Businesses often face challenges in managing and deriving value from their data. According to McKinsey, 78% of organizations now use…
Machine Learning
Imagine a system that can explore multiple approaches to complex problems, drawing on its understanding of vast amounts of data,…
This paper was accepted at the Workshop on Reliable and Responsible Foundation Models (RRFMs) Workshop at ICML 2025. Uncertainty quantification…
The success of large language models in text processing has inspired their adaptation to speech modeling. However, since speech is…
Discrete diffusion is a promising framework for modeling and generating discrete data. In this work, we present Target Concrete Score…
Large Language Models (LLMs) are increasingly used in applications requiring long context lengths, but the key-value (KV) cache often becomes…
The adoption of text-to-image diffusion models raises concerns over reliability, drawing scrutiny under the lens of various metrics like calibration,…
This post is co-written with Payal Singh from Cohere. The Cohere Embed 4 multimodal embeddings model is now generally available…
Evaluating the quality of AI responses across multiple languages presents significant challenges for organizations deploying generative AI solutions globally. How…
In this post, we demonstrate how to build an end-to-end solution for text classification using the Amazon Bedrock batch inference…
Financial fraud detection isn’t just important to banks—it’s essential. With global fraud losses surpassing $40 billion annually and sophisticated criminal…
The world’s population is expanding at a rapid rate. The growing global population requires innovative solutions to produce food, fiber,…
CMU researchers are presenting 127 papers at the Forty-Second International Conference on Machine Learning (ICML 2025), held from July 13th-19th…
Today, we’re excited to announce a significant improvement to the developer experience of Amazon Bedrock: API keys. API keys provide…
Driven by steady progress in deep generative modeling, simulation-based inference (SBI) has emerged as the workhorse for inferring the parameters…
This paper was presented at the Workshop on Reliable and Responsible Foundation Models at ICML 2025. Large Language Models (LLMs)…
Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly used for such…
Large language models (LLMs) have demonstrated impressive performance on several tasks and are increasingly deployed in real-world applications. However, especially…
We design differentially private algorithms for the problem of prediction with expert advice under dynamic regret, also known as tracking…
Organizations deploying video monitoring systems face a critical challenge: processing continuous video streams while maintaining accurate situational awareness. Traditional monitoring…