I’ve had a long and interesting career that has spanned mechanical calculators, telephony viewed as a natural monopoly, a single MNOS transistor and smartphones. You can see more specific detail about my work at https://preciseai.co.uk/about-precise-intelligence/Throughout my life I’ve had three main technical interests:• Mathematics• Electronics and Computers• Speech and LanguageI have focused my energies on these throughout my career and personal life. As a hobby I have also loved learning languages. It is this ongoing combined fascination that has enabled me to finally discover the essential mathematics for Natural Language Understanding.Marconi –17 years: I worked on all aspects of speech coding and ran a government funded research program on speech recognition for five years. I designed the world's first human-quality text-to-speech system for the UK National Air Traffic Service (Automated Volmet) installed at Heathrow and other international airports. I also designed the worlds first standalone connected speech recogniser the Marconi SR128, which was flown in a BAC 1-11 civil aircraft, a Buccaneer fighter jet and a Wessex helicopter. At the end of this period I then designed many speech and text systems for telecoms.Telsis – 27 years: I set up Telsis, a leading international supplier of innovative text and voice services equipment. We initially focused on Voice Services Equipment, later expanding into SMS text messaging technology and then ISDN video services equipment. I was chairman for over 25 years and sales averaged out £10m+ per year - with customers in 40+ countries. I was very hands on with research and development. There was so much innovation during this period and there is a trail of patents.Precise Intelligence – 8 years: In 2014, I started to work full time on the problem of Natural Language Understanding – a mathematical problem of geometry. By disregarding previous work and applying my own unique experience of maths and linguistics, I identified the invariant features of language so that I could classify sentences, which led to the solution to Natural Language Understanding. The company’s research variant of an AI Assistant was used to investigate issues of context in human-quality conversations.In 2016 I discovered The Fundamental Theorem Of Cognition (TFTOC). A partial implementation of TFTOC was added to HPD, and by late 2019 it was possible to carry out a large number of Smoking Gun tests – which verified that TFTOC is essential for Natural Language Understanding.
