The capabilities of large AI systems are constantly improving, but they consume a great deal of energy during training and operation. The human brain, by contrast, is extremely energy-efficient: It requires only around 20 watts.
Memory & State For AI Agents Building an AI agent can be tricky. Keeping it on track over a six-month deployment is incredibly hard. LLMs…
Overview of ABBEL compared to traditional recursive summarization. Beliefs replace the full interaction history as the agent’s working context, and belief grading improves performance by supervising the contents of each belief state.. As task horizons grow, LLM contexts can’t scale forever. Self-summarization enables concise, interpretable contexts, but at a significant performance cost, especially for human …
Read more “Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction”
Systematic failures of vision models on semantically coherent subsets, known as error slices, reveal limitations in robustness and evaluation. Existing slice discovery approaches largely model slices as clusters in representation space or combinations of predefined attributes. While effective for image-level classification, such formulations are insufficient for instance-level tasks such as object detection and segmentation, where …
Read more “GH-ESD: Grounded Hypothesis-Driven Error Slice Discovery for Instance-Level Vision Tasks”
Use of third party AI model services poses significant risk to your alpha. Without sovereign control over how your data is processed by those services (either the AI Labs or the Hyperscalers, collectively referred to as “Hosted Model Providers”), Hosted Model Providers may extract your alpha (your unique institutional knowledge and tradecraft embodied in data …
If you’re using Retrieval-Augmented Generation (RAG) for complex analytical tasks that span hundreds of documents, such as financial due diligence or regulatory compliance reviews, you’ve likely hit its ceiling. Similarity search surfaces relevant fragments but often misses cross-document connections. This post shows you how to address that gap using task-aware knowledge compression (TAKC), a technique …
Read more “Beyond RAG: Task-aware knowledge compression for enterprise AI on AWS”
Extreme fire conditions on the ground have created unprecedented conditions in the atmosphere.
A new study led by Fabrice Niyigaba ’27 reports the first digital tool for identifying online propaganda in Kinyarwanda, the national language of Rwanda’s 15 million people—and possibly the first for any of the Bantu languages spoken by 350 million Africans.
Our top-pick sleeping pads from Nemo, Therm-a-Rest, and Gossamer Gear use high-tech materials to engineer the best sleep you can get outdoors.
Friendly hobby machine or serious production tool? Here’s how to know which one is for you.