discovery · Source published 2024-11-15
Assembling biological model workflows
BioNeMo brings biological foundation models and training components into one framework for protein, molecular, and drug-research experiments.

268 items: records, experiences, guides and model families. Source reports remain distinct from discoveries.
discovery · Source published 2024-11-15
BioNeMo brings biological foundation models and training components into one framework for protein, molecular, and drug-research experiments.
discovery · Source published 2025-01-16
MatterGen generates candidate inorganic crystal structures while conditioning on properties a researcher wants, changing the starting point from searching a known catalog to proposing structures for testing.
discovery · Source published 2024-12-03
Prithvi-EO-2.0 is a geospatial foundation model that can be adapted to Earth-observation tasks such as flood mapping, crop classification, and land-use analysis.
discovery · Source published 2023-04-05
The original 2023 Segment Anything release, now commonly called SAM 1, turns a click, box, or rough mask into an object segmentation, giving annotators and analysts an editable first pass across varied images.
discovery · Source published 2024-01-22
MedSAM adapts promptable segmentation to medical images and provides interactive tools for delineating structures or lesions for research annotation workflows.
discovery · Source published 2022-09-21
Whisper provides downloadable speech-recognition models for transcription, language identification, translation into English, and caption-making without requiring a hosted speech service.
discovery · Source published 2023-08-22
SeamlessM4T joins speech recognition, text translation, speech translation, and speech generation in one multilingual research model family.
discovery · Source published 2024-02-29
StarCoder2 offers several downloadable code-model sizes plus fine-tuning and evaluation examples for local completion and generation experiments.
discovery · Source published 2024-11-26
SmolVLM is a compact vision-language model family designed for document, image, and visual-question tasks where memory and compute are limited.
discovery · Source published 2025-06-26
Gemma 3n is a multimodal model designed to accept text, images, video, and audio while producing text on resource-constrained devices.
discovery · Source published 2022-08-22
Stable Diffusion's downloadable latent-diffusion weights and adaptation code allowed artists and developers to build local image generation, inpainting, fine-tuning, and LoRA workflows.
discovery · Source published 2023-06-08
MusicGen generates music from a text description and can use an input melody as an additional condition, providing a downloadable tool for research and creative prototyping.
discovery · Source published 2024-05-20
Octo is a generalist manipulation policy trained on the Open X-Embodiment dataset and evaluated as a reusable starting point for robots with different sensors, action spaces, and physical forms.
discovery · Source published 2025-04-28
Foundation-Sec-8B is a cybersecurity-focused Llama 3.1 derivative that organizations can download and adapt for security operations work involving their own alerts, cases, and threat knowledge.
discovery · Source published 2022-02-16
Anomalib packages multiple anomaly-detection methods into a modular library for finding and localizing unusual regions in inspection images, with paths from experiments to optimized edge inference.
discovery · Source published 2025-07-07
Researchers fine-tuned compact downloadable language models to explain C compiler errors using examples derived from real introductory-programming mistakes.
discovery · Source published 2026-05-31
Cosmos 3 provides downloadable omnimodal world-model variants that can process or generate combinations of text, images, video, audio, and action sequences for physical-AI research.
discovery · Source published 2025-12-02
India's Agriculture Ministry reported that a Kharif 2025 pilot sent local monsoon-onset forecasts by SMS to 38,845,214 farmers in 13 states, using a blend that included NeuralGCM, ECMWF AIFS, and 125 years of India Meteorological Department rainfall data.
discovery · Source published 2025-01-24
A study combined image-based tillage classification, soil sensors, weather, slope, and crop inputs to recommend tilling intensity and fertilizer amount; authors report stationary prototypes deployed on 155 farms across five countries.
discovery · Source published 2025-11-21
Researchers trained a deep-learning detector on microscopic bacterial microcolonies and visually similar chicken, spinach, and cheese debris, aiming to make food-safety screening faster and more reliable in messy samples.