Results 201 to 210 of about 1,404,977 (295)

Recent Advances in Phased Array Weather Radar

open access: yesIEICE Transactions on Electronics
USHIO, Tomoo, WADA, Yuuki, YOSHIDA, Syo
openaire   +2 more sources

AI Alignment Versus AI Ethical Treatment: 10 Challenges

open access: yesAnalytic Philosophy, EarlyView.
ABSTRACT A morally acceptable course of AI development should avoid two dangers: creating unaligned AI systems that pose a threat to humanity and mistreating AI systems that merit moral consideration in their own right. This paper argues these two dangers interact and that if we create AI systems that merit moral consideration, simultaneously avoiding ...
Adam Bradley, Bradford Saad
wiley   +1 more source

Unmarked Emotional States and the Affective Anchoring of Continuity

open access: yesSociological Forum, EarlyView.
ABSTRACT Narratives around emotions often foreground remarkable episodes that interrupt situations, producing a “rollercoaster” image of emotional life that leaves its stability underdescribed. To analyze the emotional dimension of social continuity, this article theorizes unmarked emotional states (UES): culturally default, interactionally unobtrusive
Lorenzo Sabetta
wiley   +1 more source

Electrified Carbon‐Neutral Methanol Production Pathways: A Multiscale Techno‐Economic‐Environmental Assessment Based on the UK Energy System

open access: yesAdvanced Chemical Engineering, Volume 1, Issue 2, December 2026.
A two‐scale framework bridges process‐level physics and system‐level decision‐making for electrified green methanol production. Replacing computationally demanding reactor simulations with an interpretable symbolic‐regression surrogate enables rapid techno‐economic and life‐cycle assessment. The framework reveals how process performance propagates into
Yuanjing Zhao   +5 more
wiley   +1 more source

Reliability‐Aware Framework for Fault‐Tolerant Multi‐Sensor Fusion Using Neuromorphic Hardware‐Native Learning

open access: yesAdvanced Computing, Volume 1, Issue 1, December 2026.
Reliability of training inputs is essential for hardware‐native neuromorphic learning, as faulty data in sensor fusion generates false triggers due to wrong conductance updates. This work presents a reliability‐aware framework ensuring only trustworthy sensor inputs participate in training, preventing false associations and improving robust decision ...
Tauseef Ejaz   +2 more
wiley   +1 more source

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