Abstract: A computationally oriented transform technique for the analysis of time-varying linear systems involving both discrete-time (i.e., sampled-data) variables and continuous-time variables is ...

In the AI era, most linear playbooks don’t work. Conventional change programs fail at stubbornly high rates because they ...

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large models from a simplified perspective. It breaks down complex concepts from the ...

Just as cloud computing became the backbone of digital transformation, orchestrators will underpin AI-driven transformation.

Gopal Iyer receives a 2025 Global Recognition Award for developing advanced workforce analytics frameworks that have ...

A circular economy involves maintaining manufactured products in circulation, distributing resource and environmental costs over time and with repeated use. In a linear supply chain, manufactured ...

Abstract: Nonlinear functions (NFs) in Transformers require high-precision computation consuming significant time and energy, despite the aggressive quantization schemes for other components.

Philip Morris International Sustainability explores PMI's shift from cigarettes to smoke-free alternatives, delivering ...

Mayra Villalobos earned a 2025 Global Recognition Award for transforming human resources into a strategic growth engine at ...

The seemingly unpredictable, and thereby uncontrollable, dynamics of living organisms have perplexed and fascinated ...

In this latest Conversations interview, Sarah Taitt, Chief Property & Services Officer at Wickes, talks about her career ...