Meta Platforms' new artificial intelligence lab has delivered its first high-profile AI models internally this month, the ...
Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using ...
Avnos Predicts Strong 2026 Hybrid DAC Demand, Driven by AI Data Centers and Industrial Decarbonization ...
Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.
Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...
This commitment from Microsoft comes after President Trump asked tech companies to ‘pay their own way’ for their data centers ...
Human-Guided Data Augmentation via Diffusion Model for Surface Defect Recognition Under Limited Data
Abstract: Surface defect recognition (SDR) with limited data is a common challenge in industrial production. Recent methods generally utilize generative adversarial networks (GANs) to generate defect ...
Today we’re announcing Dina Powell McCormick is joining Meta as President and Vice Chairman. Dina served as an invaluable ...
This repository also includes a collection of evaluation scripts for table-related benchmarks. The evaluation scripts and datasets can be found in the realtabbench directory. For more details, please ...
This is the official repository for The Quest for Generalizable Motion Generation: Data, Model, and Evaluation. The repo provides a unified framework for generalizable motion generation, including ...
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