Results 121 to 130 of about 44,685 (282)
Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley +1 more source
Uniform Random Expressions Lack Expressivity.
In this article, we question the relevance of uniform random models for algorithms that use expressions as inputs. Using a general framework to describe expressions, we prove that if there is a subexpression that is absorbing for a given operator, then, after repeatedly applying the induced simplification to a uniform random expression of size n, we ...
Koechlin, Florent +2 more
openaire +4 more sources
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang +9 more
wiley +1 more source
Hanfang Zhou,1 Qingyin Li,1 Zhijun Liu,2 Keman Li,1 Xiaomin Geng,3 Xiaoyi Fang1 1Institute of Developmental Psychology, Beijing Normal University, Beijing, People’s Republic of China; 2School of Education, Hunan University of Science and Technology ...
Fang X +5 more
core
A Thickness‐Invariant Origami Robot With Integrated Actuation and Multimodal Locomotion
A thickness‐invariant variation on the Yoshimura origami pattern is used as the basis of a robot, allowing power, actuation, and control systems to be embedded within the thickened panels of the pattern. The robot uses multiple kinematic branches to achieve distinct modes of locomotion, such as walking, running, galloping, and turning. ABSTRACT Origami
Davis Wing +4 more
wiley +1 more source
Artificial musical expressiveness
International audienceRecent AI-based text-to-music tools (e.g., Suno, Udio) have demonstrated impressivegenerative capacities, yielding outputs in some cases hardly discriminable from music tracksrecorded or produced by humans.
Saint-Germier, Pierre
core
Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley +1 more source
Expression and pictorial expressiveness
Com este texto pretendemos colocar em evidência o processo de individuação estética da expressividade, que decorre da afirmação da autonomia sistémica da obra de arte. O objeto que nos serve de reflexão são as formas imagéticas artísticas. Mais do que
Braga, Joaquim
core +1 more source
This work presents a 2 × 2 integrated single‐chip MEMS gas sensor array with temperature modulation and deep learning for discriminating thermal‐runaway characteristic gases. The array generates distinct temperature‐modulated response patterns for four characteristic gases (H2, CO, CH4, and CO2), while a HK‐MoE model is developed to achieve robust ...
Qin Luo +8 more
wiley +1 more source

