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Category: Semantic technologies (Page 1 of 65)

Our coverage of semantic technologies goes back to the early 90s when search engines focused on searching structured data in databases were looking to provide support for searching unstructured or semi-structured data. This early Gilbane Report, Document Query Languages – Why is it so Hard to Ask a Simple Question?, analyses the challenge back then.

Semantic technology is a broad topic that includes all natural language processing, as well as the semantic web, linked data processing, and knowledge graphs.


Primer launches Primer Engines

Primer, a natural language processing (NLP) company, announced the launch of Primer Engines, an integrated suite of industrial-grade NLP models that bring machine learning (ML) to mission-critical operations at any organization. Primer Engines unlock advanced capabilities for commercial organizations to use in almost any text-related business application. Primer Engines make it possible for anyone responsible for data analysis, intelligence, or operations to fully access, explore, and take advantage of the firehose of text-based data coming their way. With Primer Engines, there’s no need to mobilize a team of machine learning experts to build an NLP solution from scratch. Primer’s team of ML engineers is continuously pushing the realm of what’s possible with NLP, building new domain and data-specific engines.

Organizations can pick and choose from over two dozen pre-trained Engines for the task they need, including Primer’s Named Entity Recognition (NER) model. Each engine comes with a plug-and-play API that enables integration into existing applications, tools, or systems, both in the cloud and on premises. Organizations can connect multiple Primer Engines together and build their own NLP-powered data processing pipelines that match their unique workflows. Engines can be retrained in Primer Automate, the company’s recently released no-code platform, to build and deploy custom deep learning models.

https://primer.ai

Zoom releases edge speech recognition by Sensory

Sensory Inc. announced the integration of its TrulyNatural embedded speech recognition software within the latest public beta release of Zoom Rooms for Android, iOS, MacOS and Windows. Powered by Sensory, voice commands are now supported on all Zoom Rooms platforms. With this update, Zoom-native voice commands support expanded functionality, with all voice commands being processed locally, never in the cloud. Zoom Rooms participants can now use their voice to ‘wake’ the room system by saying ‘Hello Zoom’, as well as use commands such as ‘start meeting’, ‘leave meeting’, ‘check in’ and more, allowing organizations to create safe, private, and effective hands-free meetings.

TrulyNatural is Sensory’s deep neural network-based, embedded speech recognition platform with natural language understanding. Zoom and Sensory have worked together to leverage the capabilities of TrulyNatural to create domain-specific recognizers designed to handle common voice requests for controlling meetings. They have also developed more complex voice tasks like alphanumeric recognition for using voice to enter meeting IDs and passcodes. 

https://www.sensory.com

DRUID introduces Oxygen

DRUID introduces Oxygen, its latest technology release to advance the conversational automation space by making AI-driven virtual assistants’ deployments dramatically faster and simpler for companies of any size. DRUID Oxygen also introduces a new, more straightforward way for clients to design their intelligent virtual assistant with the help of an intuitive graphic interface. Conversational experiences can be designed visually by dragging and dropping different conversational flows into one diagram, which shows how the conversation with the bot would evolve. At the same time, this makes the chatbot implementation equally fast for a multinational with distributed teams of thousands of people as a small company with a dozen employees.

DRUID intelligent virtual assistants use an advanced NLP engine and proprietary conversational technology to accept and take action on virtually any data or document request within an enterprise’s technology ecosystem. Available in more than 45 languages, on any communication channel, including MS Teams, Slack, WhatsApp Business, FB Messenger, WeChat, and more. DRUID also includes more than 500 predefined conversational templates, targeting specific roles and processes in Financial Services, Insurance, Healthcare, Telecom, Retail, Energy and Utilities, Logistics, and other industries.

https://www.druidai.com/

Expert.ai announces general availability of hybrid natural language platform

Following an early access program launched in March, expert.ai announced the general availability of its platform for designing, developing, testing, deploying and monitoring scalable natural language solutions. The expert.ai Platform uses an exclusive hybrid AI approach honed from hundreds of real-world implementations. Comprehensive and easy to use, it combines symbolic AI and machine learning techniques to ensure the best possible accuracy for each individual use case with transparency of explainable AI. Easy to deploy and operate, the cloud-based expert.ai Platform helps organizations accelerate, augment and expand expertise for any job or process that involves language. By turning any text-based document into structured data, the platform supports knowledge discovery, process automation and decision making with the flexibility to design language models for any use case.

https://expert.ai

Retresco elevates natural language generation

With the release of the new text variants suggestions feature, Berlin-based AI company Retresco, an expert in Natural Language Generation, provides a software function that uses artificial intelligence to automatically produce phrasing suggestions in the form of complete sentences. This function automates the creative writing process, shortens it, and increases text variance without user intervention, augmenting human creativity with AI.

Retresco’s NLG software (textengine.io) independently suggests high-quality texts based on a sample sentence entered within milliseconds and without complicated setup by the user. The automatically generated texts can be adopted either partially or completely and be revised at any time. Human and machine thus work hand in hand: the software generates data-based text suggestions, while the human user ultimately decides how to use them. The result: significantly greater text variance, more efficient processes in the creation of texts, a better user experience, and support for the most difficult aspect of writing: creativity. This feature is particularly relevant in cases where large volumes of versatile, high-quality text are required at frequent intervals and often under time pressure. In e-commerce, for instance, online stores need numerous product descriptions that, above all, have to be highly varied and SEO-optimized.

https://www.retresco.com/augmenting-creativity/

Philips SpeechLive supports direct speech recognition in third-party applications

Speech Processing Solutions announced the latest innovation to their web-based dictation and transcription solution, Philips SpeechLive. With the new desktop app for Windows, users can now dictate directly into any third-party applications including productivity applications Microsoft Word, Outlook or CRM software, to meet the increasing demand for efficient voice recognition and document creation processes within organizations. The new SpeechLive desktop app allows for a more user-friendly and convenient speech-to-text workflow, which saves the customer more time and avoids unnecessary errors which can be made by copying and pasting pieces of text from a different window. Philips SpeechLive now also comes with a new dedicated mobile app, which allows users to be productive on the go. The app rounds up the company’s software portfolio, allowing SpeechLive customers to turn their voice into text from anywhere, anytime.

https://www.speechlive.com/us/

GraphDB 9.8 brings text mining and Kafka connectivity

Ontotext announced the realize of GraphDB 9.8, which offers text mining integration, notifications over Kafka, Helm charts, and performance improvements. The text mining plugin comes with out-of-the-box support for text analytic services such as Ontotext’s Tag API, GATE Cloud, and spaCy server, as well as an expressive mapping language, to register new services without coding. The extracted text annotations can be manipulated with SPARQL and either returned to the caller for further processing or stored directly into the repository where they will enrich the existing knowledge graph. This functionality covers a number of use-cases that rely on both RDF and text analytics.

The Kafka connector provides a means to synchronize changes to the RDF model to any downstream system via the Apache Kafka framework. Each Kafka connector instance will stay automatically up-to-date with the GraphDB repository data. The implementation is built on the same framework as the existing Elasticsearch, Solr and Lucene connectors and allows for precise mapping from RDF to JSON, such as defining fields based on property chains, nested document support as well as advanced filtering by type, literal language or a complex expression. GraphDB 9.8 comes with standard Helm charts and instructions that can help you get started with GraphDB Enterprise Edition on Kubernetes.

https://www.ontotext.com/company/news/graphdb-9-8/

Librestream enhances knowledge-sharing with AI Connected Expert

Librestream, provider of augmented reality (AR) and remote collaboration solutions, launched new capabilities for its Artificial Intelligence (AI) Connected Expert vision giving industrial workers access to the content, people, smart data and guidance needed to efficiently and safely perform their work.

The new components to the Onsight platform include natural language processing (NLP) with real-time translation capabilities to bridge language barriers amongst global workers, and an industrial-first AR experience for the Microsoft HoloLens 2 platform. The advancements build on the AI Connected Expert workforce vertically-trained computer vision, reducing human cognitive load, and enabling faster time to competency for employees, as well as IoT sensor data visualizations within the Onsight experience.

Onsight Translator, Librestream’s NLP capability, enables users to simply and securely translate “speech to text,” including live transcription (captions) displayed on-screen and live translation of calls from one language to another. Whether a field technician works with a subject matter expert on an asset repair task, communicates with a supplier in a different country or assists with a remote inspection, Onsight Translator’s  speech recognition and machine translation bridges language gaps.

Onsight Connect for HoloLens 2 provides hands-free experience across collaborators, incorporating the mixed reality features of the HoloLens 2 such as holographic visual interface and support for gestures, voice-driven commands, and 3D audio experience.

https://librestream.com/press-releases/librestream-unveils-workforce-collaboration-and-knowledge-sharing-enhancements-as-part-of-ai-connected-expert-vision/

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