Google Launches AI-Powered Product Studio

PLUS: DeepMind's AlphaFold AI now predicts proteins and other molecules with 'atomic accuracy’

Good morning! Today is Thursday, November 2nd, and we're covering Google's launch of an AI tool to generate custom product images for advertisers, and AWS's introduction of a service to rent Nvidia GPUs on a short-term basis. New to The Intelligence Age? Sign up here.
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News & Insights

Google Launches Generative AI Tools For Product Imagery To US Advertisers And Merchants

Google's newly launched AI-powered Product Studio offers advertisers and merchants an innovative approach to product imagery. This deployment allows users to generate custom images based on textual prompts, enhancing the flexibility and creativity of visual marketing strategies.

This tool extends its capabilities beyond mere aesthetics. Businesses can now refurbish low-quality images, remove distracting backgrounds, or even alter the contextual setting of a product image. Think about a skincare company shifting its product image from a summer-tropical scene to a cozy winter vista, all without the need for a reshoot. techcrunch

Why does this matter?

The adoption of this tool could potentially revolutionize the e-commerce landscape by reducing the costs and logistical complexities associated with professional photography. Furthermore, it paves the way for businesses to build a more dynamic and responsive visual branding strategy, aligning their product imagery with ongoing marketing campaigns or seasonal changes at the click of a button.

New AWS Service Lets Customers Rent Nvidia GPUs For Quick AI Projects

In a bid to streamline access to GPUs for AI projects, AWS has launched Amazon Elastic Compute Cloud (EC2) Capacity Blocks for ML. This innovative service allows clients to rent Nvidia H100 Tensor Core GPUs instances in clusters of one to 64, with a reservation window extending up to eight weeks in advance for a maximum of 14 days. This model offers cost certainty by displaying the total cost for the timeframe and resources upfront, akin to reserving a hotel room.

Channy Yun describes this as a "new way to schedule GPU instances", where the instances auto-shutdown post the reserved timeframe. This auction-style environment ensures optimal resource allocation, with prices dynamically varying based on supply and demand. Currently, this feature is available in the AWS US East (Ohio) region. techcrunch

Why does this matter?

The introduction of such time-bound, need-specific GPU rental systems could set the stage for a new trend in AI project execution. This model could pave the way for more cost-effective, flexible solutions, especially for small to medium businesses with tight budgets but big AI dreams.

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Practical AI

Snowflake Brings Together Developer And Analyst Needs In New GenAI Tool

Snowflake Cortex, a fully managed service, now provides a dual-purpose platform for both business analysts and developers to integrate with AI-enabled applications. For analysts, it streamlines the process of interacting with data stored on Snowflake using custom LLMs. Developers, on the other hand, leverage it to create generative AI applications atop Snowflake data.

Key features include Document AI, universal search, and Snowflake Copilot. Document AI enables analysts to extract structured values from unstructured documents, enhancing their ability to query information. Universal search allows them to locate data or apps across Snowflake's ecosystem. Snowflake Copilot simplifies SQL queries, converting plain language questions about data stored in Snowflake into actionable queries. techcrunch

Around The World

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  • LinkedIn introduces new AI chatbot designed to expedite the job search process.

  • Meta's Yann LeCun and 70 other experts advocate for increased transparency in AI development.

  • China's Tech Vice Minister advocates for 'equal rights' in Artificial Intelligence at global summit in the UK.

  • AMD reports significant profit increase due to its investment in AI chips.

Trending Today

Research Review

DeepMind Claims Its AI Predicts Proteins With ‘Atomic Accuracy’

DeepMind's AlphaFold, already renowned for its protein-predicting prowess, is leveling up. This new iteration supposedly achieves ‘atomic accuracy’ when predicting molecules. It's not just proteins anymore - ligands and nucleic acids such as DNA and RNA are on the table, too. The implications are vast, from accelerating drug discoveries to unearthing fresh insights into disease pathways and biorenewable materials.

DeepMind isn't just enhancing accuracy, it's challenging industry norms. Docking methods - the current standard to determine interactions between ligands and proteins - may become obsolete. AlphaFold's latest version outperforms these methods, sans reference protein structure or ligand pocket location. The ability to predict structures of proteins and ligands that haven't been structurally characterised before? That's a game-changer. techradar

Written by Isaac R. Ward, Casey Clifton, and Alex Brogan.

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