Top Tweets for #ImageNet
Legacy systems aren't always the problem.
It's the manual work between them.
This interview explores how payers can use AI and automation to reduce friction—without a risky "rip and replace" project.
🔗 https://t.co/wDeMmMw69K
#ImageNet #PayerAI #healthtech
Érase una vez una universidad que, sin pedir ni una sola licencia, reunió 14 millones de imágenes y creó #ImageNet, el dataset que encendió la revolución de la #IA (#AlexNet y todo lo que vino después).
Hoy los demandan por #copyright.
@ROSSIntel lo resumió perfecto: “Absolutely astounding”
El pecado original de la IA no lo cometió una Big Tech: lo cometió la academia primero.
Ahora que les toca a ellos, de repente el fair use ya no suena tan bien.
@ROSSIntel lo viene peleando en los tribunales: o aceptamos que entrenar IA es fair use, o desmantelamos cimientos de la tecnología moderna.
¿Innovación o hipocresía retroactiva?
Absolutely astounding.
A #drone agent that only works in a parking lot isn't an agent. It's a demo.
We're building SOTApilot around 5 procedurally generated environments:
🏙️ City — dense obstacles, tight corridors
🏔️ Mountain — wind, elevation, sparse landmarks
🌲 Forest — canopy cover, no GPS comfort zone
🏘️ Town — mixed terrain, civilian patterns
🏭 Warehouse — indoor, confined, precision flight
🔜 More TBA
We are working on the future of agentic flying, join us.
#robotics #AI #ros
Are vision language models robust to classic uncertainty challenges?
Xi Wang, Eric Nalisnick.
Action editor: Andreas Kirsch.
https://t.co/tYiNXNU0Hj
#robustness #imagenet #models
Rethinking Dataset Quantization: Efficient Coreset Selection via Semantically-Aware Data Augmentation
https://t.co/8qprU3p0js
#imagenet #cnns #quantization
A Closer Look at In-Distribution vs. Out-of-Distribution Accuracy for Open-Set Test-time Adaptation
https://t.co/McBnzTcutv
#benchmark #imagenet #benchmarks
Oscillations Make Neural Networks Robust to Quantization
Jonathan Wenshøj, Bob Pepin, Raghavendra Selvan.
Action editor: Tatiana Likhomanenko.
https://t.co/CssFzYjSeS
#quantization #imagenet #training
Chimera: State Space Models Beyond Sequences
Aakash Lahoti, Tanya Marwah, Ratish Puduppully, Albert Gu.
Action editor: Hankook Lee.
https://t.co/dkjxk4MHch
#imagenet #embeddings #attention
Coreset-Driven Re-Labeling: Tackling Noisy Annotations with Noise-Free Gradients
Saumyaranjan Mohanty, Konda Reddy Mopuri.
Action editor: Anurag Arnab.
https://t.co/ex03RC50Ev
#imagenet #labeling #annotation
Cluster and Predict Latents Patches for Improved Masked Image Modeling
Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski.
Action editor: Hankook Lee.
https://t.co/rplKpo9WrV
#imagenet #masked #supervised
Reading about GoogLeNET architecture this week!
#research #ResearchPapers #DeepLearning #AI #ML #CNN #ImageNET #WomenInTech #WomenInSTEM
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