
About 47% of singles look negatively at the use of AI in dating -- but many dating app users are open to AI helping with profile punch-ups and conversation starters.
A dating app company surveyed over 1,000 U.S. singles and found that 47 percent hold negative views of AI in romantic contexts. The survey reveals mixed attitudes: while people reject the idea of dating AI systems or bots, a significant majority support AI features that help with practical tasks like profile improvement and conversation starters. Dating apps across the industry are increasingly experimenting with AI tools, making this consumer sentiment relevant as companies decide how extensively to integrate these technologies into their 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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