I’ve written several posts on the various options for clustering molecules https://macinchem.org/?s=clustering and a recent post from NVIDIA described GPU-Accelerated Clustering with nvMolKit that uses
Tag: apple silicon
A while back Apple published a paper entitled LLM in a flash: Efficient Large Language Model Inference with Limited Memory [DOI] This paper tackles the
ChemeleonSMD distills the CheMeleon pretrained Directed Message Passing Neural Network (DMPNN) into a SCORE-style architecture running natively on MLX. The SCORE Euler skip connection replaces ChemProp’s hard-overwrite message passing
Recently a guest post from NVIDIA described GPU-Accelerated Clustering with nvMolKit that uses CUDA. A recent post no describes a port of the nvMolKit (CUDA) molecular clustering
Just got this message. We’re happy to announce the release of macOS-native MOE 2024.0604 for macOS Tahoe, also compatible with Big Sur and later versions
I’ve updated the Fortran on a Mac page https://macinchem.org/fortran-on-a-mac/ Now includes gcc-15.2-mx-bin.tar.gz, gfortran-15.2-mx-bin.tar.gz (gfortran only), updated Jan 2026 (Tahoe — Apple Silicon).
Apple today announced a “special Apple Experience” in New York, London, and Shanghai, taking place on March 4, 2026 at 9:00am ET. Interesting that it
A recent paper described Boltz-1: Democratizing Biomolecular Interaction Modeling https://www.biorxiv.org/content/10.1101/2024.11.19.624167v2 Boltz-1, an open-source deep learning model incorporating innovations in model architecture, speed optimization, and data processing
A recent paper described Boltz-1: Democratizing Biomolecular Interaction Modeling https://www.biorxiv.org/content/10.1101/2024.11.19.624167v2 Boltz-1, an open-source deep learning model incorporating innovations in model architecture, speed optimization, and data