AI in recruitment

Building an efficient and effective recruitment process is especially relevant in tight or competitive job markets. According to the U.S. Chamber of Commerce, there were more than 10 million job openings in the spring of 2023, but only 5.7 million unemployed workers in the U.S. That puts workers at an advantage, allowing them to negotiate …

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Democratize computer vision defect detection for manufacturing quality using no-code machine learning with Amazon SageMaker Canvas

Cost of poor quality is top of mind for manufacturers. Quality defects increase scrap and rework costs, decrease throughput, and can impact customers and company reputation. Quality inspection on the production line is crucial for maintaining quality standards. In many cases, human visual inspection is used to assess the quality and detect defects, which can …

What is asset reliability?

When a critical asset like an expensive piece of machinery or infrastructure breaks unexpectedly, it affects customers and can cost companies millions. To be successful, businesses need to have clear, real-time visibility into the condition of their assets and a plan to keep them running smoothly and make repairs quickly when things break. Enterprises are …

Unlearning

Announcing the first Machine Unlearning Challenge

Posted by Fabian Pedregosa and Eleni Triantafillou, Research Scientists, Google Deep learning has recently driven tremendous progress in a wide array of applications, ranging from realistic image generation and impressive retrieval systems to language models that can hold human-like conversations. While this progress is very exciting, the widespread use of deep neural network models requires …

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Recommend and dynamically filter items based on user context in Amazon Personalize

Organizations are continuously investing time and effort in developing intelligent recommendation solutions to serve customized and relevant content to their users. The goals can be many: transform the user experience, generate meaningful interaction, and drive content consumption. Some of these solutions use common machine learning (ML) models built on historical interaction patterns, user demographic attributes, …

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Of barks and bots: Woof revolutionizes pet care with AI chatbot powered by Google Cloud

As pet owners, we all want to make sure our pets are happy and healthy. But with so many different products and services competing for our attention, it can be overwhelming to decide which ones are best. That’s whereWoof comes in. We are on a mission to revolutionize the pet industry by providing the best …

5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair

*=Equal Contributors Providing voice assistants the ability to navigate multi-turn conversations is a challenging problem. Handling multi-turn interactions requires the system to understand various conversational use-cases, such as steering, intent carryover, disfluencies, entity carryover, and repair. The complexity of this problem is compounded by the fact that these use-cases mix with each other, often appearing …

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Capture public health insights more quickly with no-code machine learning using Amazon SageMaker Canvas

Public health organizations have a wealth of data about different types of diseases, health trends, and risk factors. Their staff has long used statistical models and regression analyses to make important decisions such as targeting populations with the highest risk factors for a disease with therapeutics, or forecasting the progression of concerning outbreaks. When public …