Category: AI Category


  • OpenAI just fixed ChatGPT’s most annoying business problem: meet the PDF export that changes everything

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI launched a new PDF export capability for its Deep Research feature today, enabling users to download comprehensive research reports with fully preserved formatting, tables, images, and clickable citations. The seemingly modest update reveals the company’s…

  • Aarki launches Encore as privacy-first mobile growth platform

    Aarki has launched Encore, a next-generation machine learning platform built to deliver full-funnel growth for mobile marketers in a privacy-first landscape. Designed for smarter user acquisition and stronger retention, Encore combines dynamic targeting, continuous model evolution, and SKAN 4-ready optimization.  Encore is the industry’s only unified platform with a privacy-first framework that supports both User…

  • New fully open source vision encoder OpenVision arrives to improve on OpenAI’s Clip, Google’s SigLIP

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The University of California, Santa Cruz has announced the release of OpenVision, a family of vision encoders that aim to provide a new alternative to models including OpenAI’s four-year-old CLIP and last year’s Google’s SigLIP. A…

  • Glass Imaging raises $20M to use AI to improve digital image quality

    Glass Imaging, a company harnessing the power of artificial intelligence to revolutionize digital image quality, raised $20 million in funding. Global software investor insight Partners led the round. With the funding, Glass Imaging will continue to refine and implement their proprietary GlassAI technologies across a wide range of camera platforms – from smartphones to drones to wearables and…

  • Aarki launches Encore as privacy-first mobile growth platform

    Aarki has launched Encore, a next-generation machine learning platform built to deliver full-funnel growth for mobile marketers in a privacy-first landscape. Designed for smarter user acquisition and stronger retention, Encore combines dynamic targeting, continuous model evolution, and SKAN 4-ready optimization.  Encore is the industry’s only unified platform with a privacy-first framework that supports both User…

  • The Trump AI chip policy reversal announced this week signals a shift in how advanced computing technologies will flow in global markets, as the administration prepares to dismantle Biden’s complex three-tier regulatory framework. Set to take effect on May 15, 2025, the Biden administration’s Framework for Artificial Intelligence Diffusion would have created a stratified global…

  • From silicon to sentience: The legacy guiding AI’s next frontier and human cognitive migration

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Humans have always migrated, not only across physical landscapes, but through ways of working and thinking. Every major technological revolution has demanded some kind of migration: From field to factory, from muscle to machine, from analog…

  • MCP and the innovation paradox: Why open standards will save AI from itself

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Bigger models aren’t driving the next wave of AI innovation. The real disruption is quieter: Standardization. Launched by Anthropic in November 2024, the Model Context Protocol (MCP) standardizes how AI applications interact with the world beyond…

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  • Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford University explored the generalization capabilities of these two…