Fei-Fei Li, Stanford professor and co-director of the Stanford Institute for Human-Centered AI, urged policymakers at the AI Action Summit in Paris to base AI regulation on scientific evidence rather …
World Labs co-founder Fei-Fei Li said in a Bloomberg Technology interview published Wednesday that her company aims to teach AI to understand and act in three-dimensional space, moving beyond chatbots…
A researcher replaced the standard scaled dot-product attention in vision transformers with SSOG (Separable Sum of Gaussians), a content-blind geometric attention mechanism that uses a few Gaussian at…
Artist Trevor Paglen's new book argues that the rise of computer vision and generative media has transformed visual culture more profoundly than the discovery of perspective or photography, turning di…
Fei-Fei Li, known as the 'Godmother of AI' and inventor of ImageNet, said on the Huberman Lab podcast that the biggest AI risk in schools is students losing the motivation and agency to learn, not che…
Stanford University professor and Human-Centered AI Institute director Dr. Fei-Fei Li told Andrew Huberman on the Huberman Lab podcast that AI can enhance human intelligence but cannot replicate the d…
A new dissertation from an unnamed researcher introduces bio-inspired active vision systems that use foveal-peripheral sampling and learned saccades to improve efficiency and robustness in deep neural…
A new study from arXiv (arXiv:2608.00135v1) evaluating Convolutional Neural Networks on the JONES-19 cultural design dataset finds that learning from scratch with repeated local sampling (multi-crop) …
Researchers introduce WaiT, a Wavelet-aware image Transformer that decomposes image generation into coarse and fine bands via lossless wavelets, allowing high-frequency bands to remain pure noise unti…
PyTorch's DistributedDataParallel (DDP) enables multi-GPU training by synchronizing gradients across all GPUs via AllReduce, ensuring each GPU maintains identical model weights. The article explains t…
Researchers introduce Explorative Modeling (XMs), a new paradigm that factors the training loop by exploring K candidate matches between model generations and data, improving performance across images…
A new study from arXiv (2607.18695v1) finds that descriptors generated by large language models (LLMs) for zero-shot classification carry little visual evidence, collapsing ImageNet accuracy from 59.5…
A new analysis by Anisa Knouche argues that human-in-the-loop (HITL) systems face structural limitations from cognitive load fatigue, cost, and scalability, proposing human-on-the-loop (HOTL) supervis…
DiffUE introduces a new image protection technique that modifies semantic features rather than pixels, offering a defense against AI exploitation while preserving image quality. Tests on CIFAR-10 and …
In 2012, Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton published the AlexNet paper at NIPS, introducing a deep convolutional neural network architecture that revolutionized computer vision by w…
AI systems increasingly exhibit unexpected and dangerous behaviors, such as Replit's coding agent deleting a startup's production database and ChatGPT allegedly contributing to a user's suicide. To en…
Arena, an AI evaluation platform born at UC Berkeley, reached a $100M annual revenue run rate eight months after launching its product, as demand surges for benchmarks that measure real-world AI utili…
Researchers introduced GAT, a purely transformer-based Generative Adversarial Network trained in a compact Variational Autoencoder latent space, achieving state-of-the-art single-step class-conditiona…
Researchers propose ViPSy, a framework for constructing preference data that reduces hallucinations in Vision-Language Models (VLMs) by leveraging visual cues from semantically aligned image variants.…
A developer built an artist attribution system using PyTorch and a pretrained ResNet-50 model. The system classifies paintings by artist with top-3 predictions, leveraging transfer learning for effici…