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Radar Trends to Watch: June 2023

O'Reilly Media - Ideas

By the time you read this, Apple may have announced their ultra-expensive, ultra-stylish AR headset; that may be enough to break the Metaverse out of its AR/VR winter. MPT-7B demonstrates the MosaicML platform, a commercial service for training language models. But that’s hardly news. Or maybe not. Will this slow Rust’s momentum?

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Radar Trends to Watch: October 2022

O'Reilly Media - Ideas

Google’s Sparrow is an experimental AI chatbot that has been trained not to generate “dangerous” replies (ranging from hate speech to financial advice and claims of sentience). Have I been trained is a web application that searches for specific images in the LAION-5B data set, which was used to train several image generation models.

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Radar trends to watch: May 2022

O'Reilly Media - Ideas

trillion parameters–but requiring significantly less energy to train than GPT-3. Training GLAM required 456 megawatt-hours , ? The first model is a set of image-text pairs for training models similar to DALL-E. It’s probably a better experience in VR. The largest (as far as we know) is Google’s GLAM, with 1.2

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Radar trends to watch: August 2021

O'Reilly Media - Ideas

To succeed, VR will have to get beyond ultra geeky goggles. There’s a new technique for protecting natural language systems from attack by misinformation and malware bots: using honeypots to capture attackers’ key phrases proactively, and incorporate defenses into the training process. AI and Data. Virtual Reality.

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Radar Trends to Watch: June 2022

O'Reilly Media - Ideas

DeepMind’s Gato model is unique in that it’s a single model that’s trained for over 600 different tasks; whether or not it’s a step towards general intelligence (the ensuing debate may be more important than the model itself), it’s an impressive achievement. VR/AR/Metaverse. The explosion of large models continues.

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Radar trends to watch: December 2021

O'Reilly Media - Ideas

Facebook will stop using facial recognition technology and is deleting its face database, although it is keeping the model trained on that database. Out of the other side of their mouth, they have said this announcement doesn’t apply to Meta , which will use this model to produce VR products. Cryptocurrency.

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The Good and the Bad of Android App Development

Altexsoft

Consequently, there was one problem that plagued the minds of hardware and software providers: how to fit more into one this tiny device? Hardware independence. Among the things required to develop Android apps, hardware will be your least concern. Daydream VR interface. You might have had one of those.