Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving intellectual tasks. These models are not replicas of human intelligence. Their ...

According to a new study by researchers Francisco W. Kerche, Matthew Zook, and Mark Graham, Large Language Models (LLMs) ...

Abstract: Interactive recommender systems have garnered widespread attention due to their ability to dynamically update recommendation strategies based on user feedback, enhancing the user's ...

Learn how the Anthropic Claude hack shows that LLMs are easy to manipulate and what opportunities this offers.

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...

Abstract: The problem of multiagent encirclement with multiobstacle collision avoidance (EMOCA) has been challenging since it is difficult to balance the tradeoff between surrounding a mobile target ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to understand how it works and the math behind its movements. It ...

Advancements in Simulation Methodologies Simulation is getting a serious upgrade, and it’s not just about faster computers ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...