​Posted by Weicheng Kuo and Anelia Angelova, Research Scientists, Google Research Detection is a fundamental vision task that aims to localize and recognize objects in an image. However, the data collection process of manually annotating bounding boxes or instance masks is tedious and costly, which… Read More »F-VLM: Open-vocabulary object detection upon frozen vision and language models Google AI Google AI Blog

​ Amazon SageMaker comes with two options to spin up fully managed notebooks for exploring data and building machine learning (ML) models. The first option is fast start, collaborative notebooks accessible within Amazon SageMaker Studio—a fully integrated development environment (IDE) for machine learning. You can… Read More »AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru Raj Pathak AWS Machine Learning Blog

​ The domain of Artificial Intelligence is blooming at a great pace. In recent years, AI and ML have gradually evolved in a way that now every organization is introducing AI in their products and trying to inculcate its applications for great usability. Recently, a… Read More »Meet Mojo: A New Programming Language for AI Developers that Combines the Usability of Python and the Performance of C for an Unmatched Programmability of AI Hardware and the Extensibility of AI Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Github, one of the most popular code hosting platforms, is set to simplify developers’ lives. Dealing with one of the biggest bottlenecks in troubleshooting, the search for a particular element across the codebase, it is set to resolve in the publically launched beta version… Read More »Project Blackbird – Github’s New Search Engine Anant shahi Artificial Intelligence Category – MarkTechPost

​Posted by Bryan Wang, Student Researcher, and Yang Li, Research Scientist, Google Research Intelligent assistants on mobile devices have significantly advanced language-based interactions for performing simple daily tasks, such as setting a timer or turning on a flashlight. Despite the progress, these assistants still face… Read More »Enabling conversational interaction on mobile with LLMs Google AI Google AI Blog

​ Avro vs. CSV – two data serialization formats used to store and transmit data. But which one should you use? This blog post takes a look at the distinctions between Avro and CSV with respect to architecture, execution, and applications and gives advice for… Read More »Avro Vs CSV: Which Data Serialization Format Is Right For You? Seb Programmathically

​ Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content… Read More »Unlock Insights from your Amazon S3 data with intelligent search Rajesh Kumar Ravi AWS Machine Learning Blog

​ In deep reinforcement learning, an agent uses a neural network to map observations to a policy or return prediction. This network’s function is to turn observations into a sequence of progressively finer characteristics, which the final layer then linearly combines to get the desired… Read More »A novel family of auxiliary tasks based on the successor measure to improve the representations that deep reinforcement learning agents acquire Aneesh Tickoo Artificial Intelligence Category – MarkTechPost