#DrivAerNet
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7. #EmFamília
8. #FOAMSTARS
9. #gaming
10. #maisvoce

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December 13, 2024 at 9:15 AM
🚀 BREAKING: MIT Unveils DrivAerNet++, Game-Changing AI Car Design Database!

This database consists of 8,000 EV designs, 39 TB of data, and some pieces of revolutionizing automotive engineering. Future of electric vehicles just got smarter!
December 30, 2024 at 11:42 AM
Principais etiquetas comentadas nos últimos 15 minutos 🧭:

1. #TGA
2. #DrivAerNet
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4. #CorpoACorpoNoVIVA
5. #EmFamília
6. #FOAMSTARS
7. #gaming
8. #maisvoce
9. #GirlsGeneration
10. #CHARTS

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December 13, 2024 at 9:30 AM
Principais etiquetas comentadas nos últimos 15 minutos 🧭:

1. #TGA
2. #ViverAVidaNoVIVA
3. #DrivAerNet
4. #SilentHill2
5. #perfectandcasual
6. #Cruzeiro
7. #CorpoACorpoNoVIVA
8. #EmFamília
9. #FOAMSTARS
10. #gaming

Pedido: Olá, @bsky.app, queremos um contrato!
December 13, 2024 at 8:45 AM
'Yeşil' otomobillerin ve elektrikli araçların geliştirilmesini hızlandırabilecek, aerodinamik de dahil olmak üzere en büyük açık kaynaklı otomobil tasarımları veri setini geliştirmişler.

8.000'den fazla otomobil tasarımından oluşan, ilk kez kamuya açılan DrivAerNet++'a bir bakış👇
Want to design the car of the future? Here are 8,000 designs to get you started.
DrivAerNet++, the largest open-source dataset for car aerodynamics developed to date, can be used to quickly train an AI model to generate novel car designs. This process could potentially lead to mor...
news.mit.edu
December 5, 2024 at 4:38 PM
#DrivAerNet++ otimiza designs aerodinâmicos: 39TB de modelos 3D ajudam #IA a projetar carros mais econômicos e autônomos. Grande avanço para veículos #elétricos e a gasolina.
December 13, 2024 at 8:24 AM
field of natural language processing and their strong potential in the field of image processing, this study innovatively proposes a point cloud learning framework called DrivAer Transformer (DAT). The DAT structure uses the DrivAerNet++ dataset, [4/7 of https://arxiv.org/abs/2504.08217v1]
April 14, 2025 at 6:00 AM
Principais etiquetas comentadas nos últimos 15 minutos 🧭:

1. #charge
2. #emgalego
3. #elétricos
4. #IronMaster
5. #edtwt
6. #edsky
7. #drugtwt
8. #drugsky
9. #Repost
10. #DrivAerNet

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December 13, 2024 at 1:45 PM
#MIT database of 8,000 new #AI-generated #EV aerodynamic designs DrivAerNet++ can shape future cars with high-fidelity computational fluid dynamics #CFD simulations while calculating the EV's efficiency & range without the need for a physical prototype.
livescience.com/technology/e...
December 24, 2024 at 9:01 AM
🚗 MIT engineers have released DrivAerNet++, an open-source dataset of 8,000 car designs with detailed aerodynamics.
This resource enables AI to generate innovative, fuel-efficient designs rapidly, accelerating automotive innovation and sustainability.

#AI #CarDesign #Sustainability
Want to design the car of the future? Here are 8,000 designs to get you started.
DrivAerNet++, the largest open-source dataset for car aerodynamics developed to date, can be used to quickly train an AI model to generate novel car designs. This process could potentially lead to mor...
news.mit.edu
December 6, 2024 at 7:59 AM
MIT engineers release DrivAerNet++, an open-source dataset of 8,000 car designs with aerodynamic data. This resource aims to accelerate AI-driven car design, enhancing efficiency and sustainability.
Want to design the car of the future? Here are 8,000 designs to get you started
Car design is an iterative and proprietary process. Carmakers can spend several years on the design phase for a car, tweaking 3D forms in simulations before building out the most promising designs for physical testing.
techxplore.com
December 5, 2024 at 4:47 PM
The largest open-source dataset of car designs, including their aerodynamics
エアロダイナミクスを含む自動車デザインの最大のオープンソースデータセット

🔺 255
💬 12
🔗 HN Post | Article
Want to design the car of the future? Here are 8,000 designs to get you started.
DrivAerNet++, the largest open-source dataset for car aerodynamics developed to date, can be used to quickly train an AI model to generate novel car designs. This process could potentially lead to more fuel-efficient cars and electric vehicles with longer range.
news.mit.edu
December 8, 2024 at 11:43 AM
MIT: News

Want to design the car of the future? Here are 8,000 designs to get you started.

MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.

news.mit.edu/2024/design-...
Want to design the car of the future? Here are 8,000 designs to get you started.
DrivAerNet++, the largest open-source dataset for car aerodynamics developed to date, can be used to quickly train an AI model to generate novel car designs. This process could potentially lead to mor...
news.mit.edu
December 10, 2024 at 6:41 PM
Want to design the car of the future? Here are 8,000 designs to get you started.
MIT News
news.mit.edu/2024/design-...
Want to design the car of the future? Here are 8,000 designs to get you started.
DrivAerNet++, the largest open-source dataset for car aerodynamics developed to date, can be used to quickly train an AI model to generate novel car designs. This process could potentially lead to mor...
news.mit.edu
December 8, 2024 at 10:18 AM
[2025-02-13] 📚 Updates in #DiffM

(1) <a href="https://researchtrend.ai/papers/2403.08055" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
(2) DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction

🔍 More at researchtrend.ai/communities/DiffM
February 13, 2025 at 3:08 AM
TripOptimizer, a deep‑learning framework, can cut vehicle drag by up to 11.8% and was trained on the DrivAerNet++ dataset of 8,000 point‑cloud models for performance. Read more: https://getnews.me/tripoptimizer-ai-driven-3d-shape-optimization-for-drag-reduction/ #tripoptimizer #aerodynamics
September 18, 2025 at 3:25 AM
Scaling physics-based digital twins: Neural Concept on Azure delivers a New Record in Industrial AI by Lukasz Miroslaw techcommunity.microsoft.com/t5/azure-hig...
Scaling physics-based digital twins: Neural Concept on Azure delivers a New Record in Industrial AI | Microsoft Community Hub
Automotive Design and the DrivAerNet++ Benchmark In automotive design, external aerodynamics have a direct impact on performance, energy efficiency, and...
techcommunity.microsoft.com
January 18, 2026 at 1:05 PM
As a starting point for DrivAerNet++, the researchers used 3D models from 2014 provided by Audi and BMW and representing various car body shapes. In addition,26 parameters such as length, underbody characteristics and windshield angle were systematically adjusted. #AI #artificialintelligence #design
December 26, 2024 at 2:26 PM
"Scaling physics-based digital twins: Neural Concept on Azure delivers a New Record in Industrial AI" buff.ly/h9QWGRb #Microsoft #techcommunity
Scaling physics-based digital twins: Neural Concept on Azure delivers a New Record in Industrial AI | Microsoft Community Hub
Automotive Design and the DrivAerNet++ Benchmark In automotive design, external aerodynamics have a direct impact on performance, energy efficiency, and...
buff.ly
January 12, 2026 at 12:25 PM