betse
habitat-lab
| betse | habitat-lab | |
|---|---|---|
| 4 | 3 | |
| 51 | 1,750 | |
| - | 4.2% | |
| 4.7 | 9.2 | |
| 7 months ago | 3 days ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | MIT License |
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betse
- New neural network architecture inspired by neural system of a worm
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What ever happened to the first cryogenically frozen humans?
Jeanne Louise Calment lived 122 years and 164 days [1]. Doubling the lifespan, 240+ years, is most certainly not possible, not reasonable, using diets, exercises, and so forth: if it were, we would have already been there. Even if we could push the body using current technology, no one will want to live 100+ years (from age 70 to 160+) as an old person, being in pain constantly, fighting all kinds of cancers.
Therefore, the only way I can see a lifespan push, not only x2, but x10, or even x100 (10,000 years—once you get x3/x4, it probably scales trivially) is through 100% organ regeneration and 100% programmatic control over the morphospace. Broke an arm? Amputate the limb and grow another one back, your cells already did it before. Liver cancer? Regrow another liver. Heart issues? Make another heart. Spend all the years above 35 as a perpetual 35 year old, eventually in the bodyshape of Chris Hemsworth/Margot Robbie (to keep the examples in Australia). This scientific fancy is somehow grounded in the mind-enlarging perspectives coming from Dr. Michael Levin's lab [2]. Personally, I believe enough in their thesis, programmatic control over cells, that I started learning about their work, BETSE, Bio Electric Tissue Simulation Engine [3], and try to build on top a BioElectric Simulation Orchestrator, BESO [4]. Most probably, however, we won't see 100% human organ regeneration in our regular lifetimes, but never say never.
[1] https://en.wikipedia.org/wiki/Jeanne_Calment
[2] Speaking with Cells: the Electrical Future of Regenerative Medicine with Dr. Michael Levin https://www.youtube.com/watch?v=RzGaakopAKU
[3] https://github.com/betsee/betse
[4] https://github.com/daysful/beso
- Betse: Bio Electric Tissue Simulation Engine
- From Wound Healing to Regeneration
habitat-lab
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[D] Looking for open source projects to contribute
There are plenty of them out there. I spend a lot of time contributing to open source projects like Habitat-Sim https://github.com/facebookresearch/habitat-sim and Habitat-Lab https://github.com/facebookresearch/habitat-lab which have a ton of open issues and code maintaince stuff that we would welcome contributions of.
- Accelerate PPO training
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Facebook AI Introduces Habitat 2.0: Next-Generation Simulation Platform Provides Faster Training For AI Agents With Tactile Perception
Github: https://github.com/facebookresearch/habitat-lab
What are some alternatives?
CfC - Closed-form Continuous-time Neural Networks
ai2thor-rearrangement - 🔀 Visual Room Rearrangement
beso - BioElectric Simulation Orchestrator
Autonomous-Ai-drone-scripts - State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
mini-cheetah-tmotor-python-can - Python Motor Driver for Mini-Cheetah based Actuators: T-Motor AK80-6/AK80-9 using SocketCAN Interface
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
carla - Open-source simulator for autonomous driving research.
habitat-sim - A flexible, high-performance 3D simulator for Embodied AI research.
holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research.
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
bootcamp - Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
docarray - Represent, send, store and search multimodal data