Jude Chu

[MIT Technology Review @techreview]

The number of air-conditioning units installed worldwide could triple by midcentury, pushing the total toward 6 billion. That threatens our power grids and promises to make climate change far worse. https://t.co/HEAYJ1izth

[arxiv @arxiv_org]

Explainable Online Validation of Machine Learning Models for Practical Applications. https://t.co/CEYhUzXR5O

[Thomas G. Dietterich @tdietterich]

Interesting paper by Vapnik and Izmailov. "Rethinking statistical learning theory: learning using statistical invariants" https://t.co/DO1LMG481f shows how to impose invariants on SVM-style learning. 1/

[Ricard Solé @ricard_sole]

Climate is changing fast, damaging ecosystems that will face tipping points in a few decades. What can be done? Along with changes in our economic model, we might need to bioengineer the biosphere and do some maths. Here's our paper https://t.co/qUtD09iOyz @LabNode @CSLab_UPF

[math.NT Number Theory arXiv submissions @arXiv_math_NT]

https://t.co/IbOoGdZpqq
B B Prado, K Klinger-Logan
Linear Operators, the Hurwitz Zeta Function and Dirichlet $L$-Functions

[arxiv @arxiv_org]

ES-MAML: Simple Hessian-Free Meta Learning. https://t.co/WTsgxmAYDs

[I'm @Ketanjoshi.co on Bluesky @KetanJ0]

@Joe_Hildebrand The thing is - if @newscomauHQ actually asked a scientist, or an expert instead of @Joe_Hildebrand to write about climate change, they would tell you that after ~four decades of "older and wiser heads" "racking their brains", emissions are still rising.

https://t.co/dWcMba4q8N

[arxiv @arxiv_org]

IoT Network Security from the Perspective of Adversarial Deep Learning. https://t.co/3tOvKvlxCw

[arxiv @arxiv_org]

Two-Stream Region Convolutional 3D Network for Temporal Activity Detection. https://t.co/0zKrIzNAWO

[UN Climate Change @UNFCCC]

Integrating large shares of #renewable energy into the electric grid, crucial to achieving the #ParisAgreement's #ClimateAction goals, is challenging.

But there is no lack of innovative solutions, including #Blockchain 👉https://t.co/oH5ZCf1SKb Join webinar on 16 May, 15:00 CEST

[NetScience @net_science]

Identifying topological order through unsupervised machine learning https://t.co/PKRsKn7MxJ

[Alessandro Vespignani @alexvespi]

The effects of imitation dynamics on vaccination behaviors in SIR-network model
“game-theoretic treatment of imitation dynamics which result from regular population mobility across residential and work areas and the ensuing interactions”

https://t.co/s1Y8pywFUt

[arxiv @arxiv_org]

Experimental Quantum-enhanced Cryptographic Remote Control. https://t.co/eSXSyVNaoh

[arXiv Daily @Arxiv_Daily]

Read @oriolvinyalsml's latest research published this week to #arxiv #NeuralNetwork #Vector https://t.co/PjeIzz132r

[International Energy Agency @IEA]

Don't miss this collection of World Energy Outlook webinars from our analysts 👇

Key findings: https://t.co/CJrqF5QM6s
Outlook for fuels: https://t.co/244cYJLP1U
Sustainable Development Scenario: https://t.co/rQ6cPudYTz
Focus on electricity: https://t.co/srpN2IQpy9

[hyejin youn @hyejin_youn]

A great example of use of Scaling theory in complex systems.

[Damien ERNST @DamienERNST1]

Joyful nature

(From @RoMont66 )

[IRENA @IRENA]

At what point does a new technology cause an existing industry to start losing significant value? @nybooks outlines some of the potential impacts of the #geopoliticsofrenewables—how #renewableenergy is affecting #climateaction, industry, & companies https://t.co/0nuAC2PVJa

[arxiv @arxiv_org]

A Multi-Authority Attribute-Based Signcryption Scheme with Efficient Revocation for Smart... https://t.co/fqKdIq5dgm

[DeepAI @DeepAI]

#MachineLearning #ImageNet https://t.co/ZLRoeRiVdJ