Results 141 to 150 of about 14,764 (257)
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
This work presents a flexible, battery‐free sensor that forms a closed‐loop feedback system for smart compression therapy devices. Its scalable surface‐mount manufacturing, compact form factor, and wireless communication enable seamless integration with a wide range of active compression garments, improving user experience and therapeutic outcomes ...
Sinuo Zhao +11 more
wiley +1 more source
TEDx Brayford 2024 Fireside chat - Hidden Digital Footprints
As part of Discovery Session Three at the 2024 TEDx Brayford Pool even, TEDx speakers Jack Shelbourn & Stuart Clark, came together to discuss topics around the climate impacts of AI, big data and the film industry.
Stuart Clarke (17155609) +1 more
core
Digital Footprint and Its Impact on Improving Customer Experience: An Exploratory Study of a Sample of Internet Companies in Nineveh Governorate. [PDF]
Al-Jubory ASSA +2 more
europepmc +1 more source
Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari +6 more
wiley +1 more source
Digital Footprints in Drug Development: A Perspective from within the FDA. [PDF]
europepmc +1 more source
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson +8 more
wiley +1 more source
Theory-based promotion of diet and transportation behavior change to reduce carbon footprint among students: Randomized parallel trial of the GROW app. [PDF]
Baretta D, Rüttimann CL, Inauen J.
europepmc +1 more source

