Browsing: ML News
The problem of a mediator learning to coordinate a group of strategic agents is considered through action recommendations without knowing their underlying utility functions, such as…
Relational databases are integral to many digital systems, providing structured data storage across various sectors, such as e-commerce, healthcare, and social media. Their table-based structure simplifies…
Large language models (LLMs) have emerged as powerful tools in artificial intelligence, demonstrating remarkable capabilities in understanding and generating text. These models utilize advanced technologies such…
The evolution of Transformer models has revolutionized natural language processing (NLP) by significantly advancing model performance and capabilities. However, this rapid development has introduced substantial challenges,…
The phenomenon of “model collapse” presents a significant challenge in AI research, particularly for large language models (LLMs). When these models are trained on data that…
The rapid advancement and widespread adoption of AI systems have brought about numerous benefits but also significant risks. AI systems can be susceptible to attacks, leading…
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing fields that have significantly impacted various industries. Autonomous agents, a specialized branch of AI, are designed…
Advances in Precision Psychiatry: Integrating AI and Machine Learning: Precision psychiatry, merging psychiatry, precision medicine, and pharmacogenomics, aims to deliver personalized treatments for psychiatric disorders. AI…
The Sparse Autoencoder (SAE) is a type of neural network designed to efficiently learn sparse representations of data. The Sparse Autoencoder (SAE) neural network efficiently learns…
In the past decade, the data-driven method utilizing deep neural networks has driven artificial intelligence success in various challenging applications across different fields. These advancements address…