Results 131 to 140 of about 1,604 (278)
The Modal Components of Judgements in a Quantum Model of Psychoanalytic Theory. [PDF]
Entropy (Basel), 2023 Battilotti G, Borozan M, Lauro Grotto R.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
What are the limits of mathematical explanation? Interview with Charles McCarty by Piotr Urbańczyk
Zagadnienia Filozoficzne w Nauce, 2016 An interview with Charles McCarty by Piotr Urbańczyk concerning mathematical explanation.
David Charles McCarty, Piotr Urbańczyk
doaj
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Unleashing the Constructive Potential of Emotions: Some Critical Comments on Risk, Technology and Moral Emotions by Sabine Roeser. [PDF]
Sci Eng Ethics, 2020 Steinert S.
europepmc +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Advanced Intelligent Discovery, EarlyView.Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Brouwer–Hilbert on the Limits of Mathematical Knowledge
Studia Universitatis Babeș-Bolyai. PhilosophiaBrouwer famously challenged the limits of mathematical knowledge by arguing that classical formalism obscures intuitive evidence. Hilbert, by contrast, considered that intuitive insights could safely be ignored as long as formal systems remained ...
Silviu-Constantin FEDEROVICI
doaj +1 more source