Generative AI for Insurance: How Insurers Are Using It

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Generative AI burst into the mainstream in late 2022. Almost every market is now exploring how this technology will be applied in their sector—including property and casualty insurance. Though mainstream attention has largely focused on the text- and image-generating capabilities of Generative AI, this evolving technology can also improve business processes. To be successful, insurance …

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Robustness in Multimodal Learning under Train-Test Modality Mismatch

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Multimodal learning is defined as learning over multiple heterogeneous input modalities such as video, audio, and text. In this work, we are concerned with understanding how models behave as the type of modalities differ between training and deployment, a situation that naturally arises in many applications of multimodal learning to hardware platforms. We present a …

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Accelerating AI & Innovation: the future of banking depends on core modernization

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In the rapidly evolving landscape of financial services, embracing AI and digital innovation at scale has become imperative for banks to stay competitive. With the power of AI and machine learning, financial institutions can leverage predictive analytics, anomaly detection and shared learning models to enhance system stability, detect fraud and drive superior customer-centric experiences. As …

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AVFormer

AVFormer: Injecting vision into frozen speech models for zero-shot AV-ASR

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Posted by Arsha Nagrani and Paul Hongsuck Seo, Research Scientists, Google Research Automatic speech recognition (ASR) is a well-established technology that is widely adopted for various applications such as conference calls, streamed video transcription and voice commands. While the challenges for this technology are centered around noisy audio inputs, the visual stream in multimodal videos …

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New method improves efficiency of ‘vision transformer’ AI systems

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Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images — however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT’s ability to identify, classify and segment objects …

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Last Chance! 48-Hour Flash Sale on AI & Chatbot Certified Workshops

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I hope this email finds you well. I wanted to reach out with an exciting update: we are having a 48-Hour Flash Sale on our highly anticipated AI & Chatbot Certified Workshops, and I didn’t want you to miss out on this amazing opportunity! For the next 48 hours only, you can take advantage of …

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Learning Language-Specific Layers for Multilingual Machine Translation

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Multilingual Machine Translation promises to improve translation quality between non-English languages. This is advantageous for several reasons, namely lower latency (no need to translate twice), and reduced error cascades (e.g. , avoiding losing gender and formality information when translating through English). On the downside, adding more languages reduces model capacity per language, which is usually …

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