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Custom Web Applications

ai-one™ - biologically inspired intelligence. We sell software development kits (SDKs) for machine learning applications. We give programmers a virtual brain so they can build artificial intelligence into any software application. Unlike other machine learning tools, our technology works in any language, works with any data and learns quickly without human intervention.

"WI-Prolog offers a comprehensive free Prolog environment. Since its start in 1987, SWI-Prolog development has been driven by the needs of real world applications. SWI-Prolog is widely used in research and education as well as commercial applications. Join over a million users who have downloaded SWI-Prolog."

"ImmuniWeb® AI Platform provides a full spectrum of Application Security Testing, Attack Surface Management and continuous security monitoring solutions tailored for DevSecOps."

"C3 AI delivers a comprehensive Enterprise AI application development platform and a large and growing family of turnkey enterprise AI applications."

"Conversational UX Platform.™ Now we're talking! Build brand-unique, natural language interactions for bots, applications, services, and devices"

ECCAI, the European Coordinating Committee for Artificial Intelligence, was established in July 1982 as a representative body for the European Artificial Intelligence community. Its aim is to promote the study, research and application of Artificial Intelligence in Europe.

AIAI is a technology transfer organisation that promotes the application of Artificial Intelligence research for the benefit of commercial, industrial, and government clients. AIAI has considerable experience of working with small innovative companies, and with research groups in larger corporations.

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.

"Loom is a language and environment for constructing intelligent applications. The heart of Loom is a knowledge representation system that is used to provide deductive support for the declarative portion of the Loom language. Declarative knowledge in Loom consists of definitions, rules, facts, and default rules. A deductive engine called a classifier utilizes forward-chaining, semantic unification and object-oriented truth maintainance technologies in order to compile the declarative knowledge into a network designed to efficiently support on-line deductive query processing."

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.

Artificial Intelligence as a Service AIaaS lets developers incorporate real-time chat and voice interactions into their applications in minutes using client-side code.

The DARPA PAL program (the Personalized Assistant that Learns) focused on improving the way that computers support humans through the use of cognitive systems-that is, systems that reason, learn from experience, and accept guidance in order to provide effective, personalized assistance. SRI International has led the PAL Framework effort to make available many of the successful machine learning and reasoning technologies developed on the PAL program for use by the broader DARPA, research, and military communities. Technical capabilities within the framework have been hardened, modularized, packaged, and where appropriate, adapted to meet industry standards to facilitate their incorporation into potential target applications. The framework further includes various infrastructure components and APIs to simplify integration with the framework technologies.

Cyc is an artificial intelligence project that attempts to assemble a comprehensive ontology and knowledge base of everyday common sense knowledge, with the goal of enabling AI applications to perform human-like reasoning. The project was started in 1984 by Douglas Lenat at MCC and is developed by company Cycorp. Parts of the project are released as OpenCyc, which provides an API, RDF endpoint, and data dump under an open source license.

"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."

"Our long-term goal is to democratize AI. We want to level the playing field for startups to ensure that innovation doesn't get locked up in large companies like Google or Facebook. If you're starting an AI company, we want to help you succeed. Apply here and mention this post in your application."

"Applications for Europe's first AI accelerator by Rockstart open in May 2017, with the program itself kicking off on September 1. The ten AI startups chosen for the program will spend six months in s'Hertogenbosch, working along with mentors and partners, including the locally-based Jheronimus Academy of Data Science (JADS)."

"Compute Library for Deep Neural Networks (clDNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL inference on Intel® HD Graphics Driver and  Intel® Iris® graphics (also referred to as Intel® Processor Graphics)."