Curated for content, computing, and digital experience professionals

Category: Computing & data (Page 3 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.

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.

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.

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.

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.

New Adobe Express mobile app brings Firefly generative AI models to mobile workflows

Adobe released the new Adobe Express mobile app for Android and iOS in beta with Adobe Firefly generative AI and new mobile editing capabilities that make it faster to turn creative ideas into standout content on-the-go. Adobe Express is powered by Adobe’s imaging, video and design technologies. Using the Adobe Express mobile app, Creative Cloud members can easily access, work on and edit creative assets from Photoshop and Illustrator directly within Adobe Express, or add linked files that sync in Adobe Express as they edit in Creative Cloud apps. Subscribers have full access to all premium features in Adobe Express across desktop web and mobile.

  • Text to Image: Quickly create a new look for a project by instantly generating new images with Firefly generative AI.
  • Generative Fill: Insert, remove or replace people, objects and more with simple text prompts.
  • Text Effects: Make attention-grabbing headlines, copy and messages that pop with text stylings using generative AI.
  • Video: Get started with unique templates, combine video clips, images and music, add animations, and generate real-time captions in 100+ languages – instantly.

The new Adobe Express mobile app in beta is available for free on Android and iOS devices.

Box integrates with Microsoft Azure OpenAI Service

Box, Inc., a Content Cloud, announced a new integration with Microsoft Azure OpenAI Service to bring its advanced large language models to Box AI. The integration of Azure OpenAI Service enables Box customers to benefit from the advanced AI models, while bringing Box and Microsoft’s enterprise standards for security, privacy, and compliance to this technology.  

Guided by its AI Principles, Box has built Box AI on the company’s platform-neutral framework, allowing it to connect with today’s large language models. By integrating with Azure OpenAI Service, Box is applying advanced intelligence models to its Content Cloud to advance enterprise-grade AI. Microsoft and Box already help customers meet strict compliance requirements like FINRA, GxP, and FedRAMP. With today’s announcement, they will also empower organizations across highly-regulated industries to leverage AI for new use cases.

Box AI, including the integration with Azure OpenAI Service, is generally available today, and is included in all Enterprise Plus plans, with individual users having access to 20 queries per month and 2,000 additional queries available on a company level.

Couchbase adds vector search to database platform

Couchbase, Inc. cloud database platform company, introduced vector search as a new feature in Couchbase Capella Database-as-a-Service (DBaaS) and Couchbase Server to help businesses bring to market a new adaptive applications that engage users in a hyper-personalized and contextualized way. The new feature offers vector search optimized for running onsite, across clouds, to mobile and IoT devices at the edge, so organizations can run adaptive applications anywhere.

While vector-only databases aim to solve the challenges of processing and storing data for LLMs, having multiple standalone solutions adds complexity to the enterprise IT stack and slows application performance. Couchbase’s multipurpose capabilities deliver a simplified architecture to improve the accuracy of LLM results. Couchbase also makes it easier and faster for developers to build such applications with a single SQL++ query using the vector index, removing the need to use multiple indexes or products. With vector search as a feature across all Couchbase products, customers gain:

  • Similarity and hybrid search, combining text, vector, range and geospatial search capabilities in one.
  • RAG to make AI-powered applications more accurate, safe and timely.
  • Enhanced performance because all search patterns can be supported within a single index to lower response latency.

IBM announces availability of open-source Mistral AI Model on watsonx 

IBM announced the availability of the popular open-source Mixtral-8x7B large language model (LLM), developed by Mistral AI, on its watsonx AI and data platform, as it continues to expand capabilities to help clients innovate with IBM’s own foundation models and those from a range of open-source providers.

The addition of Mixtral-8x7B expands IBM’s open, multi-model strategy to meet clients where they are and give them choice and flexibility to scale enterprise AI solutions across their businesses.

Mixtral-8x7B was built using a combination of Sparse modeling — a technique that finds and uses only the most essential parts of data to create more efficient models — and the Mixture-of-Experts technique, which combines different models (“experts”) that specialize in and solve different parts of a problem. The Mixtral-8x7B model is widely known for its ability to rapidly process and analyze vast amounts of data to provide context-relevant insights.

This week, IBM also announced the availability of ELYZA-japanese-Llama-2-7b, a Japanese LLM model open-sourced by ELYZA Corporation, on watsonx. IBM also offers Meta’s open-source models Llama-2-13B-chat and Llama-2-70B-chat and other third-party models on watsonx.,-Expands-Model-Choice-to-Help-Enterprises-Scale-AI-with-Trust-and-Flexibility

« Older posts Newer posts »

© 2024 The Gilbane Advisor

Theme by Anders NorenUp ↑