AlphaQubit tackles one of quantum computing’s biggest challenges
Our new AI system accurately identifies errors inside quantum computers, helping to make this new technology more reliable.
Instance-Optimal Private Density Estimation in the Wasserstein Distance
Estimating the density of a distribution from samples is a fundamental problem in statistics. In many practical settings, the Wasserstein distance is an appropriate error metric for density estimation. For example, when estimating population densities in a geographic region, a small Wasserstein distance means that the estimate is able to capture roughly where the population …
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Swiss Re & Palantir: Scaling Data Operations with Foundry
Swiss Re & Palantir Scaling Data Operations with Foundry Editor’s note: This guest post is authored by our customer, Swiss Re. Authors Lukasz Lewandowski, Marco Lotz, and Jarek Sobanski lead the core technical team responsible for the implementation of Palantir Foundry at the Swiss reinsurer. They have been managing overall platform operations, core architectural principles, site reliability, …
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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker
As generative AI models advance in creating multimedia content, the difference between good and great output often lies in the details that only human feedback can capture. Audio and video segmentation provides a structured way to gather this detailed feedback, allowing models to learn through reinforcement learning from human feedback (RLHF) and supervised fine-tuning (SFT). …
Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors
Large language models (LLMs) give developers immense power and scalability, but managing resource consumption is key to delivering a smooth user experience. LLMs demand significant computational resources, which means it’s essential to anticipate and handle potential resource exhaustion. If not, you might encounter 429 “resource exhaustion” errors, which can disrupt how users interact with your …
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Microsoft’s AI agents: 4 insights that could reshape the enterprise landscape
We dive into the most significant takeaways from Microsoft Ignite, and Microsoft’s emerging leadership in the area of AI agents.Read More
Synchronized movement between robots and humans builds trust, study finds
Trust between humans and robots is improved when the movement between both is harmonized, researchers have discovered.
Newly developed robot can play the drums, listen and learn
It seems simple: The robot ZRob, a small machine easily placed on a table, holds a drumstick and beats a drum. In reality, it is anything but simple. ZRob’s arm has a flexible grip, just like the human wrist. It also has an artificial intelligence (AI) that helps it optimize its movements.
The 2025 Guide to Using AI for Retail Marketing Strategy
Learn how AI can boost efficiency on your retail marketing efforts in 2025 and beyond.
A Practical Guide to Building Recommender Systems
Recommender systems enhance user experiences in Internet-based applications by recommending items tailored to individual preferences or needs, such as products, services, or content.