Learn how Fiedler’s contingency theory can help leaders engage their team more, leading to better performance. Plus, other ...

Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path. To overcome this brute-force ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this eMag, we try to establish agentic AI ...

Abstract: It has been recently shown that deep learning models such as convolutional neural networks (CNN), deep belief networks (DBN) and recurrent neural networks (RNN), exhibited remarkable ability ...

The tiny Hierarchical Reasoning Model mimics the brain’s structure to solve complex tasks in a single pass — no internet-scale pretraining, just smart design and strategic thinking. A new AI model ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

Several decades of research on wellbeing has resulted in a variety of conceptual models used to measure wellbeing. The historical motivations behind these conceptual models have emphasized their ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.4c01035. Implementation of ISA models; hyperparameter optimization ...

The success of deep learning is often attributed to its ability to harness the hierarchical and compositional structure of data. However, formalizing and testing this notion remained a challenge. This ...