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'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.'

"The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, and robotics. BAIR includes over two dozen faculty and more than a hundred graduate students pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities."

"t for all intents and purposes is a social networking tool for those wanting to join us in our vision for the Creativity Machine. If you are a scientist, engineer, entrepreneur, or investor, use this site's resources to better understand this patented, bleeding edge artificial intelligence technology. If you are"

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.

"MetaMind delivers Artificial Intelligence enterprise solutions via its AI platform and Smart Module offerings. The general-purpose platform can predict outcomes for language, vision and database tasks, and delivers best in class accuracies on standard benchmarks."

"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."

"IMAGE AND VIDEO RECOGNITION API Artificial Intelligence with a Vision. Build smarter apps that see the world like you do."

"Lunyr is an Ethereum-based decentralized crowdsourced encyclopedia which rewards users with app tokens for peer-reviewing and contributing information. We aim to be the starting point of the internet for finding reliable, accurate information. Our long-term vision is to develop a knowledge base API that developers can use to create next generation decentralized applications in Artificial Intelligence, Virtual Reality, Augmented Reality, and more."

a visual learning robot, that identifies and extracts the important parts of any web page .. "Diffbot's computer vision and machine learning services structure Web data with better-than-human-level accuracy across any website or language."

"Webbrain is an initiative to develop an emergent AI using the infrastructure provided by the internet. The brain is a marvelous biological machine. With billions of neurons and trillions of connections, it provides the substrate from which our behaviours emerge. Our brain can help us move in multitudes of environments, set goals, solve practical and abstract problems, use languages, vision or pattern matching. Could we use computers on the Internet to create a global thinking machine with similar capabilities?"

"Using AI to Map the World In conjunction with OpenStreetMap, we are creating tools that we hope will enable the mapping community to enjoy a faster & more accurate mapping experience. To this end, we used artificial intelligence to predict features on high-resolution satellite imagery; these features are then populated in our RapiD map editing tool. When combined with global-scale humanitarian efforts, we hope RapiD can help realize our vision of a more connected world."

"Artificial Intelligence & Autopilot We develop and deploy autonomy at scale in vehicles, robots and more. We believe that an approach based on advanced AI for vision and planning, supported by efficient use of inference hardware, is the only way to achieve a general solution for full self-driving and beyond."

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

"Allegro.ai provides an end-to-end platform and set of solutions for the management of deep learning computer vision and signal processing products across their entire lifecycle. By leveraging our solution, our customers deliver to market higher quality products more cost-effectively, faster and at scale. Doing so while focusing on their core product differentiation rather than on the infrastructure."

"We make building an app so easy, anyone can do it Your vision. Your software. We just build it."

"All-in-One. Walles.AI Assistant It's Free Walles.AI now supports Vision You can chat with images, extract text from images, and solve math problems in images"

"Our mission is to empower our customers, regardless of background or experience, with the ability to bring their vision to life in seconds. With Captions, anyone can effortlessly and effectively communicate their story or idea."

"Why choose one AI tool when you can have them all? MARKY: ChatGPT like AI chat with real-time data, vision, and PDF AI Chat Build no-code AI Bots by training on your own data. Embed on any website or share via URL"

The Chatbot Arena has launched a new beta feature supporting images, allowing users to interact with chatbots through images. Each conversation can include the submission of one image, as long as it is under 15MB. The Chatbot Arena logs user requests, including the images submitted, for research purposes. Although this data is not currently publicly disclosed, there may be a possibility of doing so in the future. Therefore, it is recommended that users avoid sending confidential or personal information through this feature. This feature is in its early development stage, so there may be issues or bugs. Users are encouraged to report any issues through the Chatbot Arena communication channels.