Results 161 to 170 of about 24,131 (257)
Order parameters and phase transitions of continual learning in deep neural networks. [PDF]
Shan H, Li Q, Sompolinsky H.
europepmc +1 more source
Bio-inspired, task-free continual learning through activity regularization. [PDF]
Lässig F +3 more
europepmc +1 more source
ABSTRACT Amid growing resource pressures, environmental regulation plays a critical role in enabling the transition to a circular economy (CE). This study conducts a systematic literature review to synthesize how different regulatory approaches—command‐and‐control, market‐based, voluntary, and reflexive—affect CE transitions across economic and ...
Li Yuan
wiley +1 more source
Continual learning of multiple cognitive functions with a brain-inspired temporal development mechanism. [PDF]
Han B, Zhao F, Sun Y, Pan W, Zeng Y.
europepmc +1 more source
Translating Circularity Into Strategy: A Governance Meta‐Capability Framework
ABSTRACT Firms struggle to transition to circular economy (CE) models, often citing external barriers. Yet some firms succeed, whereas others fail: Why? We argue that success depends on a specific governance capability—a meta‐capability that allows firms to (1) sense and strategically reframe CE imperatives, (2) seize opportunities by aligning diverse ...
Felix Carl Schultz +1 more
wiley +1 more source
HCLmNet: A unified hybrid continual learning strategy multimodal network for lung cancer survival prediction. [PDF]
Bappi MI, Richter DJ, Kolekar SS, Kim K.
europepmc +1 more source
ABSTRACT This paper examines how sustainable human resource management (SHRM) influences employee engagement and performance through distinct cognitive and relational mechanisms. While previous research has demonstrated positive associations between SHRM and employee outcomes, the processes through which these effects occur remain insufficiently ...
Daniel Roque Gomes +4 more
wiley +1 more source
Astrocyte-gated multi-timescale plasticity for online continual learning in deep spiking neural networks. [PDF]
Dong Z, He W.
europepmc +1 more source
Bayesian continual learning via spiking neural networks. [PDF]
Skatchkovsky N, Jang H, Simeone O.
europepmc +1 more source
ABSTRACT The role of artificial intelligence (AI) in achieving sustainability goals has garnered attention in academic literature. While AI has been argued to be crucial in addressing circularity challenges, organizations face challenges in configuring a business model.
Jian Wang +4 more
wiley +1 more source

