Fetch Token ICO
September 5th 20181 year ago Visit Website
September 5th 20181 year ago View Whitepaper
Fetch Token (FET)
Fetch brings the world closer together and delivers power to the individual. We’ve built the world’s first truly smart ledger, allowing data to act autonomously. Using machine learning and AI technology, we enable data to cooperate, solving problems instantly and presenting answers directly to you. Fetch is the missing critical …Read more...
Fetch brings the world closer together and delivers power to the individual. We’ve built the world’s first truly smart ledger, allowing data to act autonomously. Using machine learning and AI technology, we enable data to cooperate, solving problems instantly and presenting answers directly to you.
Fetch is the missing critical infrastructure for tomorrow’s digital economy....Read less
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Fetch Token Team
Software Developer & Ecosystem Coordinator
NLP and data mining specialist in geolocation, natural language and IoT. Ex-PlayStation developer with an MSc in Advanced Computer Science from the University of East Anglia.
Co-Founder & CEO
An innovation entrepreneur, founding investor in DeepMind with a record in revolutionising trading in steel sector and now changing the way we transact and travel.
Co-founder and CTO
Producer of the successful a-life Creatures series of games and early developer at Deepmind. His thirty years’ experience in software, ten as a CTO, are now focussed on crypto-economics.
Co-founder and CSO
Professor at Sheffield and established scientist in advanced machine learning AI who bridges real world and academia and is inspired by the opportunities AI brings to modern society.
Senior Machine Learning Scientist
Highly-cited researcher in AI excited by the potential of intelligent systems to create the economy of the future. PhD in machine learning from University College London with earlier training in physics and mathematics.
Senior Software Engineer
A scientist and innovator, that benchmarked D-Wave Two, co-authored 35 patent applications who has been working more than two years full time building distributed ledgers.
Machine Learning Scientist
Theoretical physicist and machine learning scientist. Marcin's doctoral research explored topics on coherence and emergent behaviour in quantum systems. His current work focuses on machine learning applications for modelling autonomous economic agents in distributed ledgers.
Digital Marketing Coordinator
A qualified journalist with a passion for social media. He has five years of experience at Sky News and BT Sport and has managed the social media accounts of Panama’s largest language school.
Senior Software Engineer
Research engineer in machine learning with experience developing deep reinforcement and generative models, solving problems in digital health, audio/video media and NLP. PhD developing computational auditory models from University of Surrey.
Experienced software engineer and scientist. Previously worked at Bloomberg and Siemens Corporate Research. MSc in Solid State Physics and PhD in High Temperature Superconductors.
A seasoned software engineer and architect with experience in dynamics simulations, low-level protocols, 3D graphics and virtual machines. He has a strong artificial life and mathematics background.
AI & ML Research Strategist
Senior AI research scientist and mathematician at the University of Cambridge, researching the application of AI/ML to medicine. PhD in the application of AI to computational chemistry from Leeds University.
Senior Software Engineer
A engineer, researcher and technology enthusiast with experience of distributed ledgers, video codecs, networking and low level software optimisation. Strong engineering and mathematical background, he obtained his degree in Electronic Engineering from University of Surrey.
Expert on Multi-Agent Systems and logical modelling with a background in software engineering. PhD and MSc in Artificial Intelligence from King's College London with excellent academic track record and publications in AI conferences and journals.
Experienced software engineer and FPGA specialist, previously worked at BAE in high speed communications systems. MEng from The University Of Edinburgh.
Commercialisation and Marketing Director
International experience in software start-ups and bringing disruptive, high-growth tech products to commercial success. MBA from Judge Business School, University of Cambridge.
Dynamic people person with a wealth of commercial experience and a wonderful understanding of maximising peoples' potential. Driven and focused, with humour and respect for everyone she meets. Principled and determined to make the world better. Now bringing a sprinkle of amazing to the Fetch team.
Blockchain Research Engineer
Former software and ML engineer with postgraduate degrees in economics from the University of Cambridge and the Paris School of Economics (ENS, Sorbonne). Research focused on applying mechanism design to DLTs.
Machine Learning Engineer
Architecting ML models & algorithms for expressing individuals’ actions and preferences. With a background in cognitive sciences & NLP, Sebastian holds degrees in both Mathematics and Psychology.
Senior Research Scientist
Scientific researcher with many years of experience in areas ranging from physics and mathematics, to blockchain technologies and cryptocurrencies. Holds a PhD in theoretical high energy physics from University of Amsterdam, and has several highly cited, peer-reviewed scientific publications, as well as a considerable number of patent applications.
Research Scientist Consultant
Research Scientist at University of Queen Mary London with the speciality of Multi-user Information Theory, Network Coding, Algorithmics, Complexity Theory and Cryptography. DPhil (PhD) in mathematical logic from University of Oxford.
A multi-talented IT Manager with over 15 years experience. Well-versed at supporting fast moving, dynamic development teams. Previously designed, implemented and managed an onsite data-centre running a massively multi-player online game for the BBC.
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