Group items tagged

'XNOR.ai is, essentially, a bit of clever computer-native math that enables AI-like models for vision and speech recognition to run practically anywhere. It has the potential to be transformative for the industry.'

Numenta.org Platform for Intelligent Computing The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works.

ARTIFICIAL INTELLIGENCE Participate in cutting-edge artificial intelligence, machine reasoning, knowledge modeling, and natural language processing research initiatives.

"The Artificial Intelligence (AI) program at the University of Michigan comprises a multidisciplinary group of researchers conducting   theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision   making, computational game theory, distributed systems of multiple agents, reinforcement learning, machine learning, cognitive modeling,   natural language processing, information retrieval, and robotics."

The Artificial Intelligence Group at UCSD engages in a wide range of theoretical and experimental research. Areas of particular strength include machine learning, probabilistic inference, neural computation, and cognitive modeling. Within these areas, students and faculty also pursue real-world applications to problems in computer vision, speech and audio processing, information retrieval, bioinformatics, brain-computer interfaces, and computer systems and networking. The Artificial Intelligence Group is part of a larger campus-wide effort in Computational Statistics and Machine Learning (COSMAL). Interdisciplinary collaborations are strongly supported and encouraged.

The Artificial Intelligence (AI) program at the University of Michigan comprises a multidisciplinary group of researchers conducting   theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision   making, computational game theory, distributed systems of multiple agents, reinforcement learning, machine learning, cognitive modeling,   natural language processing, information retrieval, and robotics.

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.

"Magenta is a Google Brain project to ask and answer the questions, "Can we use machine learning to create compelling art and music? If so, how? If not, why not?" Our work is done in TensorFlow, and we regularly release our models and tools in open source. These are accompanied by demos, tutorial blog postings and technical papers. To follow our progress, watch our GitHub and join our discussion group."

"The GLTR demo enables forensic inspection of the visual footprint of a language model on input text to detect whether a text could be real or fake. It is a collaborative effort between Hendrik Strobelt, Sebastian Gehrmann, and Alexander Rush from the MIT-IBM Watson AI lab and Harvard NLP."

'Welcome to the ml5 project! Developing ml5 is not just about developing machine learning software, it is about making machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.'

"Our 2021.AI platform offers everything your team needs in one open platform, allowing your organization to manage team collaboration across heterogeneous infrastructure efficiently and deploy models effectively. Should you decide that you do not have the appetite to build such capacity and capabilities in-house, we will offer you data sciences as a service, ensuring your participation in harvesting and maximizing business benefits with a minimal organizational imprint.  "

"Enabling AI in every Application Automating the use of AI/ML models at every scale with the Serverless AI Layer."

'We're releasing an API for accessing new AI models developed by OpenAI. Unlike most AI systems which are designed for one use-case, the API today provides a general-purpose "text in, text out" interface, allowing users to try it on virtually any English language task. You can now request access in order to integrate the API into your product, develop an entirely new application, or help us explore the strengths and limits of this technology.'

"Build next-gen apps with OpenAI's powerful models. Access GPT-3, which performs a variety of natural language tasks, Codex, which translates natural language to code, and DALL·E, which creates and edits original images."

"Pollinations curates and customizes AI models to match your vision."

"Cohere Command, powering innovation with enterprise GenAI Command models are used by companies to build production-ready, scalable and efficient AI-powered  applications."

"Making the community's best AI chat models available to everyone."

"Backed by artificial intelligence, you will receive an instant answer to any question you have, coupled with exceptional search capabilities. Simply click "Add to Chrome" to install the extension and experience our key features: Superior search results, and your own revolutionary AI assistant powered by models like OpenAI GPT-3.5. Here's a closer look at each feature:"