Large language models (LLMs) have transformed how we process and generate information, but they still struggle with effectively integrating knowledge across multiple sources. Standard Retrieval Augmented Generation (RAG) methods, although helpful, often fall short when tackling multi-hop reasoning tasks that require connecting information from separate documents. To address these limitations, we explore HippoRAG, a novel

Article Open access Published: 01 July 2026 Michał Kopczyński1 & Michał Czubenko1  Scientific Reports (2026) Cite this article We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and

Artificial Intelligence It’s our goal for AWS to be the most secure place to run any workload, and in support of that we’ve been deeply investing in security across our services since AWS’s inception more than two decades ago.  Our AI services like Amazon Bedrock are built on this foundation and with the same focus. Bedrock provides

When I started my PhD at UC Berkeley 16 years ago, my advisor told me: "OLTP databases are a solved problem. They work. Focus on analytics." We were at the early innings of being able to collect far more data, structured and unstructured, and apply machine learning (which we now call “AI”). So I took

image:  Overview of the BehaVERT pipeline.
This figure shows how BehaVERT analyzes animal behavior from video. First, skeletal keypoints and behaviors are labeled using a web-based tool. The skeletal coordinates from each video frame are then converted into 768-dimensional “tokens” and entered into a BERT-based transformer model. The model can classify both the behavior in each

Illustration: Midjourney Emilio Ferrara has spent nearly two decades thinking about a deceptively simple question: in a network of millions of people or cells or proteins, how do you find the clusters? The problem, known as community detection, sounds intuitive. Draw a map of friendships, and clusters naturally emerge: tight knots of people who know

Many AI systems are now described as privacy-preserving because they avoid showing faces, use skeletons instead of images, blur video, reduce resolution or transform sensor data. These choices may reduce some obvious privacy risks, but they do not prove that the data is private. Human behaviour itself can be identifying. Gait, posture, timing, movement dynamics

Dr Arindam Roy's Lapworth Lecture "From Molecules to Models: Integrating Experimental Taphonomy and AI to Resurrect Ancient Life". How do we know what an extinct animal looked like, how it behaved, or how it relates to the creatures alive today? The fossil record is far richer than bones alone. Exceptionally preserved fossils can retain traces