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Could all of math be reduced to a single operation? This theoretical physicist says yes, and he's found it

It’s not often a math paper goes viral, but a new preprint from a theoretical physicist at Poland’s Jagiellonian University has well and truly bucked the trend. Why? Because it seems to reduce all of ...
Hosted on MSN

Composition of trig function and inverse trig function

Description: 👉 Learn how to evaluate an expression with the composition of a function and a function inverse. Just like every other mathematical operation, when given a composition of a trigonometric ...
Frontiers

Inverse modeling and design of additively manufactured hybrid acoustic metamaterials for low-frequency absorption

Environmental noise is a growing problem with a negative impact on individuals, particularly at low frequencies. 3D printed acoustic metamaterials have emerged as possible load-bearing solutions for ...
PNAS

Multiarea processing in body patches of the primate inferotemporal cortex implements inverse graphics

Computer graphics creates abstractions of the data-generating processes in the external world, of how scenes of 3D objects form and project to images. The present study suggests that higher-level ...
C&EN

Inverse Design of Block Polymer Materials with Desired Nanoscale Structure and Macroscale Properties

Department of Chemical and Biomolecular Engineering, University of Delaware, Colburn Lab, 150 Academy Street, Newark, Delaware 19716, United States Department of Materials Science and Engineering, ...
C&EN

Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation

Global optimization tools such as Bayesian Optimization (BO) have also demonstrated their great potential in a variety of inverse design problems in materials engineering. (124) BO is an iterative ...
GitHub

MatthewJA/Inverse-Reinforcement-Learning

Implements selected inverse reinforcement learning (IRL) algorithms as part of COMP3710, supervised by Dr Mayank Daswani and Dr Marcus Hutter. My final report is available here and describes the ...
Frontiers

Integrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity

Cellular heterogeneity is a ubiquitous aspect of biology and a major obstacle to successful cancer treatment. Several techniques have emerged to quantify heterogeneity in live cells along axes ...
IEEE

An inverse methodology for high-frequency RF coil design for MRI with de-emphasized B/sub 1/ fields

Abstract: An inverse methodology for the design of biologically loaded radio-frequency (RF) coils for magnetic resonance imaging applications is described. Free space time-harmonic electromagnetic ...