Microsoft Research Blog

Introducing Garnet – an open-source, next-generation, faster cache-store for accelerating applications and services

March 18, 2024 | Badrish Chandramouli
Garnet is a cache-store system that addresses growing demand for data storage to support interactive web applications and services. Offering several advantages over legacy cache-stores, Garnet is now available as an open-source download.
  1. Research Focus March 4, 2024

    Research Focus: Week of March 4, 2024 

    March 6, 2024

    In this issue: Generative kaleidoscopic networks; Text diffusion with reinforced conditioning; PRISE – Learning temporal action abstractions as a sequence compression problem.

  2. The general model architecture of ViSNet. (a) Model sketch of ViSNet. ViSNet embeds the 3D structures of molecules and extracts the geometric information through a series of ViSNet blocks and outputs the molecule properties such as energy, forces, and HOMO-LUMO gap through an output block. (b) Flowchart of one ViSNet Block. One ViSNet block consists of two modules: i) Scalar2Vec, responsible for attaching scalar embeddings to vectors.; ii) Vec2Scalar. The inputs of Scalar2Vec are the node embedding, edge embedding, direction unit and the relative positions between two atoms.

    ViSNet: A general molecular geometry modeling framework for predicting molecular properties and simulating molecular dynamics 

    February 29, 2024 | Tong Wang, Bin Shao, and Tie-Yan Liu

    Molecular geometry modeling is a powerful tool for understanding the intricate relationships between molecular structure and biological activity – a field known as structure-activity relationships (SAR). The main premise of SAR is that the biological activity of a molecule is dictated by its specific chemical…

  3. Research Focus Week of February 19, 2024

    Research Focus: Week of February 19, 2024 

    February 21, 2024

    In this issue: CaaSPER: vertical autoscaling algorithm dynamically maintains optimal CPU utilization; Improved scene landmark detection for camera localization runs faster, uses less storage; ESUS simplifies usability questionnaires for technical products and services.

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