🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Quick Reminder: Please join us on Thursday, February 21, at 11 a.m. (CST, UTC-6) for a webinar on Simulation Meta-Modeling with Bayesian Networks and BayesiaLab. Register here: bayesia.com/2019-02-21-sim… #bayesiannetworks #bayesialab

Keith Schembri's lawyer invited on prime-time TV to explain the ins and outs of a presidential pardon during a news bulletin on the national broadcaster tvm.com.mt/mt/news/bla-ma…

Cool initiative Priji Balakrishnan! #daylightmapping

A Physics-based Domain Adaptation framework for modelling and forecasting building energy systems. (arXiv:2208.09456v1 [cs.LG]) ift.tt/iNqa2JT

Call for Papers: Representing Populations of #Engineering Systems Special issue promoting data-centric models and methods for engineering. Read more: bit.ly/3IeCUlB Deadline: Sep 29, 2023 #OpenAccess #DataScience #DigitalTwins Lawrence Bull Zack Xuereb Conti Dom Di Francesco

Coediting a special issue via Data-Centric Engineering Representing Populations of Engineered Systems 🕸️ bit.ly/3IeCUlB All about collecting/modelling population data - the whole is greater than the parts! Coeditors Zack Xuereb Conti, Dom Di Francesco, Nikos Dervilis, K. Worden, A. Duncan

⏰1 Month To Go! Does your research involve coupling #physics and #machinelearning to solve applications in solid #mechanics? If so, consider submitting to this DCE special collection organised by Editors Alice Cicirello @ DVU group Zack Xuereb Conti. CFP: bit.ly/3VLNap4

Generalising #ML models for building energy forecasting relies on representation of the governing dynamics in the data. This paper introduces a transfer learning approach that exploits the geometry of Physics-based #StateSpaceModels in a subspace-based domain adaptation framework

📣 2nd workshop on Physics Enhancing Machine Learning in Applied Mechanics, 20 November 2023, London Claire Garland 🎯 Free registration, hybrid event info: iop.eventsair.com/asm2023 🙏 reshare #phiML #scientificmachinelearning #physicsinformedMachineLearning #explainableML

💡 Turing Research Fellowship: Bridging talent across sectors in #DataScience & #AI This programme connects academia w/ industry, government & third sector. Creating placements for exceptional researchers to work on cutting-edge projects. Learn more: bit.ly/3Ww0sJE

Everything new is also old. This from my 1984 PhD thesis: "AI is an experimental science, yet the complexity of its programs and problem domains often makes the interpretation of results very difficult. Programs often contain so many components and parameters that limitations on

Work in progress on enabling Bayesian inference in the design space. For more details see paper: …lnkd.in/fCNupBF

Prime Minister please join the dots and draw the obvious conclusion. #resign

DManD Centre had an in-house soft launch of its #Research #Studio earlier today. Check out some of the photos here.

Morphing mug. Experiments with #handmade #topology one #handle one #hole #genus one