Google InseRF Creates Ultra-realistic 3D Worlds!
Plus: Nvidia's new Chat with RTX, AI discovers that not every fingerprint is unique.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 187th edition of The AI Edge newsletter. This edition brings you Google’s InseRF, which creates hyper-realistic 3D worlds.
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🚀Google InseRF edits photorealistic 3D worlds via text prompts
📱 Nvidia's Chat with RTX lets you build a local file chatbot
🤞 AI discovers that not every fingerprint is unique
📚 Knowledge Nugget: Will the GPT Store Really Create Millionaires? by
Let’s go!
Google InseRF edits photorealistic 3D worlds via text prompts
Google Zurich and ETH Zurich has introduced a novel method for generative object insertion in the NeRF reconstructions of 3D scenes. Based on a user-provided textual description and a 2D bounding box in a reference viewpoint, InseRF generates new objects in 3D scenes.
Experiments with some real indoor and outdoor scenes show that InseRF outperforms existing methods and can insert consistent objects into NeRFs without requiring explicit 3D information as input.
Why does this matter?
Existing methods for 3D scene editing are mostly effective for style and appearance changes or removing objects. But generating new objects is a challenge for them. InseRF addresses this by combining advances in NeRFs with advances in generative AI and also shows potential for future improvements in generative 2D and 3D models.
Nvidia's Chat with RTX lets you build a local file chatbot
Nvidia has announced a new demo application called Chat with RTX that allows users to personalize an LLM with their content, such as documents, notes, videos, or other data. It supports various file formats, including text, PDF, doc/docx, and XML.
The application leverages Retrieval Augmented Generation (RAG), TensorRT-LLM, and RTX acceleration to allow users to query a custom chatbot and receive contextual responses quickly and securely. The chatbot runs locally on a Windows RTX PC or workstation, providing additional data protection over your standard cloud chatbot.
Why does this matter?
This brings a game-changing edge to AI personalization, ensuring a uniquely tailored experience. Moreover, running locally enhances data protection, flexibility, and rapid responses.
AI discovers that not every fingerprint is unique
Columbia engineers have built a new AI that shatters a long-held belief in forensics– that fingerprints from different fingers of the same person are unique. It turns out they are similar, only we’ve been comparing fingerprints the wrong way.
AI discovers a new way to compare fingerprints that seem different, but actually belong to different fingers of the same person. In contrast with traditional forensics, this AI relies mostly on the curvature of the swirls at the center of the fingerprint.
Why does this matter?
We are seeing AI make many new discoveries (suchs as new drugs)– this discovery is an example of more surprising things to come from AI. It shows how even a fairly simple AI, given a fairly plain dataset that the research community has had lying around for years, can provide insights that have eluded experts for decades.
We are about to experience an explosion of AI-led scientific discoveries by non-experts, and the expert community, including academia.
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Knowledge Nugget: Will the GPT Store Really Create Millionaires?
OpenAI’s GPT store is finally live! It’s a a storefront where third-party developers can sell their Custom GPTs (many comparing it to Apple's iOS app store).
But is it the right traction channel for you?
can help you understand if and how the GPT Store could be a valuable channel for your startup, starting by looking at how the business model might play out. In his article, he delves into various related aspects, including ways to monetize Custom GPTs without GPT store payments.Why does this matter?
Amidst the hype, this article explores the store’s potential implications, challenges, and opportunities for developers. It provides insights into the evolving landscape of AI development, potential revenue streams for developers, and the broader implications of incorporating Custom GPTs into various business strategies.
What Else Is Happening❗
🌐Google Cloud rolls out new GenAI products for retailers.
It is to help retailers personalize their online shopping experiences and streamline their back-office operations. It includes Conversational Commerce Solution, which lets retailers embed GenAI-powered agents on their websites and mobile apps– like a brand-specific ChatGPT. And a retail-specific Distributed Cloud Edge device, a managed self-contained hardware kit to reduce IT costs and resource investments around retail GenAI. (Link)
🛍️Microsoft announced new generative AI and data solutions and capabilities for retailers.
It spans the retail shopper journey, from enabling personalized shopping experiences, empowering store associates, and unlocking and unifying retail data to helping brands more effectively reach their audiences. (Link)
🚀GPT-4 Turbo now powers Microsoft Copilot. Here’s how to check if you have access.
GPT-4 Turbo, the new and improved version of GPT-4, is now free in Microsoft Copilot for some users. Here are the steps to follow– access Microsoft Copilot, open the source code, search for GPT-4 Turbo indicator, and confirm your account status. (Link)
🎨Pika Labs released a new ‘expand canvas’ feature.
Sometimes your scene could use a little extra space– or an extra horse. Expand Canvas can do that for you. Users can now generate additional space within a video and seamlessly change styles in Pika. (Link)
💳Mastercard announces development of inclusive AI tool for small businesses.
It is piloting Mastercard Small Business AI, an inclusive AI tool that delivers customized assistance for all small business owners, anytime, anywhere, as they navigate their unique and varied business hurdles. (Link)
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Thanks for reading, and see you tomorrow. 😊
Thanks so much for the inclusion!