VisionLab Events
HIGHLIGHT
OTHER NEWS
ReViT: Enhancing vision transformers with residual attention
Vision Transformer (ViT) self-attention mechanism is characterized by feature collapse in deeper layers, resulting in the vanishing of low-level visual features. However, such features can
2 Settembre 2024 Nessun commento
S-GEAR: Semantically Guided Representation Learning for Action Anticipation (ECCV2024)
Action anticipation is forecasting future activity from a partially observed sequence of events. However, this task is exposed to intrinsic future uncertainty and the difficulty
2 Settembre 2024 Nessun commento
23 Agosto 2024 Nessun commento
23 Agosto 2024 Nessun commento
23 Agosto 2024 Nessun commento
23 Agosto 2024 Nessun commento
Computer Vision Conferences
Nvidia News
- Hardware-Rooted AI Security That Won’t Slow You Down
- Mastering Agentic Techniques: AI Agent Reinforcement Learning
- Designing GPU-Accelerated Query Engines with NVIDIA GQE
- Optimizing a Neural Reconstruction Pipeline Using NVIDIA Nsight Developer Tools
- How to Govern Autonomous Agents in Enterprise AI Factories
- Deploy a Production-Ready NVIDIA AI-Q Blueprint on Oracle Cloud Infrastructure
- Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer
- Streamlining Resource Binding with End-to-End Support for Vulkan Descriptor Heaps
- Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support
- How KRAFTON Built PUBG Ally, a Co-Playable Character Powered by NVIDIA ACE
- Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications
- Maximize AI Factory Energy Efficiency Through Full-Stack Inference and Training Optimizations
- Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding
- Build an AI Scientist for Life Science Discovery with NVIDIA BioNeMo Agent Toolkit
- How Telcos Build Autonomous Networks with Agentic AI
Microsoft News
- SkillOpt: Agent skills as trainable parameters
- Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
- Understanding the brain with AI-driven explanations and experiments
- Ire identifies another LOTUSLITE specimen
- Data Formulator 0.7: AI-powered data analytics for enterprise data
- Extending Human Intelligence Through AI
- Vega: Zero-knowledge proofs for digital identity in the age of AI
- Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability
- mimalloc: A new, high-performance, scalable memory allocator for the modern era
- GridSFM: A new, small foundation model for the electric grid
- Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models
- Building realistic electric transmission grid dataset at scale: a pipeline from open dataset
- Microsoft at NSDI 2026: Advances in large-scale networked systems
- Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale
- AutoAdapt: Automated domain adaptation for large language models
Google AI News
- Generative AI to quantify uncertainty in weather forecasting
- AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
- Computer-aided diagnosis for lung cancer screening
- Using AI to expand global access to reliable flood forecasts
- ScreenAI: A visual language model for UI and visually-situated language understanding
- SCIN: A new resource for representative dermatology images
- MELON: Reconstructing 3D objects from images with unknown poses
- HEAL: A framework for health equity assessment of machine learning performance
- Cappy: Outperforming and boosting large multi-task language models with a small scorer
- Talk like a graph: Encoding graphs for large language models
- Chain-of-table: Evolving tables in the reasoning chain for table understanding
- Health-specific embedding tools for dermatology and pathology
- Social learning: Collaborative learning with large language models
- Croissant: a metadata format for ML-ready datasets
- Google at APS 2024