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Category: Computing & data (Page 9 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.

Elastic returns to open source license for Elasticsearch and Kibana

Elastic, a Search AI Company, announced that it is adding the GNU Affero General Public License v3 (AGPL) as an option for users to license the free part of the Elasticsearch and Kibana source code that is available under Server Side Public License 1.0 (SSPL 1.0) and Elastic License 2.0 (ELv2).

With the addition of AGPL, an open source license approved by the Open Source Initiative (OSI), Elasticsearch and Kibana will be officially considered open source and enable Elastic’s customers and community to use, modify, redistribute, and collaborate on Elastic’s source code under a well-known open source license.

Adding AGPL will also enable greater engagement and adoption across our users in areas including vector search, further increasing the popularity of Elasticsearch as a runtime platform for RAG and building GenAI applications.

The addition of AGPL as a license option does not affect existing users working with either SSPL or ELv2, and there will be no change to Elastic’s binary distributions. Similarly, for users building applications or using plugins on Elasticsearch or Kibana, nothing changes — Elastic’s client libraries will continue to be licensed under Apache 2.0.

https://www.elastic.co/blog/elasticsearch-is-open-source-again

Microsoft introduces Bing generative search

From The Microsoft Bing Blog…

… Today, we’re excited to share an early view of our new generative search experience which is currently shipping to a small percentage of user queries …

This new experience combines the foundation of Bing’s search results with the power of large and small language models (LLMs and SLMs). It understands the search query, reviews millions of sources of information, dynamically matches content, and generates search results in a new AI-generated layout to fulfill the intent of the user’s query more effectively.

We’ve refined our methods to optimize accuracy in Bing, applying those insights as we continue to evolve our use of LLMs in search. We are continuing to look closely at how generative search impacts traffic to publishers. Early data indicates that this experience maintains the number of clicks to websites and supports a healthy web ecosystem. The generative search experience is designed with this in mind, including retaining traditional search results and increasing the number of clickable links, like the references in the results. 

We are slowly rolling this out and will take our time, garner feedback, test and learn, and work to create a great experience before making this more broadly available.

https://blogs.bing.com/search/July-2024/generativesearch

DeepL launches LLM focused on translation quality and performance

DeepL, a global Language AI company, announced its next-generation language model, powered by a highly-specialized LLM technology built specifically for translation and editing to outperform competitors. The update enhances translation quality and performance in DeepL’s Language AI platform for businesses:

  • A specialized LLM: the DeepL solution leverages an LLM uniquely tuned for language, resulting in more human-like translations and writing for a variety of use cases with a reduced risk of hallucinations and misinformation.
  • Proprietary data: unlike general purpose models that simply train on the public internet, the DeepL model leverages over seven years of proprietary data specifically tuned for content creation and translation.
  • Human model tutoring: with a focus on quality, the DeepL model leverages thousands of hand-picked language experts specifically trained to “tutor” the model to best-in-class translation.

Translations using the next-gen model are available for DeepL Pro customers for translations in English, Japanese, German, and Simplified Chinese, with additional languages coming soon. The LLM can be activated within the web translator by selecting “next-gen model”. DeepL Pro users are protected by enterprise-grade security and compliance standards (ISO 27001 certification, GDPR/SOC 2 type 2 compliance), and no Pro translations are ever used to train its models.

https://www.deepl.com/en/press-release#2GYyHCVU8bjbu1iewCwLLx

TransPerfect introduces GlobalLink Live

TransPerfect, a provider of language and AI solutions for global business, announced the launch of GlobalLink Live, an AI-powered interpretation and accessibility platform that enables users to choose a mix of traditional interpretation and AI voice-to-voice translation to engage with live speech.

With GlobalLink Live multilingual capabilities, audiences can consume live speech—whether as part of a large event, small group meeting, or one-on-one encounter—in their preferred language regardless of the source language. Created as a turnkey solution to facilitate better language access for in-person, hybrid, and remote events, GlobalLink Live facilitates multiple options from traditional human interpretation to AI voice technology. Independent of location, subject area, budget, or local interpreter availability, event organizers have multiple options to ensure they can maximize engagement with their audiences.

Meetings and gatherings with attendees from differing language backgrounds, as well as service industry interactions between agents and customers who speak different languages, can all be facilitated through GlobalLink Live. The self-service platform can be used for on-site and remote speakers, and can be accessed by audiences attending in person or viewing remotely. Program owners can choose to deliver content via simultaneous human interpretation, live subtitles, or using AI-powered voice-to-voice dubbing technology.

https://globallink.transperfect.com

Elastic introduces Playground to accelerate RAG development with Elasticsearch

Elastic announced Playground, a low-code interface that enables developers to build RAG applications using Elasticsearch in minutes.

While prototyping conversational search, the ability to rapidly iterate on and experiment with key components of a RAG workflow (for example: hybrid search, or adding reranking) are important— to get  accurate and hallucination-free responses from LLMs.

Elasticsearch vector database and the Search AI platform provides developers with a wide range of capabilities such as comprehensive hybrid search, and to use innovation from a growing list of LLM providers. Our approach in our playground experience allows you to use the power of those features, without added complexity.

Playground’s intuitive interface allows you to A/B test different LLMs from model providers (like OpenAI and Anthropic) and refine your retrieval mechanism, to ground answers with your own data indexed into one or more Elasticsearch indices. The playground experience can leverage transformer models directly in Elasticsearch, but is also amplified with the Elasticsearch Open Inference API which integrates with a growing list of inference providers including Cohere and Azure AI Studio.

https://www.elastic.co/search-labs/blog/rag-playground-introduction

Franz announces AllegroGraph 8.2

Franz Inc., a supplier of Graph Database technology for Entity-Event Knowledge Graph Solutions, announced AllegroGraph 8.2, a Neuro-Symbolic AI Platform, with enhancements to ChatStream offering users a natural language query interface that provides more accurate and contextually relevant responses. ChatStream’s Graph RAG with Feedback enables more accurate, context-aware, and continuously evolving natural language queries, providing stateful and contextually relevant responses. Additional updates include:

Knowledge Graph-as-a-Service – A new hosted, free version grants users access to AllegroGraph with LLMagic via a web login.

Enhanced Scalability and Performance – AllegroGraph includes enhanced FedShard capabilities making the management of sharding more straightforward and user-friendly, reducing query response time and improving system performance.

New Web Interface – AllegroGraph includes a redesign of its web interface, AGWebView, that provides an intuitive way to interact with the platform, while co-existing with the Classic View.

Advanced Knowledge Graph Visualization – A new version of Franz’s graph visualization software, Gruff v9, is integrated into AllegroGraph. Gruff now includes the ChatStream Natural Language Query feature as a new means to query your Knowledge Graph and is a visualization tool that illustrates RDF-Star (RDF*) annotations, enabling users to add descriptions to edges in a graph – such as scores, weights, temporal aspects and provenance.

https://franz.com

Box enhances Box AI for intelligent content management

Box, Inc. announced that end user queries in Box AI for Hubs, Documents, and Notes will be unlimited for customers on its Enterprise Plus plan. Box also unveiled a new set of features in Box AI that includes an integration with GPT-4o, support for image and spreadsheet files, and the Box AI for Metadata API.

  • Integration with GPT-4o: Box plans to support the new GPT-4o model in Box AI. GPT-4o provides advanced capabilities that help Box Hubs deliver higher quality answers and increased support for over 20 additional languages. Box Hubs users will also benefit from enhanced text-related functionalities including multimodal understanding, ethical and sensitive content handling, and task-specific adaptation.
  • Support for additional file types: Box will support natural language queries on image file formats. Users will be able to execute commands for precise data analysis in spreadsheets, simplifying interactions with large structured data sets.
  • All-New Metadata API: Developers will be able to integrate Box AI with custom applications using the new Box AI for Metadata API to automatically extract key information from documents. Customers will be able to automate processes based on file metadata, extract key fields from unstructured content, and save information to external applications such as Salesforce.

https://blog.box.com/box-announces-powerful-enhancements-box-ai-intelligent-content-management

RWS launches Trados Studio 2024

RWS, a provider of technology-enabled language, content and intellectual property solutions, announced the launch of Trados Studio 2024. The latest version of the computer-assisted translation (CAT) tool addresses the evolving needs of users on multiple fronts with access to new AI capabilities, enhanced accessibility features and multiple usability improvements:

New AI capabilities: Trados Studio 2024 gives users access to a range of AI features that help them to work smarter and produce higher quality translations. One of these is Trados Copilot – AI Assistant which brings generative translation capabilities to every user, allowing them to harness Large Language Models (LLMs) in a variety of ways to assist translation. 

New accessibility features: With the accessible, feature-rich CAT tool, the ability to complete a project with screen readers, visually impaired users can now create and manage projects, perform translation and generate target files easily. These advancements in accessibility help create equal opportunities for all and also improve usability and productivity across the supply chain. 

Improved cloud and desktop alignment: Along with hundreds of enhancements, RWS has released a new Manager view, providing a more unified way to work with files and projects in a single window with a clean, modern interface. 

https://www.trados.com

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