwavering passion, persistence, and an undying love for the extraordinary world of artificial intelligence. The key is to build bridges between your current expertise and the vast potential of AI, working together to create a more intelligent and innovative future.