Results 251 to 260 of about 255,246 (314)

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

An open-source screening platform accelerates discovery of drug combinations. [PDF]

Nat Commun
Wright WC, Pan M, Phelps GA, Low J, Currier D, Sanjali A, Trotter M, Hwang J, Chapple RH, Liu X, Bennett D, Zhang Y, Lee RE, Chen T, Geeleher P.   +14 more
europepmc   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

The fundamentals of eye tracking part 6: Working with areas of interest. [PDF]

Behav Res Methods
Hooge ITC, Nyström M, Niehorster DC, Andersson R, Foulsham T, Nuthmann A, Hessels RS.   +6 more
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

The spatial complexity of optical computing: toward space-efficient design. [PDF]

Nat Commun
Li Y, Monticone F.
europepmc   +1 more source

Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots

Advanced Intelligent Systems, EarlyView.
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao, Jian Chen, Guangyuan Zang, Yang Li   +3 more
wiley   +1 more source

Trainable subnetworks reveal insights into structure knowledge organization in protein language models. [PDF]

PLoS Comput Biol
Vinod R, Amini AP, Crawford L, Yang KK.
europepmc   +1 more source

Affine non-negative collaborative representation based pattern classification. [PDF]

Complex Intell Systems
Yin HF, Wu XJ, Feng ZH, Kittler J, Li ZQ.   +4 more
europepmc   +1 more source

Impact of Satellite Clock Corrections and Different Precise Products on GPS and Galileo Precise Point Positioning Performance. [PDF]

Sensors (Basel)
Kiliszek D, Korolczuk K.
europepmc   +1 more source