
We're expanding our tools to help you understand how content was created and edited across the web.
Google is expanding tools to help people understand how online content was created and whether it has been edited, as generative media becomes more advanced and accessible. The company uses two main approaches: SynthID, a digital watermarking technology that embeds imperceptible signals into AI-generated content, and C2PA Content Credentials, an industry standard that documents how media was created and modified. These verification capabilities are being added across Google's products including Search, Gemini, Chrome, and Pixel devices, with the ability to check if images, videos, or audio are AI-generated or camera-captured originals. Google is also partnering with other companies and advocating for global standards so that transparency tools work consistently across different platforms.

The all-cash deal gives MoEngage access to technology that assigns AI agents to individual customers.

A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Google's expanding its facial recognition feature so that people you've tagged in your Familiar Faces library can continue to be identified when their faces aren't clearly visible, using "additional non-biometric signals (body size, clothing color, etc.)." The Familiar Faces library will also begin aut

In this tutorial, we build a speech recognition and translation workflow using NVIDIA Canary-1B-v2. We begin by setting up the required audio, NeMo, NumPy, and SciPy dependencies, then load the Canary model on a GPU-enabled runtime for efficient inference. From there, we prepare audio into a clean 16 kHz mono format, perform English ASR, translate speech into multiple languages, generate word and segment timestamps, export translated subtitles as an SRT file, test long-form transcription, run b
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