It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
This research explores the role of AI in the process of relationship dissolution. The study involved 21 participants and aimed to understand the current role of technology in breakups, the…
Continue readingThe paper introduces a multimodal Theory of Mind (ToM) question answering benchmark, MMToM-QA, and a new method, BIP-ALM (Bayesian Inverse Planning Accelerated by Language Models), for engineering multimodal ToM capacity….
Continue readingThe paper presents an analysis of contribution functions for quantitative bipolar argumentation graphs. These functions quantify how one argument contributes to another. The analysis introduces principles that formalize the intuitions…
Continue readingThis academic article introduces DeLF (Designing Learning Environments with Foundation Models), a method for designing components of the Reinforcement Learning (RL) environment for a specific, user-intended application. The authors focus…
Continue readingThe research introduces the Continuous Time Continuous Space Homeostatic Regulated Reinforcement Learning (CTCS-HRRL) framework. This framework extends the Homeostatic Regulated Reinforcement Learning (HRRL) framework to a continuous time-space environment. The…
Continue readingThis research evaluates the reasoning ability of Large Language Models (LLMs), which have significantly impacted areas like natural language processing and software engineering. The study questions the depth of the…
Continue readingThe paper introduces a new inference approach for Knowledge Graph (KG) reasoning named Knowledge Pyramid (KP). This approach uses a novel knowledge augmentation strategy to improve the generalization capability of…
Continue readingThe study discusses the development of a unique binary linear tree commitment-based ownership protection model for distributed machine learning. This model ensures computational integrity with limited overhead and concise proof….
Continue readingThe article by MohammadNoor Injadat discusses a proposed framework for improving the detection of intrusions and attacks in Industrial IoT (IIoT) environments. The framework leverages the combined use of Bayesian…
Continue readingThe article explores the possibility of AI systems learning deceptive behavior and maintaining this behavior despite safety training techniques. This is demonstrated by training models to write secure code for…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
