THE LOGIC OF TRUTH IN THE SPHERE OF MEDIA AND MEDIA TECHNOLOGY
openaire +2 more sources
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Through the Lens of the Media: Media Logic, Fear, AI [PDF]
Merkovity Norbert, Altheide David L.
openaire +2 more sources
Assessing the Impact of a Reduced Chemical Exposure Claim in Advertisements for FDA-authorized E-cigarette Products among Youth and Young Adults. [PDF]
Chen-Sankey J +6 more
europepmc +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Enzyme-driven triplex structure-based DNA logic circuits. [PDF]
Liu X +14 more
europepmc +1 more source
Aging and Electrical Stability of DNTT Honey‐Gated OFETs
DNTT honey‐gated organic transistors were fabricated and evaluated to assess short‐ and long‐term stability under electrical stress and aging. Short‐term transfer measurements (five days, 40 sweeps/day) showed minimal parameter shift, while extended measurements revealed gradual degradation over weeks.
Douglas H. Vieira +8 more
wiley +1 more source
Granularity paradox: how emotion taxonomies shape GPT-5's affective cognition and human-AI alignment. [PDF]
Zhang F, Chen J.
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
A protocol for chemical competence in phytopathogenic Ralstonia. [PDF]
Cowell TC +4 more
europepmc +1 more source

