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Radar trends to watch: August 2020

O'Reilly Media - Ideas

OpenAI’s GPT-2 natural language generation has now been trained to generate images , a significant step forward in the creation of realistic fake video. Spacial perception for robotics : Identifying objects is easy, but building a model of a 3D scene is difficult, and an essential problem for general-purpose robotics.

Trends 109
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10 Lessons That All New Business Owners Must Heed In The Modern Era

Strategy Driven

A skilled video production company can create visual content that wins over audiences and celebrates your USPs in style. Videos are great because viewers retain more of the brand message too. Their data protection services can be supported by staff training to prevent malware and ransomware.

USP 49
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Radar Trends to Watch: October 2022

O'Reilly Media - Ideas

Facebook/Meta ups the ante on AI-generated images: they have a system that creates short videos from a natural language description. Videos are currently limited to five seconds. It consists of a series of 3D animations. An AI model has to rate the videos as “surprising” or “expected.” Artificial Intelligence.

Trends 110
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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. The explosion of large models continues. Artificial Intelligence.

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Radar Trends to Watch: March 2023

O'Reilly Media - Ideas

Humans write specifications (product managers), test and review automatically generated code, and train models to use new APIs. It’s trained using a small set of human-written examples showing it how to call the APIs. Gen-1 is a text-based generative model for video. Fake ChatGPT apps are being used to spread malware.

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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 , ? Google has released a dataset of 3D-scanned household items. The first model is a set of image-text pairs for training models similar to DALL-E. Google has created GLAM a 1.2 the energy of GPT-3.

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Digital Transformation in Healthcare: 7 Key Trends for 2023

Openxcell

Virtual and Augmented Reality Virtual reality was once thought of as a novelty that belonged to video games. Virtual reality (VR) helps with surgical planning and training in healthcare, making treatments more comfortable for both patients and doctors. The inventors of this technology are Organovo and EnvisionTEC.