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Category: Computing & data (Page 2 of 76)

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.

Adobe and Microsoft partner on GenAI for marketers

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

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

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

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

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

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

Bridgeline announces Zeus launch with Concept and Image Search

Bridgeline Digital, Inc., a provider of marketing software, announced the release date of its HawkSearch “Smart Search” technology, set for March 15, 2024. Smart Search introduces two new ways to search, Concept and Visual Search, changing how customers interact with search and leading to increased engagement and revenue for businesses.

HawkSearch will introduce its “Zeus” update for Smart Search and GenAI capabilities on March 15, 2024. This update introduces AI-powered Concept and Visual Search to help HawkSearch customers generate more revenue. Smart Search uses AI models, vector databases, and large language models to process customer queries, whether typed or through images. For instance, Visual Search allows a customer to upload an image of a product, and HawkSearch will show similar items for purchase. Concept Search lets users describe their needs in natural language, and the system finds relevant products or information.

https://www.bridgeline.com

Netlify unveils AI-enabled deploy assist to improve developer productivity

Netlify, a platform for modern web development, today announced the general availability of the AI-enabled deploy assist. Available as a part of Netlify’s Composable Web Platform, this tool leverages AI to analyze failed deployments and provide suggestions to correct the errors. As a result, developers significantly reduce their time spent manually reviewing logs, leading to increased productivity, faster and more predictable go-to-market workflows, and a more satisfying developer experience.

  • Debugging failed builds and providing suggested fixes, freeing developers from hours of log-diving and troubleshooting to ship code faster leading to a differentiated and more rewarding developer experience.
  • Assisting developers with quality feedback on failed builds enabling rapid code fixes, ensuring failed builds do not become bottlenecks.

https://www.netlify.com

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