In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...
New research has found that Google Cloud API keys, typically designated as project identifiers for billing purposes, could be abused to authenticate to sensitive Gemini endpoints and access private ...
Google API keys for services like Maps embedded in accessible client-side code could be used to authenticate to the Gemini AI assistant and access private data. Researchers found nearly 3,000 such ...
These days, rather than showing you the traditional list of links when you run a search query, Google is intent on throwing up AI Overviews instead: synthesized summaries of information scraped off ...
Developer Knowledge API and Model Context Protocol server. Together connect AI agents to Google’s developer and Google Cloud documentation. Google is previewing the Developer Knowledge API and an ...
Google released v23 of the Google Ads API, the first update of 2026. It marks the start of a faster release cadence. What’s new. The update adds deeper Performance Max reporting, more granular ...
Google has released version 23 of the Google Ads API, this is a major release with dozens of updates. Updates include Performance Max reporting data with Ad Network type breakdown, more incentives, ...
For the last two years, the fundamental unit of generative AI development has been the "completion." You send a text prompt to a model, it sends text back, and the transaction ends. If you want to ...
Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...
What if building advanced AI-powered search systems didn’t require a team of engineers or months of development? Imagine uploading a few files, tweaking minimal settings, and instantly allowing your ...
The Gemini API improvements include simpler controls over thinking, more granular control over multimodal vision processing, and ‘thought signatures’ to improve function calling and image generation.