AI Has Flooded All the Weather Apps
Weather forecasting has gotten a big boost from machine learning. How that translates into what users see can vary.
AI Has Flooded All the Weather Apps Read More »
Weather forecasting has gotten a big boost from machine learning. How that translates into what users see can vary.
AI Has Flooded All the Weather Apps Read More »
This post is cowritten with David Kim, and Premjit Singh from Ring. Scaling self-service support globally presents challenges beyond translation. In this post, we show you how Ring, Amazon’s home security subsidiary, built a production-ready, multi-locale Retrieval-Augmented Generation (RAG)-based support chatbot using Amazon Bedrock Knowledge Bases. By eliminating per-Region infrastructure deployments, Ring reduced the cost
How Ring scales global customer support with Amazon Bedrock Knowledge Bases Read More »
This post is cowritten by Sebastian Angersbach, Philip Trempler, and Weiran Zhang from Volkswagen Group. Volkswagen Group stands as one of the world’s largest automotive manufacturers, delivering 6.6 million vehicles in the first nine months of 2025. The Group comprises ten distinct brands from five European countries: Volkswagen, Volkswagen Commercial Vehicles, ŠKODA, SEAT, CUPRA, Audi,
Reimagine marketing at Volkswagen Group with generative AI Read More »
The effective monitoring and characterization of solar flares demands sophisticated analysis of X-ray emissions across multiple energy spectrums. Machine learning-based anomaly detection serves as a powerful tool for identifying significant patterns that could indicate notable solar activity. Through the identification of distinct radiation signatures, key solar event characteristics can be detected, analyzed, and comprehensively understood.
Build a solar flare detection system on SageMaker AI LSTM networks and ESA STIX data Read More »
Deliver hyperpersonalized viewer experiences with an agentic AI movie assistant using Amazon Nova Sonic 2.0Recommendation systems are the backbone of modern media streaming services, shaping how users discover content. Traditional machine learning (ML) systems use collaborative or content-based filtering to predict content preferences. However, they often miss context-dependent needs, such as time of the day,
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during the manufacturing process of products like steel, semiconductors, and solar cells to help improve strength, control electrical conductivity, optimize performance, and more. But even as defects have
MIT researchers use AI to uncover atomic defects in materials Read More »
Documents show the tax agency is testing a Palantir tool to surface “highest-value” audit and investigation targets from a maze of legacy systems.
The IRS Wants Smarter Audits. Palantir Could Help Decide Who Gets Flagged Read More »
A policy change announced by NeurIPS, the world’s leading AI research conference, drew widespread backlash from Chinese researchers this week and then was quickly reversed.
AI Research Is Getting Harder to Separate From Geopolitics Read More »
As the tech giant turns 50, WIRED spoke to executives about how they plan to win in the AI era.
Apple Still Plans to Sell iPhones When It Turns 100 Read More »
The AI Doc: Or How I Became an Apocaloptimist seeks the middle ground on a polarizing technology—and ends up letting tech execs like Sam Altman off the hook.
A New AI Documentary Puts CEOs in the Hot Seat—but Goes Too Easy on Them Read More »