This is the first column in a fortnightly series on natural resources and governance.   The column will be overseen by Janette Bulkan, an ...

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model's (LLM) reasoning and even intervene to fix its ...

Abstract: Six-degree-of-freedom (6-DOF) pose estimation from feature correspondences remains a popular and robust approach for 3-D registration. However, heavy outliers that existed in the initial ...

Once you’ve got the basics of car camping down, it’s time to look at upgrading your setup: camp kitchen, camping hammocks, and camping cots. While most campers settle for sleeping on the ground while ...

Despite their many successes, transformer-based large language models (LLMs) continue to struggle with tasks that require complex reasoning over large parts of their input. We argue that these ...

Understanding the physical world—governed by laws of motion, spatial relations, and causality—poses a fundamental challenge for multimodal large language models (MLLMs). While recent advances such as ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Reasoning through chain-of-thought (CoT) — ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I showcase a vital new prompting technique ...

Table 1. Comparisons among different graph analysis benchmarks for LLMs. Graphs are widely used data structures in the real world (e.g., social networks and recommendation systems). Enabling Large ...