Summary: New research shows that people tend to prefer simple explanations even when complex ones are more accurate. The study found that individuals focus mainly on visible or known causes while ...
Abstract: This study investigates the use of natural language processing language representation models as an early warning system for economic crises, and compares the performance of time series ...
Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...
Nelis, accessibility specialists and co-authors of Accessible Communications, explore how large language models have inadvertently become teachers of better writing.
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
Abstract: One of the primary challenges in motor imagery (MI) based brain-computer interfaces (BCIs) is the extensive calibration time required for individual users. This paper systematically reviews ...
Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. It is ...
Agentic AI isn’t just another automation tool, it’s a new way of automating. Its true potential lies in reimagining work at ...
The Competition Commission of India (CCI) has warned that artificial intelligence (AI) pricing systems can create new kinds of collusion, even without human intent or communication. In its Market ...
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