закладки (спрятать)5496
- Use AI to search, summarize, extract data from, and chat with over 125 million papers. Used by over 2 million researchers in academia and industry.
- ChatGPT for Research. Consensus is an AI-powered search engine that finds and summarizes scientific research papers. Just ask a question!
- Using citations to find the most relevant literature
- ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) - open-webui/open-webui
- Generative Agents: Interactive Simulacra of Human Behavior - joonspk-research/generative_agents
- Lexical Semantic Change: Models, Data and Evaluation - pierluigic/lsc-lrec2022
- evcc ermöglicht das Laden von Elektrofahrzeugen (EV) bedarfsgerecht zu steuern und den dazu benötigten Energiebezug zu optimieren. Es kann eine Photovoltaikanlage (PV) angebunden werden, um so viel selbsterzeugte Energie wie möglich ins EV zu laden, oder es können auch Anbieter mit dynamischen Strompreisen angebunden werden.
- Delve into the world of scientific publications with ease and fun, combining the power of BibSonomy and SemanticScholar with ChatGPT!
- The Hiveeyes Project is developing a flexible beehive monitoring infrastructure platform and toolkit based on affordable hardware, wireless telemetry and modern software. Open source, open hardware and a friendly community.
- SuperGLUE is a new benchmark styled after original GLUE benchmark with a set of more difficult language understanding tasks, improved resources, and a new public leaderboard..
- Explore and run machine learning code with Kaggle Notebooks | Using data from TensorFlow Speech Recognition Challenge
- While open-endedness could be a force for discovering intelligence, it could also be a component of AI itself.
- Data Protection in the Context of Big Data and AI
- Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. - GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
- DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome - GitHub - jerryji1993/DNABERT: DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
- Get the best language feedback and big data widgets. Writefull's AI language models have been trained on millions of journal articles.
- Rank universities according to their publications to computer science conferences
- evcc ermöglicht es Elektrofahrzeuge mit möglichst viel selbsterzeugten Solarstrom zu laden.
- Posner lecture at nneuRIPS2021
- Modern Structural Health Monitoring (SHM) systems are becoming of pervasive use in civil engineering because they can track the structural condition and detect damages of critical and civil infrastructures such as buildings, viaducts, and tunnels.This paper presents a new framework that exploits compression techniques to identify anomalies in the structure, avoiding continuous streaming of raw data to the cloud. The authors trained three compression models, namely a Principal Component Analysis (PCA), a fully-connected autoencoder, and a convolutional autoencoder.
публикации (спрятать)5956
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- Advances in Neural Information Processing Systems, 35, стр. 24824--24837. Curran Associates, Inc., (2022)
- CHR, том 3290 из CEUR Workshop Proceedings, стр. 318-336. CEUR-WS.org, (2022)
- Proceedings of the 30th ACM International Conference on Information and Knowledge Management, стр. 4564–4573. (2021)
- (2024)
- (2024)
- 47th German Conference on Artificial Intelligence (KI 2024) - to appear, (2024)
- 47th German Conference on Artificial Intelligence (KI 2024) - to appear, (2024)
- Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval, стр. 1434--1443. (2022)
- (2024)
- Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), стр. 1529--1536. Mexico City, Mexico, Association for Computational Linguistics, (июня 2024)
- Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), стр. 602--612. Mexico City, Mexico, Association for Computational Linguistics, (июня 2024)
- (2024)
- The Twelfth International Conference on Learning Representations, (2024)
- Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), стр. 1529--1536. Mexico City, Mexico, Association for Computational Linguistics, (июня 2024)
- Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), стр. 602--612. Mexico City, Mexico, Association for Computational Linguistics, (июня 2024)
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), стр. 7897--7916. Mexico City, Mexico, Association for Computational Linguistics, (июня 2024)
