Category For Dev’s

In the following, we present our GWAS results. First, we investigate handcrafted phenotypes. Second, we examine unsupervised phenotypes obtained via shape PCA. Finally, we examine the results of our proposed UPE approach. The loci were annotated with gene names on…

Data collection and labelling We analyzed the medical records of the patients diagnosed with nAMD between January 2015 and June 2021 at the Kong Eye Hospital. Only treatment-naïve eyes with nAMD were enrolled and all the patients received three monthly…

We’re excited to see all of our fellow AI enthusiasts, hardware experts, Deep Learning innovators, and Paperspace users at Nvidia GTC this year! This year we will be hosting a booth (booth 1329), a special happy hour with co-hosts Dell,…

Posted by Dave Steiner, Clinical Research Scientist, Google Health, and Rory Pilgrim, Product Manager Google Research There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology, dermatology and pathology. Machine learning (ML) technology can help…

One of the main use cases for LLMs is extracting structured data from unstructured text. We’ve added a lot of functionality to LangChain to best support this, as well as more high level end-to-end guides for this use case! We’ve…

Peripheral vision enables humans to see shapes that aren’t directly in our line of sight, albeit with less detail. This ability expands our field of vision and can be helpful in many situations, such as detecting a vehicle approaching our…

Imagine making a computer to see and understand the world, much like how we humans recognize faces or spot objects. This tasks seems to be easy for human brain but for a computer not so much! In this article we…

Posted by Amirkeivan Mohtashami, Research Intern, and Florian Hartmann, Software Engineer, Google Research Large language models (LLMs) have significantly improved the state of the art for solving tasks specified using natural language, often reaching performance close to that of people.…

This research paper was presented at the 17th ACM International Conference on Web Search and Data Mining (opens in new tab) (WSDM 2024), the premier conference on web-inspired research on search and data mining. In today’s data-driven landscape, tables are indispensable…

Bring this project to life In this article we introduce Mistral 7B, a large language model with 7 billion parameter known for its performance and efficiency. The model has surpassed the performance of the leading 13B model (Llama 2) across…

Inclusion & ethics We declare that our research complies with all relevant ethical regulations. Particle annotation using simplified labels The supervised training of the DNN model of DeepETPicker requires pairs of subtomograms and their corresponding voxel-level masks/labels (Fig. 1a, c). Limited…

Research advances are driving real-world impact faster than ever. Recent developments in AI are reshaping the way people live, work, and think. In the latest episode of Microsoft Research Forum (opens in new tab), we explore how AI is transforming…