AI & Machine Learning

Stockholm and London – September 18, 2026 -- DanAds, a self-service advertising technology provider, and Nodals AI, an autonomous AI platform for publishers, have entered a strategic partnership that combines predictive-outcome modeling with self-service ad buying, letting publishers sell performance-based campaigns without sacrificing yield.

Nodals AI's models predict clicks, conversions and video completions from publisher data

Nodals AI trains on a publisher's own first-party data to forecast advertiser outcomes such as clicks, conversions or video completes. That capability lets publishers offer CPC- or CPA-style outcome campaigns directly inside their existing ad stacks, matching advertiser demand for performance-based buying.

Palo Alto, Calif. – September 18, 2026 -- The Open Source Vision Foundation (OSVF) is building native OpenCV binaries for Windows on Snapdragon, working directly with Qualcomm Technologies to close a gap for computer vision developers targeting Snapdragon X Series-powered Windows devices.

OSVF targets native builds and automated testing infrastructure for Snapdragon

The project scope covers native OpenCV binaries built specifically for Windows on Snapdragon, automated build-and-test infrastructure designed to ensure quality at scale, targeted software optimizations for performance, and compatibility work to resolve existing dependency issues within the library.

Development will move from experimental native builds toward validated releases distributed through OpenCV's established open-source channels, with all improvements passing through the organization's existing review and testing processes.

Charleston, S.C. – September 18, 2026 -- Storiad, an operating system for author marketing, and Chicago-based Bitta AI have struck a partnership to convert published books into AI-powered interactive experiences called Living Books, giving authors a new pre-purchase engagement tool for prospective readers.

Living Books let readers test drive content before buying

The technology allows a prospective reader to ask an author's book questions, practice techniques described in it, or apply its methodology to a real situation, rather than relying on static marketing assets like excerpts, reviews or social posts. Fiction readers will eventually be able to interact with characters and explore an author's story world.