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“Cloud Wisdom Weekly: for tech companies and startups” is a new blog series we’re running this fall to answer common questions our tech and startup customers ask us about how to build apps faster, smarter, and cheaper. In this installment, we explore how to leverage artificial intelligence (AI) and machine learning (ML) for faster innovation …
Read more “Cloud Wisdom Weekly: 4 ways AI/ML boosts innovation and reduces costs”
Palantir Automotive and Mobility is helping OEMs, suppliers, and dealers turn the corner on automotive quality The automotive industry is facing some of its biggest challenges yet. Inflation is driving the cost of raw materials up while compounding supply chain disruptions are leading to component shortages. The war in Ukraine threatens gas supplies and contributes …
Read more “How Palantir’s Automotive Solutions Will Revolutionize Quality”
Posted by Xi Chen and Xiao Wang, Software Engineers, Google Research Advanced language models (e.g., GPT, GLaM, PaLM and T5) have demonstrated diverse capabilities and achieved impressive results across tasks and languages by scaling up their number of parameters. Vision-language (VL) models can benefit from similar scaling to address many tasks, such as image captioning, …
Read more “PaLI: Scaling Language-Image Learning in 100+ Languages”
Amazon SageMaker Studio Lab is a free machine learning (ML) development environment based on open-source JupyterLab for anyone to learn and experiment with ML using AWS ML compute resources. It’s based on the same architecture and user interface as Amazon SageMaker Studio, but with a subset of Studio capabilities. When you begin working on ML …
We present an efficient method for compressing a trained neural network without using any data. Our data-free method requires 14x-450x fewer FLOPs than comparable state-of-the-art methods. We break the problem of data-free network compression into a number of independent layer-wise compressions. We show how to efficiently generate layer-wise training data, and how to precondition the …
Effectively disassembling and recovering materials from waste electrical and electronic equipment (WEEE) is a critical step in moving global supply chains from carbon-intensive, mined materials to recycled and renewable ones. Conventional recycling processes rely on shredding and sorting waste streams, but for WEEE, which is comprised of numerous dissimilar materials, we explore targeted disassembly of …
Not your typical summer internship Choosing impact and responsibility As I was nearing the end of my last internship in the summer of 2021, I faced the difficult question of where my next career step would take me. My work, while mildly interesting, felt divorced from real-world needs and didn’t inspire any feelings of enthusiasm …
Read more “Real Work, Real Connections: Learning and Growing as a Palantir Intern”
Amazon Lex is a service for building conversational interfaces using voice and text. Amazon Lex provides high-quality speech recognition and language understanding capabilities. With Amazon Lex, you can add sophisticated, natural language bots to new and existing applications. Amazon Lex reduces multi-platform development efforts, allowing you to easily publish your speech or text chatbots to …
Read more “Announcing Visual Conversation Builder for Amazon Lex”
As consumers expect faster, cheaper deliveries, companies are turning to AI to rethink how they move goods. Foremost among these new systems are “hub-and-spoke,” or middle-mile, operations, where companies place distribution centers closer to retail operations for quicker access to inventory. However, faster delivery is just part of the equation. These systems must also be …
Posted by Daniel Rebain, Student Researcher, and Mark Matthews, Senior Software Engineer, Google Research, Perception Team An important aspect of human vision is our ability to comprehend 3D shape from the 2D images we observe. Achieving this kind of understanding with computer vision systems has been a fundamental challenge in the field. Many successful approaches …