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This is a guest post by Mario Namtao Shianti Larcher, Head of Computer Vision at Enel. Enel, which started as Italy’s national entity for electricity, is today a multinational company present in 32 countries and the first private network operator in the world with 74 million users. It is also recognized as the first renewables …
This blog post is part of the “All You Need to Know About Red Teaming” series by the IBM Security Randori team. The Randori platform combines attack surface management (ASM) and continuous automated red teaming (CART) to improve your security posture. “No battle plan survives contact with the enemy,” wrote military theorist, Helmuth von Moltke, …
Large language models (LLMs) can be used to analyze complex documents and provide summaries and answers to questions. The post Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data describes how to fine-tune an LLM using your own dataset. Once you have a solid LLM, you’ll want to expose that LLM to …
Time-series forecasting is one of the most important models across a variety of industries, such as retail, telecom, entertainment, manufacturing. It serves many use cases such as forecasting revenues, predicting inventory levels and many others. It’s no surprise that time series is one of the most popular models in BigQuery ML. Defining holidays is important …
Read more “How to use custom holidays for time-series forecasting in BigQuery ML”
A new $5+ million partnership aims to explore ways the development of artificial intelligence (AI) can support a thriving, innovative local news field, and ensure local news organizations shape the future of this emerging technology.
In this blog post, we explore the practical implementation of utilizing Terraform on IBM Cloud to create and manage secrets by seamlessly integrating your IBM Cloud Kubernetes Service with IBM Cloud Secrets Manager. Previously, this functionality to manage TLS and non-TLS certificates and secrets was primarily accessed through the CLI using the namespace ibmcloud ks …
Posted by Daniel McDuff, Staff Research Scientist, and Yuzhe Yang, Student Researcher, Google Learning from periodic data (signals that repeat, such as a heart beat or the daily temperature changes on Earth’s surface) is crucial for many real-world applications, from monitoring weather systems to detecting vital signs. For example, in the environmental remote sensing domain, …
Read more “SimPer: Simple self-supervised learning of periodic targets”
Amazon Lex is a service that allows you to quickly and easily build conversational bots (“chatbots”), virtual agents, and interactive voice response (IVR) systems for applications such as Amazon Connect. Artificial intelligence (AI) and machine learning (ML) have been a focus for Amazon for over 20 years, and many of the capabilities that customers use …
Read more “Enhance Amazon Lex with conversational FAQ features using LLMs”
Businesses rely on processing an inflow of documents to drive processes and make decisions. Many such documents are combined into a single file. For example, a loan application may have a driver’s license, paystub, W2, bank statement, and other document types within a single file. The complexity of handling many document types within a single …
We’ve published our joint paper with Google Research in Nature Medicine, which proposes CoDoC (Complementarity-driven Deferral-to-Clinical Workflow), an AI system that learns when to rely on predictive AI tools or defer to a clinician for the most accurate interpretation of medical images.