What is a knowledge worker and what do they do?

Knowledge workers, typically those with advanced training and years of experience, have become a valuable asset for companies worldwide. Businesses lean on these people who “think for a living” to drive innovation, solve problems and manage personnel. Yet, empowering knowledge workers to stay productive can be a constant challenge. Too often, these skilled workers get …

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Modular visual question answering via code generation

Posted by Sanjay Subramanian, PhD student, UC Berkeley, and Arsha Nagrani, Research Scientist, Google Research, Perception Team Visual question answering (VQA) is a machine learning task that requires a model to answer a question about an image or a set of images. Conventional VQA approaches need a large amount of labeled training data consisting of …

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Formulating a more effective way to identify vehicle damage with Explainable AI

Turning images of damaged vehicles into accurate claims information is critical for insurance agencies. For that reason, KASIKORN Business-Technology Group (KBTG) Labs, a leading tech company in Thailand, is using Machine learning (ML) technology to help speed up this process, and ensure the accuracy of every claim. KBTG worked with Muang Thai Insurance PCL (MTI), …

Data science vs. machine learning: What’s the difference?

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. This post will dive deeper into the nuances of each field. What is data science? Data science is a broad, multidisciplinary field …

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Pic2Word: Mapping pictures to words for zero-shot composed image retrieval

Posted by Kuniaki Saito, Student Researcher, Google Research, Cloud AI Team, and Kihyuk Sohn, Research Scientist, Google Research Image retrieval plays a crucial role in search engines. Typically, their users rely on either image or text as a query to retrieve a desired target image. However, text-based retrieval has its limitations, as describing the target …

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Integrate SaaS platforms with Amazon SageMaker to enable ML-powered applications

Amazon SageMaker is an end-to-end machine learning (ML) platform with wide-ranging features to ingest, transform, and measure bias in data, and train, deploy, and manage models in production with best-in-class compute and services such as Amazon SageMaker Data Wrangler, Amazon SageMaker Studio, Amazon SageMaker Canvas, Amazon SageMaker Model Registry, Amazon SageMaker Feature Store, Amazon SageMaker …

Referring to Screen Texts with Voice Assistants

Voice assistants help users make phone calls, send messages, create events, navigate, and do a lot more. However, assistants have limited capacity to understand their users’ context. In this work, we aim to take a step in this direction. Our work dives into a new experience for users to refer to phone numbers, addresses, email …

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Complex Defense Missions Require Secure Collaboration

How Palantir helps Joint Forces meet complex worldwide operations U.S. Joint Forces face a complex range of worldwide operations — and don’t always do so alone. Emphasized in the 2022 National Security Strategy, “our alliances and partnerships around the world are our most important strategic asset and an indispensable element contributing to international peace and stability.” From …