Development of an ionic device capable of brain-like information processing

A Tokyo University of Science research team has developed an AI device with high information processing performance. This was achieved by recreating the so-called “edge-of-chaos” state occurring in the brain using ion–electron-coupled dynamics at the solid electrolyte/diamond interface. This technology may be used to develop energy-efficient edge AI devices with a wide range of applications, …

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Forecasting Potential Misuses of Language Models for Disinformation Campaigns—and How to Reduce Risk

OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate how large language models might be misused for disinformation purposes. The collaboration included an October 2021 workshop bringing together 30 disinformation researchers, machine learning experts, and policy analysts, and culminated in a co-authored report building on …

How to unlock a scientific approach to change management with powerful data insights

Without a doubt, there is exponential growth in the access to and volume of process data we all, as individuals, have at our fingertips. Coupled with a current climate that is proving to be increasingly ambiguous and complex, there is a huge opportunity to leverage data insights to drive a more robust, evidence-based methodology to …

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Enriching real-time news streams with the Refinitiv Data Library, AWS services, and Amazon SageMaker

This post is co-authored by Marios Skevofylakas, Jason Ramchandani and Haykaz Aramyan from Refinitiv, An LSEG Business. Financial service providers often need to identify relevant news, analyze it, extract insights, and take actions in real time, like trading specific instruments (such as commodities, shares, funds) based on additional information or context of the news item. …

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Reading and storing data for custom model training on Vertex AI

Before you can train ML models in the cloud, you need to get your data to the cloud.  But when it comes to storing data on Google Cloud there are a lot of different options. Not to mention the different ways you can read in data when designing input pipelines for custom models. Should you …