Results 141 to 150 of about 5,721,941 (348)
Merge or Not? Learning to Group Faces via Imitation Learning
, 2017 Given a large number of unlabeled face images, face grouping aims at clustering the images into individual identities present in the data. This task remains a challenging problem despite the remarkable capability of deep learning approaches in learning ...
Cao, Kaidi +3 more
core +1 more source
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
Advanced Functional Materials, EarlyView.This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
Imitation Game: A Model-Based and Imitation Learning Deep Reinforcement Learning Hybrid
2024 12th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)Autonomous and learning systems based on Deep Reinforcement Learning have firmly established themselves as a foundation for approaches to creating resilient and efficient Cyber-Physical Energy Systems. However, most current approaches suffer from two distinct problems: Modern model-free algorithms such as Soft Actor Critic need a high number of samples
Veith, Eric MSP +4 more
openaire +2 more sources
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
Advanced Functional Materials, EarlyView.To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Technological Progress under Learning by Imitation [PDF]
We analyse technological progress when knowledge has a large tacit component so that transmission of knowledge takes place through direct personal imitation.
Morgan Kelly
core
Advanced Functional Materials, EarlyView.Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim +14 more
wiley +1 more source
Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings. [PDF]
Sensors (Basel), 2023 Sumanasena V +7 more
europepmc +1 more source
Developer's Expertise and the Dynamics of Financial Innovation: Theory and Evidence [PDF]
We study product innovation and imitation in the market of corporate underwriting with a dynamic model where client switching costs and the bankers' expertise in deal structuring characterize the life cycle of a security.
Enrique Schroth, Helios Herrera
core
Urban Driving with Conditional Imitation Learning [PDF]
, 2020 Jeffrey Hawke +10 more
openalex +1 more source
Crack‐Growing Interlayer Design for Deep Crack Propagation and Ultrahigh Sensitivity Strain Sensing
Advanced Functional Materials, EarlyView.A crack‐growing semi‐cured polyimide interlayer enabling deep cracks for ultrahigh sensitivity in low‐strain regimes is presented. The sensor achieves a gauge factor of 100 000 at 2% strain and detects subtle deformations such as nasal breathing, highlighting potential for minimally obstructive biomedical and micromechanical sensing applications ...
Minho Kim +11 more
wiley +1 more source