An automated way to assemble thousands of objects

The manufacturing industry (largely) welcomed artificial intelligence with open arms. Less of the dull, dirty, and dangerous? Say no more. However, planning for mechanical assemblies still requires more than scratching out some sketches, of course—it’s a complex conundrum that means dealing with arbitrary 3D shapes and highly constrained motion required for real-world assemblies.

Modeling Heart Rate Response to Exercise with Wearable Data

This paper was accepted at the workshop “Learning from Time Series for Health” at NeurIPS 2022. Heart rate (HR) dynamics in response to workout intensity and duration measure key aspects of an individual’s fitness and cardiorespiratory health. Models of exercise physiology have been used to characterize cardiorespiratory fitness in well-controlled laboratory settings, but face additional …

Stable Diffusion with Core ML on Apple Silicon

Today, we are excited to release optimizations to Core ML for Stable Diffusion in macOS 13.1 and iOS 16.2, along with code to get started with deploying to Apple Silicon devices. Figure 1: Images generated with the prompts, “a high quality photo of an astronaut riding a (horse/dragon) in space” using Stable Diffusion and Core …

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Will You Find These Shortcuts?

Posted by Katja Filippova, Research Scientist, and Sebastian Ebert, Software Engineer, Google Research, Brain team Modern machine learning models that learn to solve a task by going through many examples can achieve stellar performance when evaluated on a test set, but sometimes they are right for the “wrong” reasons: they make correct predictions but use …

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Build a robust text-based toxicity predictor

With the growth and popularity of online social platforms, people can stay more connected than ever through tools like instant messaging. However, this raises an additional concern about toxic speech, as well as cyber bullying, verbal harassment, or humiliation. Content moderation is crucial for promoting healthy online discussions and creating healthy online environments. To detect …

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Data: the Rx to faster, patient-centric clinical trials

Out of necessity, the life sciences industry has accelerated the innovation and experimentation of drug and device development. The sector, which has traditionally been slow-moving when it comes to clinical trials—for reasons ranging from regulatory, to trial recruitment, to quality control—is now looking towards cloud technology to speed up the process and find new innovative …