
I’m sorry Sony, your AI isn’t very good at photography. When Sony announced the Xperia 1 VIII last month, it promoted the phone by sharing some of the worst photos taken on a Sony camera in years. These weren't just any photos, though: they were taken with Sony's new AI Camera Assistant. After a week with the Xperia 1 VIII, I'm here to tell you that the AI assistant is exactly as bad as Sony made it look. After Sony first showed me the AI Camera Assistant during a press briefing
Sony's new AI Camera Assistant is a feature embedded in the default camera app that automatically suggests photo adjustments before you take a shot, showing alternate settings in a small box in the viewfinder. The assistant primarily applies basic adjustments to exposure, white balance, contrast, and saturation, along with occasional artificial bokeh effects, resembling Instagram filters more than intelligent photography guidance. The feature performs poorly in practice, generating few photos worth keeping or sharing, and its real-time processing adds performance strain to the phone, causing the camera app to open slowly and freeze when switching lenses or accessing suggestions. Unlike other AI photography tools from competitors that edit or manipulate photos after they're taken, Sony's assistant only applies preset-style filters to scenes, raising questions about its usefulness rather than ethical concerns about photo authenticity.

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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