Results 21 to 30 of about 37,488 (257)

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

open access: yesAdvanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua   +6 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

Semantic pollution and syntactic purity

open access: yes, 2015
Logical inferentialism claims that the meaning of the logical constants should be given, not model-theoretically, but by the rules of inference of a suitable calculus.
Read, Stephen
core   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

Normativity and its vindication: The case of Logic [PDF]

open access: yes, 2004
Physical laws are irresistible. Logical rules are not. That is why logic is said to be normative. Given a system of logic we have a Norma, a standard of correctness.
Martínez Vidal, Concha   +1 more
core   +1 more source

Beyond Molecular Determinism: State‐Convergent Polymerization as a Functional Design Principle Under Chemical Complexity

open access: yesAdvanced Science, EarlyView.
This work introduces state‐convergent polymerization (SCP), a polymerization framework in which chemically diverse reaction pathways converge toward a reproducible functional polymeric state rather than a defined molecular structure. Using melanin and polydopamine as exemplars, SCP explains how robust polymer functions emerge under chemical and ...
Seonki Hong
wiley   +1 more source

The Question of Method in Philosophy

open access: yes, 2022
In this paper, we have elected to reflect on the method of doing philosophy. This reflection proceeds from a preliminary discourse on the various methods that have been deployed in doing philosophy in the past to a discourse on the lessons from Josef ...
Benedict Michael; Department of Philosophy, Benue State University, Makurdi   +1 more
core  

Abduction at the interface of Logic and Philosophy of Science [PDF]

open access: yes, 2007
Abduction is a typical theme where logic and philosophy of science meet today: occasionally, with computer science as a go-between. This is just one instance of a broader study of ‘styles of reasoning’, dating back to Bolzano and Peirce.
van Benthem, J.   +3 more
core   +1 more source

RRAM Variability Harvesting for CIM‐Integrated TRNG

open access: yesAdvanced Electronic Materials, EarlyView.
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende   +4 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
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

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