Presenters
Hein-Pieter van Braam, Prehensile Tales
Founder and CEO of Prehensile Tales B.V. and Ramatak Inc. I have a wide range of interests, the line between professional and personal interests is very blurry for me. I enjoy programming 'system level' programs, mostly things that users of computers don't directly interact with. I also enjoy building automation systems to help other engineers do their jobs faster and more efficiently. Some of the things I work on in my spare time include: * NotABug.org - a free code-sharing site like github for free software. * GrueLang.org - an attempt at writing a better interactive-fiction implementation system...
JJ, Ben-Joseph, InQTel
JJ Ben-Joseph is the founder and CEO of TensorSpace, a stealth-mode AI/ML startup. He's a computer scientist who saw the writing on the wall and pivoted into pandemic prevention well before COVID-19, becoming a venture capitalist focused on biosecurity. He's also one of the few people who thinks AI is profoundly underhyped (although that might have changed in 2022). Before starting his own company, JJ worked at the strategic venture capital firm In-Q-Tel...
Eric Drexler, University of Oxford
Dr. Drexler is widely known for his seminal studies of advanced nanosystems and scalable atomically precise manufacturing (APM), a prospective technology using arrays of nanoscale devices to guide chemically-reactive molecular encounters, thereby structuring matter from the bottom up. His 1981 paper in the Proceedings of the National Academy of Sciences established the fundamental principles of APM, and his 1992 book, Nanosystems: Molecular Machinery, Manufacturing, and Computation...
Summary:
What are you trying to do?
We want to design a user-friendly nanotechnology design system that includes beautiful visualization and molecular dynamics.
How is it done today?
No similar system exists today.
What is new in your approach?
We have a well-funded project with an experienced project manager who has experience in visualization and game design that can gather a team. We have known interest from people with experience in Python/machine learning.
If you are successful, what difference will it make?
Encourage the advancement of nanotechnology R&D by making it accessible to the general public and citizen scientists.
Cost and Timeline?
It will cost $200k-300k for a minimal viable product, with a full version (continuous maintenance) requiring $1m per year. The time for first demo – four to six months. Actual implementation must start Aug 1, 2022. Final version will be ongoing.
What are the midterm and final exams to check for completeness?
Midterm (create a demo; demo oriented development): Build a way to take existing components that dense covalent structures Eric Drexler made in the 90s and make them well simulated and understood. Allow people to create more complex machines and have an accurate simulation as if you could build it. Simulate it in close-real time. It shouldn’t be a rehash of what people have already seen. The final exam will be the ongoing maintenance of the project.
