Large language models (LLMs) excel at complex reasoning tasks but remain computationally expensive, limiting their practical deployment. To address this, recent works have focused on distilling...

In the next half-century, physical chemistry will likely undergo a profound transformation, driven predominantly by the combination of recent advances in quantum chemistry and machine learning (ML). Specifically, equivariant neural network potentials (NNPs)…

DuckLake delivers advanced data lake features without traditional lakehouse complexity by using Parquet files and your SQL database. It's an open, standalone format from the DuckDB team.

LiveStore is a state management framework based on SQLite and event-sourcing. It’s designed for demanding applications and based on years of research.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

PhyCV: The First Physics-inspired Computer Vision Library - JalaliLabUCLA/phycv

Build 10x faster with the first fully native Graph-Vector Database combining the power of graph and vector types natively in Rust to build RAG and AI applications easily

HelixDB is a powerful, open-source, graph-vector database built in Rust for intelligent data storage for RAG and AI. - HelixDB/helix-db

We present SegFormer, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perceptron (MLP) decoders. SegFormer has two appealing features: 1) SegForme…

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We introduce Florence-2, a novel vision foundation model with a unified, prompt-based representation for a variety of computer vision and vision-language tasks. While existing large vision models...

We present Segment Anything Model 2 (SAM 2), a foundation model towards solving promptable visual segmentation in images and videos. We build a data engine, which improves model and data via user...