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 …
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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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), …
Read more “Formulating a more effective way to identify vehicle damage with Explainable AI”
GPT-3.5 Turbo, DALL·E and Whisper APIs are also generally available, and we are releasing a deprecation plan for older models of the Completions API, which will retire at the beginning of 2024.
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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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 …
Read more “Pic2Word: Mapping pictures to words for zero-shot composed image retrieval”
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 …
Read more “Integrate SaaS platforms with Amazon SageMaker to enable ML-powered applications”
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 …
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 …
Read more “Complex Defense Missions Require Secure Collaboration”
We need scientific and technical breakthroughs to steer and control AI systems much smarter than us. To solve this problem within four years, we’re starting a new team, co-led by Ilya Sutskever and Jan Leike, and dedicating 20% of the compute we’ve secured to date to this effort. We’re looking for excellent ML researchers and …