Category: FAANG

Deploying models at scale can be a cumbersome task for many data scientists and machine learning engineers. However, Amazon SageMaker endpoints provide a simple solution for deploying and scaling your machine learning (ML) model inferences. Our last blog post and GitHub repo on hosting a YOLOv5 TensorFlowModel on Amazon SageMaker Endpoints sparked a lot of interest …

Read more “Hosting YOLOv8 PyTorch models on Amazon SageMaker Endpoints”

Preparing a retailer’s online catalog once required expensive physical photoshoots to capture products from every angle. A Tel Aviv startup is saving brands time and money by transforming these camera clicks into mouse clicks. Hexa uses GPU-accelerated computing to help companies turn their online inventory into 3D renders that shoppers can view in 360 degrees, …

Read more “AI Before You Buy: Israeli Startup Renders 3D Product Models for Top Retailers”

Posted by Yu Zhang, Research Scientist, and James Qin, Software Engineer, Google Research Last November, we announced the 1,000 Languages Initiative, an ambitious commitment to build a machine learning (ML) model that would support the world’s one thousand most-spoken languages, bringing greater inclusion to billions of people around the globe. However, some of these languages …

Read more “Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages”

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions (BERT) to over a trillion parameters (MiCS), and whose size makes single-GPU training impractical. LLMs’ generative abilities make them popular for text synthesis, summarization, machine translation, and …

Read more “Training large language models on Amazon SageMaker: Best practices”

(Scroll down for English translation below) Wie können wir Polizeibehörden ermöglichen, den Herausforderungen der digitalen Zeit besser gerecht zu werden? Wie können wir gleichzeitig Grundrechte wahren? Dies sind Fragen, mit denen sich die Innenministerien des Bundes und der Länder bereits seit 2016 im Rahmen der sogenannten Saarbrücker Agenda beschäftigen. Konkret geht es darum, eine “moderne, …

Read more “Wie Palantir die Digitalisierung deutscher Polizeien unterstützt”

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 challenging situations require safe and efficient navigation through tight spaces, …

Read more “Performer-MPC: Navigation via real-time, on-robot transformers”

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 in both structured and unstructured repositories. An enterprise search solution should …

Read more “Index your Microsoft Exchange content using the Exchange connector for Amazon Kendra”

Editors Note: Written by Courtney Bowman, Palantir’s Global Director of Privacy and Civil Liberties Engineering, this blog highlights our belief in the need for an integrated and operationally-orientated approach to artificial intelligence, which acknowledges its limitations, while placing ethics and efficacy at the heart of its use. You can read more about our principled approach …

Read more “The Efficacy and Ethics of AI Must Move Beyond the Performative to the Operational”