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This week in AI: Amazon ‘enhances’ reviews with AI while Snap’s goes rogue

TechCrunch

This week in AI, Amazon announced that it’ll begin tapping generative AI to “enhance” product reviews. Once it rolls out, the feature will provide a short paragraph of text on the product detail page that highlights the product capabilities and customer sentiment mentioned across the reviews. Could AI summarize those?

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Synthetic data takes aim at AI training challenges

CIO

The use of synthetic data to train AI models is about to skyrocket, as organizations look to fill in gaps in their internal data, build specialized capabilities, and protect customer privacy, experts predict. Gartner, for example, projects that by 2028, 80% of data used by AIs will be synthetic, up from 20% in 2024.

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Glass rethinks the smartphone camera through an old-school cinema lens

TechCrunch

Films weren’t always widescreen. Originally they were more likely to be approximately the shape of a 35mm film frame, for obvious reasons. If you matted out the top and bottom, you could project a widescreen image, which people liked — but you were basically just zooming in on a part of the film, which you paid for in detail.

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A startup is charging $1.99 for strings of text to feed to DALL-E 2

TechCrunch

Figuring out the right text prompts to yield the best results with AI systems like OpenAI’s DALL-E 2 has become a science in its own right. PromptBase , launched in June, allows users to sell strings of words that net predictable results with particular systems. Prompt engineering. ” Prompts can be quite nuanced.

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Scopio aims to turn hematology into remote work with $50M C round

TechCrunch

That process involves placing a smear of blood onto a slide, and examining the shape, size and structure of certain cells using a well-trained eye. Once samples are scanned in the lab, they could be reviewed by hematologists working from anywhere. You can zoom around in one of the images here. Image Credits: Scopio.

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Get your data AI-ready

CIO

The main reason is that it is difficult and time-consuming to consolidate, process, label, clean, and protect the information at scale to train AI models. But this data is in disparate systems, silos, and various formats, hindering organizations from realizing its full potential.

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AI agents will transform business processes — and magnify risks

CIO

When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. NASA’s Jet Propulsion Laboratory, for example, uses multiagent systems to ensure its clean rooms stay clean so nothing contaminates flight hardware bound for other planets.