AI

This post is co-written with Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis Barbier, Kristen Chenowith, and Michelle Stahl from Verisk. Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across more than 20 countries, Verisk helps build resilience for individuals, […]

WIRED’s advice columnist considers whether some AI tools are more ethical than others, and if developers can make AI wiser.

Breeze Liu has been a prominent advocate for victims. But even she struggled to scrub nonconsensual intimate images and videos of herself from the web.

One developer responds to the release of Muse: “We are implicitly empowering a class of people who own these tools and don’t give a fuck about how they reshape our lives.”

The Famine Early Warning Systems Network is one of USAID’s most data-driven programs, but its work has been stalled by the Trump Administration.

Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. FMs are probabilistic in nature and produce a range of outcomes. Though these models

At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%. Administrators can use SageMaker HyperPod task governance to govern allocation of accelerated compute

WIRED tests the benefits and limitations of using generative AI, specifically ChatGPT’s Advanced Voice Mode, as a language tutor for travelers.

Meta’s Waterworth Project will provide internet connectivity on five continents, with landing points in India, the United States, Brazil, and South Africa.

While early language models could only process text, contemporary large language models now perform highly diverse tasks on different types of data. For instance, LLMs can understand many languages, generate computer code, solve math problems, or answer questions about images and audio.    MIT researchers probed the inner workings of LLMs to better understand how they