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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 …
Google Cloud Next starts this week, and features over a dozen sessions dedicated to helping organizations innovate with machine learning (ML) and inject artificial intelligence (AI) into their workflows. Whether you’re a data scientist looking for cutting-edge ML tools, a developer aiming to more easily build AI-powered apps, or a non-technical worker who wants to …
Back in 2018, BERT got people talking about how machine learning models were learning to read and speak. Today, large language models, or LLMs, are growing up fast, showing dexterity in all sorts of applications. They’re, for one, speeding drug discovery, thanks to research from the Rostlab at Technical University of Munich, as well as …
Read more “Beyond Words: Large Language Models Expand AI’s Horizon”
Machine learning (ML) is iterative in nature — model improvement is a necessity to drive the best business outcomes. Yet, with the proliferation of model artifacts, it can be difficult to ensure that only the best models make it into production. Data science teams may get access to new training data, expand the scope of …
Read more “Streamline your models to production with the Vertex AI Model Registry”
Introduction Personalized recommender systems are used widely for offering the right products or content to the right users. Some examples of such systems are video recommendations (“What to Watch Next”) on YouTube, Google Play Store app recommendations and similar services offered by other app stores and content services. In essence, recommendation systems filter products or …
Read more “Building Large Scale Recommenders using Cloud TPUs”
The post Microsoft open sources its ‘farm of the future’ toolkit appeared first on The AI Blog.
Posted by Zalán Borsos, Research Software Engineer, and Neil Zeghidour, Research Scientist, Google Research Generating realistic audio requires modeling information represented at different scales. For example, just as music builds complex musical phrases from individual notes, speech combines temporally local structures, such as phonemes or syllables, into words and sentences. Creating well-structured and coherent audio …
Read more “AudioLM: a Language Modeling Approach to Audio Generation”
Synamedia is a leading video technology provider addressing the needs for premium video service providers and direct-to-consumer (D2C) with a comprehensive solution portfolio. Synamedia solutions spread across several pillars such as video networks, TV platforms, advertisement and monetization, and content protection and piracy disruption. Synamedia partnered with AWS to use artificial intelligence (AI) to develop …