Today we're releasing a preview of AIDO Cell, a world model of the human cell.
It simulates one cell across DNA, RNA, protein, through regulatory networks and whole-cell behavior. Not four models handing results to each other. One system.
i'm looking to hire a full time junior role:
- loves tech, startups, venture capital and entrepreneurship
- has built side hustles/ bussineses
- huge hardworking (996)
- highly organized
- great communication skills
- hungry as f*ck
- remote but availability to travel
- engineer degrees appreciated
you'll work directly with me
if interested, dm me your cv and tell me what you are the best at
if you see this i'd appreciate a repost for visibility!
🎬 Introducing: Character Mixing for Video Generation
Imagine Mr. Bean stepping into Tom & Jerry's world 🐭✨ Now it's possible! ✨
Our framework first enables natural cross-character interactions in text-to-video generation while preserving identity and style fidelity.
Everything you love about generative models — now powered by real physics!
Announcing the Genesis project — after a 24-month large-scale research collaboration involving over 20 research labs — a generative physics engine able to generate 4D dynamical worlds powered by a physics simulation platform designed for general-purpose robotics and physical AI applications.
Genesis's physics engine is developed in pure Python, while being 10-80x faster than existing GPU-accelerated stacks like Isaac Gym and MJX. It delivers a simulation speed ~430,000 faster than in real-time, and takes only 26 seconds to train a robotic locomotion policy transferrable to the real world on a single RTX4090 (see tutorial: https://t.co/bEkIlCKqdf).
The Genesis physics engine and simulation platform is fully open source at https://t.co/DhBv7NdyqH. We'll gradually roll out access to our generative framework in the near future.
Genesis implements a unified simulation framework all from scratch, integrating a wide spectrum of state-of-the-art physics solvers, allowing simulation of the whole physical world in a virtual realm with the highest realism.
We aim to build a universal data engine that leverages an upper-level generative framework to autonomously create physical worlds, together with various modes of data, including environments, camera motions, robotic task proposals, reward functions, robot policies, character motions, fully interactive 3D scenes, open-world articulated assets, and more, aiming towards fully automated data generation for robotics, physical AI and other applications.
Open Source Code: https://t.co/DhBv7NdyqH
Project webpage: https://t.co/SBNyhFB0yn
Documentation: https://t.co/3yuBoaealV
1/n
VIS 2024: DiffFit, Visually-Guided Differentiable Fitting of Molecule Structures to a Cryo-EM Map
CUDA-accelerated search, 0 manual tweaking
https://t.co/MRoBj0CzN5
https://t.co/a1x2YjodKh
By @RodenLuo, Zainab Alsuwaykit, @dawarkhan4, Ondřej Strnad, Tobias Isenberg, & Ivan Viola
In 2018, I started my journey at @RommieAmaro's lab working on mesoscale simulations of influenza virus. After ~5 years in the making, I'm happy to share that the paper is now published in @ACSCentSci!
https://t.co/nSinT0USTN
Instead of a 🧵, I made a trailer 🎞️🎥! Sound ON 🔊
WINNERS announced of the DESIGN X BIOINFORMATICS student competition! 🥳 Please see the details and winning entries here: https://t.co/DkNDPMxChi #design#Bioinformatics Students from @RCA@KAUST_News Thanks to all contributors to this competition!
Inspired by several videos and did this as my Houdini Hello ATP Synthase project. Many aspects can be improved, though. More tutorials will be very appreciated!
Thanks:
@UCSFChimeraX https://t.co/ksukenLGST
@jeroen_claus https://t.co/0B7C5vI8zi
@entagma for incredible tutorials
There is currently much interest in understanding and increasing the transferability of bottom-up coarse-grained models. This paper was an early attempt at temperature transferability @JChemPhys https://t.co/1iooPqgf7i #compchem
@whereismena added Mixed Reality support to our MesoCraft tool (rapid modeling of mesoscale structures)! Now operational on the HoloLens 2.
Omar will be spending his summer working on personal graphics projects, and is looking for a Master's program.
https://t.co/Y8QD04ZrQ7
Have continued playing around with molecular scenes with #geometrynodes in #b3d. Procedural actin filament building. You can customise filament properties, other proteins floating etc
Neurons in a culture dish trying to form connections with each other. Sped up to show 8 hours in 1 second. Bright spots are the neuron nuclei. We have 100 billion of these in our brain. Amazing.