ML16564 blogvideo

Search enterprise data assets using LLMs backed by knowledge graphs

Enterprises are facing challenges in accessing their data assets scattered across various sources because of increasing complexities in managing vast amount of data. Traditional search methods often fail to provide comprehensive and contextual results, particularly for unstructured data or complex queries. Search solutions in modern big data management must facilitate efficient and accurate search of …

Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody?

This paper was accepted at the Ninth Conference on Machine Translation (WMT24) at EMNLP 2024. The prosody of a spoken utterance, including features like stress, intonation and rhythm, can significantly affect the underlying semantics, and as a consequence can also affect its textual translation. Nevertheless, prosody is rarely studied within the context of speech-to-text translation …

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Ethical AI in Defense Decision Support Systems

Ethical AI in Defense Decision Support Systems (Defense AI Ethics, #2) Editors Note: In a previous post in our series on ethical defense and AI, we examined the ethical implications of technology providers in the defense domain. In this post, we delve into Palantir’s work on Decision Support Systems and how it reinforces critical military ethics …

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Unleash your Salesforce data using the Amazon Q Salesforce Online connector

Thousands of companies worldwide use Salesforce to manage their sales, marketing, customer service, and other business operations. The Salesforce cloud-based platform centralizes customer information and interactions across the organization, providing sales reps, marketers, and support agents with a unified 360-degree view of each customer. With Salesforce at the heart of their business, companies accumulate vast …

Researchers highlight Nobel-winning AI breakthroughs and call for interdisciplinary innovation

A new article examines the convergence of physics, chemistry, and AI, highlighted by recent Nobel Prizes. It traces the historical development of neural networks, emphasizing the role of interdisciplinary research in advancing AI. The authors advocate for nurturing AI-enabled polymaths to bridge the gap between theoretical advancements and practical applications, driving progress toward artificial general …