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ARCOE aims at bringing together researchers and practitioners from core areas of Artificial Intelligence (Knowledge Representation and Reasoning, Contexts, and Ontologies) to discuss these kinds of problems and relevant results.

" The AI Office Suite "

semantic processing with Cogito Intelligence API. State of the art software, Cogito Intelligence API can decipher the meaning and context in processed data, distinguishing between various streams and high volume Intelligence information. Cogito Intelligence API goes beyond keyword or statistics based solutions to resolve ambiguities in data, allowing you to exploit strategic sources of information.

KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.

The Oycib infrastructure is based in the ethnographic observation model based agents called e-Xploration. The infrastructure allows the analysis, interpretation and visualization of profiles and digital practices. Furthermore, we propose work in the context-awareness to enhance the collaboration and cooperation among people and groups.

"Scene recognition is one of the hallmark tasks of computer vision, allowing defining a context for object recognition. Here we introduce a new scene-centric database called Places, with 205 scene categories and 2.5 millions of images with a category label. Using convolutional neural network (CNN), we learn deep scene features for scene recognition tasks, and establish new state-of-the-art performances on scene-centric benchmarks. Here we provide the Places Database and the trained CNNs for academic research and education purposes."

"Our mission is to preserve your brain well enough to keep all its memories intact: from that great chapter of your favorite book to the feeling of cold winter air, baking an apple pie, or having dinner with your friends and family. If memories can truly be preserved by a sufficiently good brain banking technique, we believe that within the century it could become feasible to digitize your preserved brain and use that information to recreate your mind. How close are we to this possibility? Currently, we can preserve the connectomes of animal brains and are working on extending our techniques to human brains in a research context. This is an important first step towards the development of a verified memory preservation protocol, as the connectome plays a vital role in memory storage."

Kill Context Switches in online reading & research Organise, annotate & discuss websites, PDFs, YouTube videos without leaving your tab. By yourself, with your peers & enhanced by AI

"Supports comprehensive multimodal input (image, video w/ audio, text, and documents such as PDFs) Leading reasoning and coding capabilities Truly flexible deployment (API, on-premises, on-device) 128K context window Multilingual"

"Enhance products and solutions with Primal's DaaS platform. Our neural-symbolic technology tackles AI limitations with context-rich data like knowledge graphs, embeddings, semantic tags, and taxonomies. Generate data on-demand or offline, seamlessly integrating with LLMs and ML systems."

"The leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside the IDE "

"AI and machine learning products Try Gemini 1.5 models, the latest and most advanced multimodal models in Vertex AI. See what you can build with up to a 2M token context window, starting as low as $0.0001."

"Claude 3.5 Sonnet is now available for free on Claude.ai and the Claude iOS app, while Claude Pro and Team plan subscribers can access it with significantly higher rate limits. It is also available via the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. The model costs $3 per million input tokens and $15 per million output tokens, with a 200K token context window."