Results 121 to 130 of about 8,736,022 (255)
Practical Applications of Signal Processing and Machine Learning in a Dynamic Retail Environment
Presented on October 31, 2018 at 12:15 p.m. in the Marcus Nanotechnology Building, Room 1116.Graham Poliner is the SVP of Strategy and Analytics at Macy’s, Inc.
Poliner, Graham
core
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Enhancing Arabica and Robusta coffee prices forecasting through machine learning approaches. [PDF]
Suela MM, Nascimento M.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Blockwise Self-Supervised Learning at Scale
Publisher Copyright: © 2024, Transactions on Machine Learning Research. All rights reserved.Current state-of-the-art deep networks are all powered by backpropagation.
Lecun, Yann +3 more
core +1 more source
Predicting Psychological Flourishing Among Psychologists: Integrating Self-Compassion, Traditional Regression, and Machine Learning Approaches. [PDF]
Alhalawany RM +2 more
europepmc +1 more source
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu +6 more
wiley +1 more source
Artificial Intelligence in the Design and Development of Nanoparticle Drug Delivery Systems: A Systematic Review. [PDF]
Haddad R.
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim +8 more
wiley +1 more source

