It’s the most transparent estimate yet from one of the big AI companies, and a long-awaited peek behind the curtain for researchers.

Gemini queries are getting cleaner and more efficient, according to data it published today, but their total carbon footprint is still growing.

The move by Google and Oracle signals a future in which AI is no longer locked to a single provider’s platform.

Google released its first publicly available "multi-agent" AI system, which uses more computational resources, but produces better answers.

Hidden prompts in Google Calendar events can trick Gemini AI into executing malicious commands via indirect prompt injection.

Google Cloud’s new AI agents, Gemini APIs and agentic AI innovation includes Google products for GitHub, Google Data Cloud, BigQuery and Spanner.

Health Coach is powered by the company's Gemini AI model and functions as a fitness trainer, sleep coach, and health and wellness advisor — all-in-one. It can analyse data and adapt itself based on the user's personal health and wellness metrics, providing tailored goals based on real-time metrics collected from Fitbit or Pixel Watch.

Google estimates that a median Gemini text prompt uses up about five drops of water, or 0.26 milliliters, and about as much electricity as watching TV for less than nine seconds, roughly 0.24 watt-hours (Wh), which produces around 0.03 grams of carbon dioxide emissions.