What we’re about
This group is for all people interested in DIY projects, prototypes, electronics, hardware/software, and a community of technologists.
Find out more about us at: http://www.mocomakers.com
We meet in person once a week - every Thursday night - so look out for those events in particular. The topics rotate.
Upcoming events (4+)
See all- Woodcraft - Rig dissassembly and planningNew Makerspace - (RSC), Rockville, MD
Following a very successful display at the NoVa Maker Faire last weekend -
https://www.linkedin.com/feed/update/urn:li:activity:7254561755027161090/
we now turn to disassembly of a large wooden frame. The original dimensions where 10' by 8' - and each panel is 4'x8' ..
Let's cut these down into manageable storage sizes, and plan how future re-assembly could be done easier and safely.
Only use tools you are trained on, and protective eye wear must be worn when working with any power tools and our wood pieces.
Otherwise, all backgrounds and skill sets are welcome to join us as we 'figure it out'.
- Computational Bio & Pharma - Working Group for Rare Disease - VirtualLink visible for attendees
Let us plan continue planning for the 2023/2024 neurofibromatosis research from our biotech citizen science community.
We need a mathematical and computational review of a new algorithm for cancer drug screening using quantitative High Throughput Screening data (where wells of drugs are tested at various concentrations, and the luminescence of the well relates to cell death).
This will be a working meeting where for a possible new algorithm similar to the delta S algorithm in our recently published article:
https://pubmed.ncbi.nlm.nih.gov/38136356/If this is your first time attending, please review this getting started guide: https://www.mocomakers.com/wiki/comp-bio/
See also - https://sites.google.com/dmvpetridish.com/comp-bio
Additional info on https://sites.google.com/dmvpetridish.com/comp-bio/
We need:
- Mathematicians/Statisticians
- Biologists
- Python developers
- Anybody able to contribute to a scientific evaluation a biomedical assessment
Please join this discussion and help support research for a rare genetic disease and cancers in general.
- Computational Bio & Pharma - Working Group for Rare Disease - VirtualLink visible for attendees
Let us plan continue planning for the 2023/2024 neurofibromatosis research from our biotech citizen science community.
We need a mathematical and computational review of a new algorithm for cancer drug screening using quantitative High Throughput Screening data (where wells of drugs are tested at various concentrations, and the luminescence of the well relates to cell death).
This will be a working meeting where for a possible new algorithm similar to the delta S algorithm in our recently published article:
https://pubmed.ncbi.nlm.nih.gov/38136356/If this is your first time attending, please review this getting started guide: https://www.mocomakers.com/wiki/comp-bio/
See also - https://sites.google.com/dmvpetridish.com/comp-bio
Additional info on https://sites.google.com/dmvpetridish.com/comp-bio/
We need:
- Mathematicians/Statisticians
- Biologists
- Python developers
- Anybody able to contribute to a scientific evaluation a biomedical assessment
Please join this discussion and help support research for a rare genetic disease and cancers in general.
- Robotic and Autonomous Systems: Machine Learning Tools for Modeling - Open TalkNew Makerspace - (RSC), Rockville, MD
Join us for a special talk by a fantastic mechanical engineer Kaan Beyduz.
Kaan will provide our group with an introduction to control systems, with a particular focus on feedback controls. Control systems affect tons of projects, including anything with motion, or systems that are regulated.
Design of both mechanical and electrical systems are motivated by reaching an optimal operating condition - given specific design goals. Getting effectively to this optimum state is a very big deal for systems design! In this open seminar, we will explore how to use machine learning tools to guide you to model and design for a variety of systems. First we will focus on how to model several use cases that need to optimize operating conditions. Then we will use machine learning tools to reiterate the design. The material is tailored for hobbyists, requiring no prior experience in mechanical/electrical system and machine learning — just a passion for learning and experimentation.
All backgrounds, skill levels, and active learners are welcome to this amazing presentation.
Follow along with Kaan's latest startup Fluffy NAS on LinkedIn: https://www.linkedin.com/company/fluffy-nas
Kaan has a masters in mechanical engineering from Berkeley, and you can checkout one of his funky/cool control systems here: https://www.youtube.com/watch?v=OzjbS6ZvuW8