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Category: Computing & data (Page 14 of 88)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.

TransPerfect acquires TheSpeech

March 27, 2024 /

TransPerfect, a provider of language and AI solutions for global business, today announced that it has acquired TheSpeech, a remote simultaneous interpretation platform for multilingual events. Financial terms of the transaction were not disclosed.

TheSpeech’s self-service platform enables customers to have their live events interpreted from multiple source languages to multiple target languages and broadcast live to any size audience, anywhere around the world. Key features of TheSpeech include:

  • Support for live, online, and hybrid events
  • 150+ languages
  • Closed captions for deaf and hard-of-hearing viewers
  • Support for nearly all platforms and configurations
  • Data collection and statistics for meeting organizers to be informed on engagement while being GDPR compliant
  • No hardware rental required and nothing to physically install

TheSpeech will continue to be led by CEO Peter Cselenyi, who will join TransPerfect’s management team. Cselenyi has served as CEO since founding the company in 2015 with partners Peter Vincze and Virag Vinceffy. TransPerfect was advised on the transaction by DLA Piper Hungary. TheSpeech was advised by Andersen Legal Hungary.

https://www.transperfect.com ■ https://thespeech.app

Databricks launches DBRX

March 27, 2024 /

Databricks announced the launch of DBRX, a general purpose large language model (LLM) they say outperforms established open source models on standard benchmarks. DBRX democratizes the training and tuning of custom LLMs for enterprises without relying on a small handful of closed models. Paired with Databricks Mosaic AI’s unified tooling, DBRX helps customers rapidly build and deploy generative AI applications that are safe, accurate, and governed without giving up control of their data and intellectual property.

DBRX was developed by Mosaic AI and trained on NVIDIA DGX Cloud. Databricks optimized DBRX for efficiency with a mixture-of-experts (MoE) architecture, built on the MegaBlocks open source project. For a look at model evaluations and performance benchmarks compared to existing open source LLMs like Llama 2 70B and Mixtral-8x7B, and to see how DBRX is competitive with GPT-4 quality for internal use cases such as SQL, visit the Mosaic Research blog.

DBRX is available on GitHub and Hugging Face. On the Databricks Platform, enterprises can leverage its long context abilities in retrieval augmented generation (RAG) systems, and build custom DBRX models on their data. DBRX is also available on AWS and Google Cloud, as well as directly on Microsoft Azure through Azure Databricks.

https://www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm

Adobe and Microsoft partner on GenAI for marketers

March 26, 2024 /

Adobe and Microsoft announced plans to bring Adobe Experience Cloud workflows and insights to Microsoft Copilot for Microsoft 365 to help marketers overcome application and data silos and manage workflows. The integration bring marketing insights and workflows from Adobe Experience Cloud applications and Microsoft Dynamics 365 to Microsoft Copilot, assisting marketers as they work in tools such as Outlook, Microsoft Teams and Word to develop creative briefs, create content, and manage content approvals. Initial capabilities will focus on:

  • Strategic insights in the flow of work: Campaign insights from Adobe Experience Cloud applications such as Adobe Customer Journey Analytics and Adobe Workfront, combined with Dynamics 365, the Copilot for Microsoft 365 experience helps marketers get quick insights and updates in Outlook, Teams and Word. Marketers can ask questions to get the status of a marketing project, understand campaign effectiveness, outstanding approvals, and actions to take.
  • Create campaign briefs, presentations, website updates and emails with relevant context: Marketers can also create imagery with Adobe Firefly generative AI and create content in Word that gets published directly to channels such as web and mobile.

https://news.microsoft.com/2024/03/26/adobe-and-microsoft-partner-to-bring-new-generative-ai-capabilities-to-marketers-as-they-work-in-microsoft-365-applications/ ■ https://blog.adobe.com/en/topics/adobe-summit

Ontotext updates LinkedLifeData Inventory solution

March 26, 2024 /

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, announced the latest version of its LinkedLifeData (LLD) Inventory solution, an accelerator for building knowledge graphs. Providing 200+ semantic-ready biomedical datasets, and available immediately, LinkedLifeData Inventory 1.4 serves as a resource for the scientific community, fostering multidisciplinary exploration and analysis across various facets of Life Sciences and Healthcare research.

Covering data in multiple modalities, such as genomics, proteomics, metabolomics, molecular interactions, and biological processes, LinkedLifeData Inventory allows healthcare and life sciences professionals to access public datasets and ontologies in Resource Description Framework (RDF) format to ensure semantic richness and interoperability, facilitate advanced data integration, semantic querying, and insight generation in alignment with FAIR data principles.

LinkedLifeData Inventory helps pharma companies discover and repurpose existing drugs to treat rare and newly identified diseases. Biotech companies leverage LLD Inventory to identify new drug targets and build model datasets, while research teams use it to efficiently navigate the huge volume and wide range of data about genes, proteins, compounds, diseases, etc. Enhancements include:

  • Automated data ingestion and updating
  • Entity linking and improved metadata governance
  • AI-generated Gene-disease link prediction datasets
  • Newly added datasets
  • Transformation of complex derivative datasets

https://www.ontotext.com/solutions/healthcare-and-life-sciences/linked-life-data-inventory/

Clarifai and Deepgram announce partnership

March 18, 2024 /

Clarifai, an AI platform provider, announced a strategic partnership with Deepgram, a vendor of automatic speech recognition (ASR) technology. This strategic alliance combines Deepgram’s speech-to-text models with Clarifai’s platform for building and deploying AI. It offers developers, teams, and organizations a fast way to build AI applications with voice.

The partnership focuses on Deepgram’s speech-to-text technology, known for its high accuracy and adaptability across various industries, with Clarifai’s AI platform, that simplifies the process of creating and deploying Large Language Models (LLMs), data labeling, and modeling unstructured image, video, text, and audio data. By integrating Deepgram’s expertise into the Clarifai platform, developers can now harness the power of accurate speech recognition, opening new possibilities for voice-driven AI applications.

https://www.clarifai.com/press-release/clarifai-and-deepgram-announce-strategic-partnership

Deepgram launches Aura, a text-to-speech API for real-time, conversational voice AI agents

March 12, 2024 /

Deepgram, a provider of speech recognition, natural language processing, and generative AI solutions, announced the public release of Aura, a text-to-speech (TTS) API that delivers human-like quality conversation. Aura is designed for developers who want to build real-time, conversational voice AI agents that can interact with customers, employees, and other users in a natural and engaging way. 

Aura can generate speech from any text input, including responses from LLMs like ChatGPT, in fractions of a second. This enables fluid and natural-sounding conversations with AI agents that can handle complex and dynamic scenarios. Aura offers a selection of diverse voices strongly suited for conversational use cases and preferences requiring the highest degrees of safety, security, speed, and scale.

Aura complements Deepgram’s Nova-2 speech-to-text API. With this release, Deepgram offers developers a complete voice AI platform, giving them the essential building blocks they need – from transcription to sentiment analysis to voice synthesis – to build high throughput, real-time AI agents of the future.

https://deepgram.com/learn/aura-text-to-speech-tts-api-voice-ai-agents-launch

Apache Software Foundation announces Apache Wicket v10

March 12, 2024 /

The Apache Software Foundation (ASF) announced Apache Wicket v10.0. Apache Wicket is an open source Java framework that enables developers to create feature rich websites and applications quickly while also using less code.

Since 2006, Apache Wicket has been a go-to framework for elegant, responsive, and simple HTML pages that are well suited for web designers seeking to test the applications they are building. By leveraging the latest features of Java 17 and the specifications of Jakarta Servlet, Apache Wicket 10.0 is a stable and mature framework for web and application developers seeking an efficient way to implement large codebases. Apache Wicket powers thousands of web applications and websites and is utilized worldwide. Apache Wicket 10.0 includes 20 new features, bug fixes and improvements while continuing to support the latest Java technologies. Key highlights of Apache Wicket 10.0 include:

  • To improve JPMS adoption, Apache Wicket 10.0 introduces the new module wicket-tester containing common classes for unit testing. Users of class WicketTester must now include this module as test dependency;
  • Apache Wicket now includes HTTP2 support within the wicket core module; and
  • ByteBuddy has replaced CGLib for creating serializable proxies for classes.

https://news.apache.org/foundation/entry/apache-software-foundation-announces-apache-wicket-v10

Foxit PDF Editor Suite expands AI capabilities

March 12, 2024 /

Foxit, a provider of PDF and eSignature solutions, announced advancements to its AI capabilities across the 2024 Foxit PDF Editor Suite. The enhancements include the introduction of Smart PDF Commands alongside a range of improvements to the existing ChatGPT-based AI Assistant in both the desktop and cloud versions.

Foxit PDF Editor Suite users can now leverage Smart PDF Commands, a new feature designed to streamline document processing workflows. Smart Commands supports over 80 pre-defined actions, including the ability to create and edit PDFs from various sources including images, text files, and webpages as well as combining files, organizing documents and managing forms. Foxit PDF Editor Suite users can easily type in PDF commands to efficiently accomplish tasks like page navigation, document orientation and page extraction.

The enhancements to Foxit PDF Editor Suite also include increased functionality of its ChatGPT-based AI Assistant such as: Automated Summarization, Accelerated Information Retrieval, Effortless Content Search, Chat and Interact, Define and Clarify, Enhance Writing, Fix Spelling and Grammar, and Translate Text and Documents.

 The AI Assistant and Smart PDF Commands integrate into both the Foxit PDF Editor Suite’s Desktop application and Cloud product providing a consistent and user-friendly experience regardless of your preferred work environment.

https://www.foxit.com/company/press/9004.html

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