Fashion

Meta’s AI-powered Smart Shades with Ray-Ban

Meta’s AI-powered Ray-Ban smart shades revolutionise wearable tech in Asia.

Published

6 months ago

May 7, 2024

AIinAsia

TL/DR:

Meta’s Ray-Ban smart glasses receive a major AI upgrade, featuring a ChatGPT-enabled AI assistant and real-time translation capabilities.
The smart shades offer new stylish frames and social app integration, but raise privacy concerns among users.
Asia’s AI and AGI market is booming, with innovative applications transforming various sectors and reshaping the future.

Meta’s AI-Powered Ray-Ban Smart Shades: A New Chapter in Wearable Technology

Meta, in partnership with Ray-Ban, has unveiled a significant AI update for their smart glasses. The second-generation smart sunglasses now boast impressive new capabilities, thanks to the Meta AI with Vision feature. By integrating Meta’s ChatGPT-enabled AI assistant, users can access an AI voice assistant, real-time translation services, and object identification within their field of vision.

The update introduces video calling in WhatsApp or Facebook Messenger, allowing users to share their view from the glasses’ front-facing cameras. The smart shades come in two new fashionable frame styles: the Headliners and the Skylers. Their sleek design helps them blend seamlessly into everyday life, unlike previous smart glasses, such as Google Glass.

Privacy Concerns and the Importance of Data Protection

Despite their attractive design and advanced features, the Meta-Ray-Ban smart glasses have raised privacy concerns. As these glasses capture more aspects of users’ lives, it is important to remember Meta’s history of mishandling user data. Striking a balance between innovation and data protection is crucial as AI and AGI technologies continue to progress.

What are your thoughts on the AI-powered Meta’s Ray-Ban smart shades? Are you excited about the future of wearable tech, or do privacy concerns give you pause? Share your experiences with AI and AGI technologies and your thoughts on upcoming trends in the comments below. Don’t forget to subscribe for updates on AI and AGI developments in Asia!

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Replicating Rare Fragrances with AI: Norwegian Researchers Use Machine Learning to Preserve Scents

Norwegian researchers use AI to replicate rare fragrances, potentially revolutionising the perfume industry.

Published

8 months ago

March 6, 2024

AIinAsia

TL;DR

Norwegian researchers use machine learning to replicate rare and obscure fragrances
AI-generated molecules closely mimic target scents, potentially rescuing rare fragrances from extinction
This method could enable an efficient, replicable process for creating perfumes and offer a cheaper, more sustainable solution for the perfume industry

Preserving Rare Fragrances with AI

Researchers from the Norwegian University of Science and Technology have used machine learning to replicate rare and obscure fragrances, potentially revolutionising the perfume industry. By mapping molecules to different scents with a neural network, the team can generate new molecules that closely mimic target scents, potentially rescuing rare fragrances from extinction.

Methodology Breakdown To Replicate Fragrances With AI

The team’s methodology involves analyzing target fragrances to understand their scent profiles, including their scent families and intensity. They then use a Gated Graph Neural Network (GGNN) trained on a vast database of molecules to generate new molecules that could potentially replicate the target fragrance. The final stage involves optimizing the perfume formulation to match the original scent.

Benefits for the Perfume Industry

This AI-based method could enable an efficient, replicable process for creating perfumes, a task that typically requires considerable trial and error. It could also offer a cheaper and more sustainable solution for the perfume industry, which currently faces high costs and long development times. Expanding the database to include more complex molecules could enhance the accuracy of AI-generated fragrances.

How else could AI be used to preserve and replicate sensory experiences beyond fragrances?

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