Google DeepMind breaks new ground with ‘Mirasol3B’ for advanced video analysis
Google DeepMind announces Mirasol3B, a new multimodal AI system for understanding long videos, but questions remain about real-world applicability.Read More
Google DeepMind announces Mirasol3B, a new multimodal AI system for understanding long videos, but questions remain about real-world applicability.Read More
Need some smart home gadgets or toiletries? Target started its holiday sale early, with a price-match guarantee.
Engineers have developed a high-throughput, multimaterial 3D inkjet printer that uses computer vision to rapidly and automatically control the amount of material being deposited during the printing process in real time. This enables the use of a wide range of materials for fabrication.
Researchers in Australia have harnessed AI to produce solar cells from the mineral perovskite in just a matter of weeks, bypassing years of human labor and human error to optimize the cells.
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The household name in video is making AI-generated content easier to spot on the platform.
The structure of Ghostbuster, our new state-of-the-art method for detecting AI-generated text. Large language models like ChatGPT write impressively well—so well, in fact, that they’ve become a problem. Students have begun using these models to ghostwrite assignments, leading some schools to ban ChatGPT. In addition, these models are also prone to producing text with factual …
Read more “Ghostbuster: Detecting Text Ghostwritten by Large Language Models”
Asymmetric Certified Robustness via Feature-Convex Neural Networks TLDR: We propose the asymmetric certified robustness problem, which requires certified robustness for only one class and reflects real-world adversarial scenarios. This focused setting allows us to introduce feature-convex classifiers, which produce closed-form and deterministic certified radii on the order of milliseconds. Figure 1. Illustration of feature-convex classifiers …
Read more “Asymmetric Certified Robustness via Feature-Convex Neural Networks”
Posted by Isaac Noble, Software Engineer, Google Research, and Anelia Angelova, Research Scientist, Google DeepMind When building machine learning models for real-life applications, we need to consider inputs from multiple modalities in order to capture various aspects of the world around us. For example, audio, video, and text all provide varied and complementary information about …
We introduce GraphCast, a state-of-the-art AI model able to make medium-range weather forecasts with unprecedented accuracy