Category: Machine Learning

Snoring is the vibration of respiratory structures and the resulting sound caused by the obstruction of air movement during breathing during sleep. — Image by Michael Nutt — CC BY-SA 2.0 Scientists at Mount Sinai have created an analytical tool using machine learning that can predict the risk of cardiovascular disease in millions of people […]

Tubi, the last great streaming service, has managed to piss off at least some of its fans who look forward to scrolling through the forgotten ’90s classics the platform has managed to get their hands on. This week, the company (notably owned by Rupert Murdoch’s Fox Corporation) decided to go AI-powered by launching its first […]

Today’s AI models are falling victim to a dangerous vulnerability called data poisoning. but, Data poisoning crisis It’s not just, or even mostly, hackers and adversaries. That’s self-inflicted. As companies race to implement AI across their workflows, AI-generated summaries, emails, code, and reports are quietly and rapidly flooding internal databases. Data poisoning occurs when synthetic […]

Amazon Bedrock regularly releases new Foundation Model (FM) versions with greater functionality, accuracy, and safety. Understanding the model lifecycle is essential to effectively planning and managing AI applications built on Amazon Bedrock. You can test these models through the Amazon Bedrock console or API to assess performance and compatibility before migrating your application. This post […]

Now available through Amazon Bedrock AgentCore. You can use AWS Agent Registry to discover, share, and reuse agents, tools, and agent skills across your organization. As companies scale up to hundreds or thousands of agents, platform teams face three key challenges. These are visibility (knowing which agents exist across your organization), control (managing who can […]

At a surface level, the buzz around AI sovereignty may seem at odds with an IT ecosystem built on global open source resources. Red Hat CIO Marco Bill offered a different perspective in InformationWeek’s CIO Reality Check. In a video interview, Bill elaborated on what AI sovereignty means for organizations and how it is achieved […]

The new approach closes the feedback loop between agent observability and performance, enabling continuous improvement without the need for rapid engineering. StarlightSearch, a startup building infrastructure for self-improving AI agents, today announced the launch of Reflect, a utility-ranked memory layer that ranks guidance obtained by real-world results, not just semantic similarity. Agents in production require […]

image: Overview of the proposed bias correction architecture view more Credit: Yuze Sun Everyday travel plans and early warnings for extreme weather events are all based on traditional numerical weather predictions. However, both traditional numerical weather forecasting and large-scale AI forecasting models have long suffered from systematic biases that undermine prediction accuracy. To address this […]

This article discusses the legal issues surrounding harm caused by artificial intelligence and who is responsible when neural networks malfunction in the real world. Artificial intelligence (AI) is permeating from laboratories to courtrooms, clinics, cars, and stock exchanges, with neural networks increasingly diagnosing diseases, approving loans, and performing tasks long considered the domain of humans. […]

Advances in AI, particularly Gen AI and Agentic AI, are creating significant opportunities, but they are also sharpening important questions for insurers. The question is, just because a process can be automated, should it be automated? executive summary Manuel Rodríguez Vera from Capgemini’s WNS division provides a practical approach for insurers to embed control, privacy […]