Estimating dimensional emotions, such as activation, valence and dominance, from acoustic speech signals has been widely explored over the past few years. While accurate estimation of activation and dominance from speech seem to be possible, the same for valence remains challenging. Previous research has shown that the use of lexical information can improve valence estimation …
Pre-trained word embeddings, such as GloVe, have shown undesirable gender, racial, and religious biases. To address this problem, we propose DD-GloVe, a train-time debiasing algorithm to learn word embeddings by leveraging dictionary definitions. We introduce dictionary-guided loss functions that encourage word embeddings to be similar to their relatively neutral dictionary definition representations. Existing debiasing algorithms …
Read more “Learning Bias-reduced Word Embeddings Using Dictionary Definitions”
The matching principles behind optimal transport (OT) play an increasingly important role in machine learning, a trend which can be observed when OT is used to disambiguate datasets in applications (e.g. single-cell genomics) or used to improve more complex methods (e.g. balanced attention in transformers or self-supervised learning). To scale to more challenging problems, there …
Read more “Low-Rank Optimal Transport: Approximation, Statistics and Debiasing”
Sanctions, restrictions, and geopolitical conflicts can have serious consequences for organizations with complex and globalized supply chains. Organizations with multi-tiered, globalized supply chains have to contend with increasingly complicated operating environments. For example, Russia’s invasion of Ukraine has stemmed the flow of oil, natural gas and grain, and prompted a host of economic sanctions and export …
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Enterprises often deal with large volumes of IT service requests. Traditionally, the burden is put on the requester to choose the correct category for every issue. A manual error or misclassification of a ticket usually means a delay in resolving the IT service request. This can result in reduced productivity, a decrease in customer satisfaction, …
Closed and exclusive ecosystems are a barrier to innovation in artificial intelligence (AI) and machine learning (ML), imposing incompatibilities across technologies and obscuring how to quickly and easily refine ML models. At Google, we believe open-source software (OSS) is essential to overcoming the challenges associated with inflexible strategies. And as the leading Cloud Native Computing …
Read more “Open source collaborations and key partnerships to help accelerate AI innovation”
Data is the most valuable asset in any digital transformation. Yet limits on data are still too common, and prevent organizations from taking important steps forward — like launching a new digital business, understanding changes in consumer behavior, or even utilizing data to combat public health crises. Data complexity is at an all time high …
When it comes to the adoption of artificial intelligence (AI), we have reached a tipping point. Technologies that were once accessible to only a few are now broadly available. This has led to an explosion in AI investment. However, according to research firm McKinsey, for AI to make a sizable contribution to a company’s bottom …
Financial technology, or fintech, is transforming how companies, consumers and money interact. Dive into the latest AI-powered innovations in financial services at Money20/20, a global fintech conference running Oct. 23-26 at the Venetian Resort in Las Vegas. Fintech interactions are becoming more personalized with AI-based recommendation engines; self-service is enhanced via conversational AI; and transactions …
Read more “NVIDIA Unlocks the Potential of AI-Powered Banking at Money20/20”
In this post, we present a solution that combines rich mobile device intelligence with customized machine learning (ML) modeling to help you catch fraudsters who exploit mobile apps. GrabDefence (GD), Grab’s proprietary fraud detection and prevention technology, and AWS have launched GDxAFD, a fraud detection solution tailored for mobile apps that integrates GD’s device intelligence …