Interactive cyber-physical human: Generating contact-rich whole-body motions

Performing human-like motions that involve multiple contacts is challenging for robots. In this regard, a researcher has envisioned an interactive cyber-physical human (iCPH) platform with complementary humanoid (physical twin) and simulation (digital twin) elements. iCPH combines human measurement data, musculoskeletal analysis, and machine learning for data collection and augmentation. As a result, iCPH can understand, …

Building a Regression Model in PyTorch

PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this post, you will discover how to use PyTorch to develop and evaluate neural network models for regression problems. After completing this post, you will know: How to load data from scikit-learn and adapt it …

Getting stakeholder engagement right in responsible AI

GUEST: Stakeholder management is difficult. Leaders walk a tightrope: They must build trust between employees, investors, partners and impacted stakeholders who have different (sometimes competing) aims and much to lose. And, in an increasingly automated age where AI and other technologies integrate into workflows, the usual ways of winning trust m…Read More

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The Business Case for Predictive Content

Predictive content works. By leveraging AI-powered marketing tools, it allows brands to predict what customers will be interested in and deliver it to them in a crowded digital marketplace using content personalization. Marketers across a variety of sectors are leveraging predictive content to optimize each point of the purchase journey. As a result, predictive content …