Results 191 to 200 of about 187,683 (312)
Robust Probabilistic Modeling with Bayesian Data Reweighting [PDF]
, 2016 Zhaoran Wang +2 more
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Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Multiple comparisons controversies are about context and costs, not frequentism versus Bayesianism. [PDF]
Eur J Epidemiol, 2019 Greenland S, Hofman A.
europepmc +1 more source
Minimum Description Length Induction, Bayesianism, and Kolmogorov Complexity [PDF]
, 1999 Paul Vitányi, Ming Li
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Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin +7 more
wiley +1 more source
Information Elicitation for Bayesian Auctions [PDF]
, 2017 Jing Chen, Bo Li, Yingkai Li
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Advanced Energy Materials, EarlyView.ABSTRACT Dynamic photoinduced defect states in metal halide perovskites (MHPs) critically govern the non‐equilibrium photophysics, metastability, and long‐term performance of optoelectronic devices, such as solar cells. This metastability is evident in steady‐state photoluminescence experiments, where the amplitudes increase or decrease depending on ...
Maxim Simmonds +6 more
wiley +1 more source