Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity. If AGI is successfully created, this technology could help us elevate humanity by increasing abundance, turbocharging the global economy, and aiding in the discovery of new scientific knowledge that changes the limits of possibility. AGI has …
Posted by Yang Li, Research Scientist, and Gang Li, Software Engineer, Google Research The computational understanding of user interfaces (UI) is a key step towards achieving intelligent UI behaviors. Previously, we investigated various UI modeling tasks, including widget captioning, screen summarization, and command grounding, that address diverse interaction scenarios such as automation and accessibility. We …
Read more “A vision-language approach for foundational UI understanding”
In recent years, advances in computer vision have enabled researchers, first responders, and governments to tackle the challenging problem of processing global satellite imagery to understand our planet and our impact on it. AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers …
Advancements in whole genome sequencing have ignited a revolution in digital biology. Genomics programs across the world are gaining momentum as the cost of high-throughput, next-generation sequencing has declined. Whether used for sequencing critical-care patients with rare diseases or in population-scale genetics research, whole genome sequencing is becoming a fundamental step in clinical workflows and …
Why we must address the many potential ethical and regulatory considerations of ChatGPT and other advanced AI tools.Read More
The movie seems destined for internet infamy but doesn’t live up to the promise of its viral trailer.
The human retina not only senses light signals, but also processes them simultaneously by capturing their rich dynamics, thus accelerating the task-dependent learning in the down-stream visual cortex. This synergy of both the retina and the visual cortex has inspired in-sensor multi-task learning.
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When you build and train a PyTorch deep learning model, you can provide the training data in several different ways. Ultimately, a PyTorch model works like a function that takes a PyTorch tensor and returns you another tensor. You have a lot of freedom in how to get the input tensors. Probably the easiest is …
Read more “Training a PyTorch Model with DataLoader and Dataset”
Hey there, We are planning something and wanted to give you a sneak peek. Yes, it’s about ChatGPT and the Chatbot Conference. We are working on bringing you an event that will blow your mind. We can’t say too much right now, but trust us, you won’t want to miss this. We have big plans …