Jorge Jabón ©

PhD Candidate I Motorcycle Race Engineer | Mechanical Engineer | MsC Industrial Mathematics.

~How can we know the limits if we do not try to overcome them?~

[Jorge Jabón © @JJab0n]

Fuimos capaces de construir una auténtica moto de carreras, pero la suerte en pista no estuvo de nuestro lado. Aún así 3er mejor equipo en la clasificación general de la V edición @MotoStudent ...
Volveremos con más fuerza! @UPM_Motostudent #morethanateamwearefamily #nano3 🐢🏁

[Towards F1 Analysis @f1dataanalytics]

Tomorrow the first #F1 race weekend of 2023 starts!

You'll probably see a lot of data 📈 flying around your timeline.

Why not analyze the data yourself?! Let me show you how with #Python 👀

Start with firing up a Jupyter notebook and installing Fastf1:

[MIT CSAIL @MIT_CSAIL]

MIT researchers found that massive neural nets (e.g. large language models) are capable of storing and simulating other neural networks inside their hidden layers, which enables LLM to adapt to a new task without external training: https://t.co/sValGb5S0S

[Juan 🏎️ @fastestlap_f1]

What is load transfer? Accelerations alter the vertical load balance of the car. Weight shifts forward when braking, left tires get loaded in right hand turns, and viceversa.

Also, you can see how downforce increases the total load as velocity increases

[Lawrence @Butch_on_Racing]

Anyone for a functional additive manufactured con rod, nice work by BDN Automotive #additive #engineering

[Juan 🏎️ @fastestlap_f1]

Going 3D meant I've had to learn OpenGL to make Fastest-lap look like a video game!

To date, I am able to import models and move them around. Colors, textures, and decals coming next!

This will be a game changer in vehicle dynamics! Analyses will be way clearer and enjoyable

[Tamy Boubekeur @boubek]

Green coordinates can model 3D space deformations from quad and triquad control cages when expressed on a per-corner basis. Handy for high quality FFD. Check our SIGGRAPH Asia 2022 paper: https://t.co/NEsLBPoxlf. Jean-Marc Thiery will present it this week if you attend.

[Srinath Sridhar @drsrinathsridha]

How can we generate 3D shapes from text descriptions *and* recursively edit the generated shapes using new phrases? At @NeurIPSConf, my PhD student @RaoFu79761158 will present ShapeCrafter, a method for recursive text-conditioned shape generation. Thread (1/9) 🧵#NeurIPS2022

[Google DeepMind @GoogleDeepMind]

Today in @Nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: https://t.co/E18DezRPTL & https://t.co/SvHgsa0SNV 1/

[Dan Casas @dancasas]

Do you need to compute contact deformations in real-time dynamic simulations? Look no further!

Our @SIGGRAPH '22 paper proposes a learning-based method (who doesn't?) that enriches fast subspace deformations to model accurate contact.

https://t.co/lIkkhfjkwI

A🧵with details⬇️

[Noam Aigerman @AigermanNoam]

Excited to finally share *Neural Jacobian Fields* - our SIGGRAPH 2022 paper on learning highly-accurate deformations and mappings of 3D meshes, in a triangulation-agnostic manner. https://t.co/EpFqzYbLGw
(1/10)

[Alex Mordvintsev @zzznah]

Isn't it strange that, despite decades of work in generative models, denoising diffusion was developed so recently?

[Juan 🏎️ @fastestlap_f1]

Formula 1 drivers use the lift-and-coast technique when they need to save fuel. But how does it work? How much fuel can be saved per lap? And how does it affect the laptime?

This post tries to answer those questions 😁

@f1 @Medium

https://t.co/zCbZP0Jd1H

[Keenan Crane @keenanisalive]

Little experiment with direct editing in @UsePenrose.

The beauty of Penrose is that it automatically generates diagrams for you, from simple CSS-like code. But what if you want to make some small tweaks—while respecting constraints?

We're working on it…
https://t.co/2U27NtO2V3

[Juan 🏎️ @fastestlap_f1]

[Russell, FP2] 1:29:938
[Fastest-lap, tuesday] 1:29:990

soooo cool 😳👊🏼

[Jorge Jabón © @JJab0n]

@_AlecJacobson Which technique are you using to produce such smooth deformations? VAEs? FFD? Thanks

[Rishabh (in SF) @rishabh16_]

🚨 My Graph Deep Learning extended tutorial has a new home!!!

It's finally up on my personal website:
https://t.co/EdfHc18L75

Do RT, share, and tag your GDL buddies if you find it useful 🙌🏻🙌🏻

[Sergio Corbera @Corbera_Sergio]

@Scugnizzo60 @Nebrija @matoxley @Spalders @DennisNoyes @OSCARHAROTASEND Yeahh the shape is too skeleton. My colleague and PhD student @JJab0n is now working on new techniques based on encoders for improve the design in the next iterations. We will see new chassis in the future!!

[Universidad Nebrija @Nebrija]

Queremos revolucionar el sector del #motociclismo. Usando el acero como material principal, hemos conseguido junto a @ArcelorMittalES imprimir en #3d un chasis de moto un 20% más ligero que los fabricados en otros materiales #FlyingSteel: https://t.co/dye72Sh8tB

[Sergio Corbera @Corbera_Sergio]

It is a reality! The power of #AI & #AM. The beginning of a new stage in chassis design. Algorithms and humans together to create a disruptive chassis. Thanks to @Nebrija and #ArcelorMittal

@matoxley @Spalders @DennisNoyes @OSCARHAROTASEND

[Oded Rechavi @OdedRechavi]

When the person who made the original discovery gets left out of the Noble prize