Can AI eliminate manual processing for insurance claims? Loadsure built a solution to find
Traditionally, insurance claims processing has been a labor-intensive and time-consuming process, often involving manual verification of documents and data entry. This can lead to delays in claim settlements and a frustrating experience for policyholders. Loadsure, a global Insurtech firm based in London, recognized the need to address these challenges and sought a solution that would …
xAI woos developers with $25/month worth of API credits, support for OpenAI, Anthropic SDKs
It doesn’t sound like much coming from the world’s wealthiest man and multi-billionaire, and it’s not really on a per user basis.Read More
16 Best Cozy Games (2024), Tested and Reviewed
Forget stressful leaderboards and time-sensitive missions. These games let you play at your own pace.
Alternative model can identify fake news by processing both textual and visual data
The advent of the internet has changed the way people access and share information, making it easier for malicious individuals to spread biased, unreliable or false news. Recent technological advances, including artificial intelligence (AI) models that can generate realistic texts, audio recordings and images, are further contributing to this wave of misinformation.
Enter the ‘Whisperverse’: How AI voice agents will guide us through our days
Within the next few years, an AI-powered voice will burrow into your ears and take up residence inside your head.Read More
Why multi-agent AI tackles complexities LLMs can’t
While AGI and fully autonomous systems are still on the horizon, multi-agents will bridge the current gap between LLMs and AGI.Read More
How a PhD Student Discovered a Lost Mayan City From Hundreds of Miles Away
WIRED spoke with the researchers responsible for the discovery of Valeriana, a lost Maya city in the middle of the jungle of Campeche.
Industries in Focus: Machine Learning in Finance
In recent years, the finance industry has been experiencing significant changes, with artificial intelligence and machine learning (ML) playing an increasingly important role.
On Device Llama 3.1 with Core ML
Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs). Running these models locally on Apple silicon enables developers to leverage the capabilities of the user’s device for cost-effective inference, without sending data to and from third party servers, which also helps protect user privacy. In order …