I see the future. Not the clairvoyant way, but I have a vision - an automated world, where people and intelligent machines co-exist in symbiosis.
1951 - UNIVAC, the first general purpose computer is introduced to the market, marking the dawn of the computer era. And yet another significant event has occurred a year earlier - in 1950, Alan Turing has published a landmark paper, "Computing Machinery and Intelligence", envisioning the thinking machine. Six years later, in the summer of 1956, at a workshop at the Dartmouth College organized by IBM scientists, the foundations of the future AI-research are laid. In the decades to follow, through ups and downs, the research continues, reaching critical mass during the 2000s along with the boom of the Internet. At that point, Internet and especially cloud computing allows large volumes of structured information to be accumulated (a.k.a. big data), which clears the road towards the modern deep learning projects and fuels the research on general artificial intelligence.
Today AI is already a part of the modern person's everyday life. Tesla, Google, Facebook, Duolingo, Microsoft and Apple have brought intelligent machine services to the end-user through self-driving vehicles, search engines, targeted advertising, human language translation, speech recognition and speech synthesis. Organization like Wolfram Alpha, Amazon, IBM, OpenAI and Salesforce are reinforcing the academic and business worlds with research and advanced B2B services. Companies, such as ABB Robotics (which is a multinational company with more than quarter million robots installed worldwide), Yaskawa Electric Corporation (a Japanese business that also produces industrial robots) and the German robot manufacturer KUKA Robotics are silently changing the way industries operate around the world. And the research flourishes, with quantum and genetic computing promising the computational power so much needed for advanced AI development.
Still overshadowed by the never-ending current events and breaking news about political crises, terrorist attacks, wars and ecological and public health disasters, there is a new species arising - the intelligent machine. The science and programming behind it lie on a fresh, unexplored field, where new ideas and paradigms wait to be discovered. I see myself as a part of the inventor's culture that uncovers new concepts and implements new programming techniques, improving machines' abilities to perform autonomously in aid of the humanity.
My entire life has been a preparation for this role. The coding skills I have gained during my career are essential in the field work. I have an enormous durst for knowledge, and I am studying like never before - there is considerable work, done by the community, especially in the fields of the neural networks and the deep learning. For me, staying on top of the recent developments is crucial, considering the fast pace, at which AI research and implementation progresses. The AI community is compact and highly specialized, so I'm looking for like-minded peers constantly. I feel strong gratitude towards all the people who have shared and continue sharing their research and knowledge online. To give back to the community, I have started the Bio-Inspired Computing project, consisting of a Facebook page dedicated to AI news, a Facebook discussion group and a wiki - a still very young, coding-oriented knowledge base, where I have already published the first articles on my recent research. My aim is to share my research with the public, while implementing it in practical business solutions. I believe that the one aspect of the greatest importance for such an endeavor is optimizing - intelligence is greedy for computational power, and the fast code and mathematical shortcuts directly translate into the end-product's quality. Because optimizing is a complex and time-expensive task, developing a reusable, well-maintained, well-documented codebase in my opinion is essential.
The road leads ahead. I dedicate myself to thinking outside of the box, to looking for inspiration at Nature, to searching for optimal mathematical solutions, and to be a pioneer at what I believe will improve people's lives and wellbeing - the intelligent machine.
-- Daniel Apostolov