Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...
Why 90% of enterprise AI projects fail to scale, and how Turinton is compressing adoption cycles by aligning AI with business ...
The eligible studies included technology-based research involving wearable devices, sensors, or mobile phones focused on explainability, machine learning, or deep learning and that used quantified ...
Unlike traditional applications, agentic systems must monitor themselves in production, adapt to dynamic data and user ...
Abstract: Humans use causality and hypothetical retrospection in their daily decision-making, planning, and understanding of life events.1 The human mind, while retrospecting a given situation, think ...
We’ll soon turn our calendars to 2026, looking back at the global technology landscape that underwent a profound structural ...
Machine learning has become a common and powerful tool in materials research. As more data becomes available, with the use of high-performance computing and high-throughput experimentation, machine ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback