​Posted by Krzysztof Choromanski, Staff Research Scientist, Robotics at Google, and Xuesu Xiao, Visiting Researcher, George Mason University Despite decades of research, we don’t see many mobile robots roaming our homes, offices, and streets. Real-world robot navigation in human-centric environments remains an unsolved problem. These… Read More »Performer-MPC: Navigation via real-time, on-robot transformers Google AI Google AI Blog

​ Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored… Read More »Index your Microsoft Exchange content using the Exchange connector for Amazon Kendra Ashish Lagwankar AWS Machine Learning Blog

​ Machine learning (ML) can help companies make better business decisions through advanced analytics. Companies across industries apply ML to use cases such as predicting customer churn, demand forecasting, credit scoring, predicting late shipments, and improving manufacturing quality. In this blog post, we’ll look at… Read More »Achieve rapid time-to-value business outcomes with faster ML model training using Amazon SageMaker Canvas Ajjay Govindaram AWS Machine Learning Blog

​ As social beings, humans daily communicate and express themselves through their behavior and accessories. With the expansion of social life into the online realm through social media and gaming, virtual representations of users, usually called avatars, have become increasingly important for social presence. The… Read More »Meet MEGANE: A Novel AI Approach For Synthesizing Realistic And Morphable Eyeglass Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ In-context learning is a natural language paradigm that demonstrates the ability of pre-trained models to pick up new behaviors using only a small number of example prompts as input. Most recent research indicates that large language models (LLMs), such as GPT-3 and the newest… Read More »Meet RECITE: A New Paradigm To Help Large Language Models (LLMs) Generate More Accurate Factual Knowledge Without Retrieving From An External Corpus Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ With the growing popularity and advancements in Artificial Intelligence, AI has successfully stepped into the field of Robotics. Robotics is a branch of engineering in which machines are developed and programmed to perform tasks without human involvement. A number of AI technologies are being… Read More »Researchers From Stanford Introduce Voltron: A Framework For Language-Driven Representation Learning From Human Videos Associated Captions Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Nowadays, text-based generative picture models are capable of creating a wide range of photorealistic images. Many recent efforts have expanded the text-to-image models to further accomplish customized generation by adding conditions such as segmentation maps, scene graphs, drawings, depth maps, and inpainting masks or… Read More »Alibaba AI Research Proposes Composer: A Large (5 Billion Parameters) Controllable Diffusion Model Trained on Billions of (Text, Image) Pairs Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​Posted by Florian Hartmann, Software Engineer, and Peter Kairouz, Research Scientist, Google Research Federated learning is a distributed way of training machine learning (ML) models where data is locally processed and only focused model updates and metrics that are intended for immediate aggregation are shared… Read More »Distributed differential privacy for federated learning Google AI Google AI Blog

​ Financial market participants are faced with an overload of information that influences their decisions, and sentiment analysis stands out as a useful tool to help separate out the relevant and meaningful facts and figures. However, the same piece of news can have a positive… Read More »Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic Ankur Srivastava AWS Machine Learning Blog

​ Amazon Kendra is an easy-to-use intelligent search service that allows you to integrate search capabilities with your applications so users can find information stored across data sources like Amazon Simple Storage Service , OneDrive and Google Drive; applications such as SalesForce, SharePoint and Service Now;… Read More »Search for answers accurately using Amazon Kendra S3 Connector with VPC support Maran Chandrasekaran AWS Machine Learning Blog