Results 71 to 80 of about 8,510 (275)

Seeing Like a Tesla: How Can We Anticipate Self-Driving Worlds?

open access: yesGlocalism: Journal of Culture, Politics and Innovation, 2018
In the last five years, investment and innovation in self-driving cars has accelerated dramatically. Automotive autonomy, once seen as impossible, is now sold as inevitable.
Jack Stilgoe
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

The almost impossible worlds in quantum information and their influence on reality [PDF]

open access: yes, 2015
A state or world with converging to zero, but nonzero probability, can be designated as an almost impossible one unlike those with exactly zero probability, which are quite impossible Thus a coherent superposition of those almost impossible states or an ...
Васил Пенчев (97891)
core   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

open access: yesAdvanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati   +11 more
wiley   +1 more source

Who's Afraid of Impossible Worlds?

open access: yesNotre Dame Journal of Formal Logic, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare   +5 more
wiley   +1 more source

The Many-Worlds Interpretation of Quantum Mechanics: Psychological versus Physical Bases for the Multiplicity of "Worlds" [PDF]

open access: yes, 1990
This unpublished 1990 preprint argues that a crucial distinction in discussions of the many-worlds interpretation of quantum mechanics (MWI) is that between versions of the interpretation positing a physical multiplicity of worlds, and those in which the
Barnum, Howard
core  

Worlds That Shouldn’t Exist: Theoretical Perspectives on Impossible Worlds [PDF]

open access: yes
This paper investigates whether impossible worlds provide a more effective framework than possible worlds for representing phenomena often grouped under ‘impossibility’—from paradoxes and fictional entities to countermetaphysical scenarios.
Sinha, Sania
core   +3 more sources

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

AN ALGORITHMIC IMPOSSIBLE-WORLDS MODEL OF BELIEF AND KNOWLEDGE

open access: yesThe Review of Symbolic Logic, 2023
AbstractIn this paper, I develop an algorithmic impossible-worlds model of belief and knowledge that provides a middle ground between models that entail that everyone is logically omniscient and those that are compatible with even the most egregious kinds of logical incompetence.
openaire   +1 more source

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