Results 71 to 80 of about 44,478 (232)
A key goal in the study of decision making is determining how neural networks involved in perception and motor planning interact to generate a given choice, but this is complicated due to the internal trade-off between speed and accuracy, which confounds
Emilio eSalinas +4 more
doaj +1 more source
Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen +11 more
wiley +1 more source
On the Importance of the Speed-Ability Trade-Off When Dealing With Not Reached Items
In many applications of high- and low-stakes ability tests, a non-negligible amount of respondents may fail to reach the end of the test within the specified time limit. Since for respondents that ran out of time some item responses will be missing, this
Jesper Tijmstra, Maria Bolsinova
doaj +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Enhancing SART Validity by Statistically Controlling Speed-Accuracy Trade-Offs
Numerous studies focused on elucidating the correlates, causes, and consequences of inattention/attention lapses employ the Sustained Attention to Response Task (SART), a GO-NOGO task with infrequent withholds.
Paul eSeli +3 more
doaj +1 more source
This work introduces a swelling‐induced, stress‐assisted water‐soluble PVA tape strategy to transfer‐print nanodiamond quantum‐sensor arrays onto soft, curved biological interfaces. The room‐temperature, water‐triggered process achieves >98% fidelity and residue‐free integration, enabling conformal quantum sensing on contact lenses, neural probes, and ...
Luyao Zhang +9 more
wiley +1 more source
Pause before action: Waiting short time as a simple and resource-rational boost
Many workers today engage in straightforward judgment tasks, increasing the need for interventions to improve accuracy. We propose a resource-rational and psychohygienic intervention, “wait short time”, which introduces a brief pause before displaying ...
Masaru Shirasuna +2 more
doaj +1 more source
A quantum dot–tellurium thin‐film photodetector autonomously discriminates visible and infrared wavelengths through polarity‐reversible photoresponses. Engineered carrier separation and gain modulation enable filter‐free multispectral sensing within a single‐device architecture.
Yong Min Lee +7 more
wiley +1 more source
3D Printing Innovations in Polymeric Porous and Patterned Architecture
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil +13 more
wiley +1 more source

