Research-Digest is a Flask application that scrapes arXiv weekly for newly published papers in fields including computer vision and machine learning, then offers a summarization feature so users can grasp key points. Summarization uses a T5 model finetuned on scientific articles, with weights and tokenizers stored locally.
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Keenious is an AI-assisted tool for exploring published academic research. It searches about 177M publications, groups results into research areas on a map, and explains unfamiliar terms, methods, and statistics beside the paper. It also translates studies published in other languages. The source states it does not write essays, paragraphs, or assignment outlines.
Research on evaluation of LLMs conducted by Microsoft Research and other collaborated institutes. (Updated at: 2023/10).
Local Deep Research is a tool that achieves approximately 95% accuracy on the SimpleQA benchmark, with an example run using Qwen3.6-27B on an RTX 3090. It supports all local and cloud LLMs including llama.cpp, Ollama, and Google models, integrates over 10 search engines such as arXiv, PubMed, and private document sources, and operates with local and encrypted processing.
Phenaki is a Google Research model that synthesizes realistic videos from textual prompt sequences. It uses an encoder-decoder tokenizer for variable-length videos and a transformer that translates text embeddings to video tokens, trained jointly on image-text and video-text data.
Gemini Notebook supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Helps find, analyze or synthesize information for research and knowledge discovery.
8bitconcepts is an embedded AI consulting practice that works inside operating businesses to ship AI workflow and process systems. It targets repetitive operations, support, data-preparation and review workflows, and publishes research papers and data snapshots alongside live AI products.
An article by Andy Baio examining how AI companies use datasets and models from academic and nonprofit research groups. It describes Meta's Make-A-Video using Shutterstock clips and YouTube videos collected by Microsoft, and notes nonprofit datasets used for Stable Diffusion and other models. It argues this outsourcing shifts accountability and legal liability away from corporations.
aimatchpro supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Alphaxiv is a platform for discussing, discovering, and reading arXiv research papers. Users can explore trending papers, view recent activity and discussions, follow authors, and access literature review responses grounded in the underlying academic work.
Archai is an open-source project developed by Microsoft and hosted on GitHub. It is designed to accelerate neural architecture search (NAS) research by providing fast, reproducible, and modular tooling for developing, testing, and refining new neural network architectures.
Helps find, analyze or synthesize information for research and knowledge discovery.
Awesome Decision Tree Papers is a GitHub-hosted open repository that collects research papers on decision trees, classification trees, and regression trees. The repository includes associated code implementations for the papers, and organizes content by publication year, with entries covering 2020, 2021, and 2022. It serves as a resource for machine learning researchers and practitioners.
Helps find, analyze or synthesize information for research and knowledge discovery.
BlockAGI conducts iterative, domain-specific research, and outputs detailed narrative reports to showcase its findings.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
citedbyai.info supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Clip Retrieval supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Consensus is a search engine that uses AI to find answers in scientific research.
Cortexa provides machine-learning models, research, training resources, or evaluation tools.
DAIR.AI is a GitHub organization that states it aims to democratize AI research, education, and technologies. Its repositories include a prompt engineering guide covering guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents, and AI-Papers-of-the-Week, which highlights top machine learning papers each week.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.