SenteticSense

A fresh approach to IoT sensors data analytics using ML and predictive algorithms to prevent breakdowns, increase asset lifecycle and reduce maintenance costs.

[marco poponi 🐗 @pomarc]

Eroi dei nostri tempi

[SenteticSense @SenteticSense]

Researchers at Caltech have introduced a new deep-learning technique for solving PDEs that is dramatically more accurate than deep-learning methods developed previously.
https://t.co/F5dNvWXmDS

[Nino Cartabellotta @Cartabellotta]

#mascherina #TrendingTopic
1. Non è dispositivo di protezione individuale: la MIA protegge TE, la TUA protegge ME
2. Indossarla sempre nei luoghi pubblici al chiuso e all'aperto solo se distanza >1 metro non garantita
3. Non disperderla nell'ambiente
Any question?
#COVID__19

[Andrej Karpathy @karpathy]

By posting GPT generated text we’re polluting the data for its future versions

[SenteticSense @SenteticSense]

Simply amazing..
https://t.co/pw1isIMumx

[Dr. Ganapathi Pulipaka 🇺🇸 @gp_pulipaka]

Differentiable ODE Solvers with Backpropagation. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Mathematics #Programming #Coding #100DaysofCode
https://t.co/VgGnObvUaX

[SenteticSense @SenteticSense]

https://t.co/kgZTyS5yZ8

[SenteticSense @SenteticSense]

@DANIELEALO14 @SmilexTech @danielesparisci Prova ad aprire una finestra di navigazione in incognito nel browser.. ;)

[Zining @ZiningRW]

Why doctors from China headed to Italy immediately? In 1983, Italy donated the one of the largest Emergency Medical Center in Beijing. After almost 40 years, we still remember ❤️🇨🇳 🇮🇹 . #cina #COVID2019italia #coronavirusitalla #Covid_19 #itwillbeok

[SenteticSense @SenteticSense]

Sometimes, someone can make you smile in the monday morning... #speedoflight #intergalacticConsequences

[Il claro @cla__ro]

@MedBunker Quanta pignoleria, L'Italia è stata comunque la prima in Italia a isolare il Coronavirus

[SenteticSense @SenteticSense]

“This Will Change the Way You Look at GANs” di Conor Lazarou https://t.co/aNTWlniCOr

[TensorFlow @TensorFlow]

You can now run a TensorFlow SavedModel in Node.js directly without conversion - and you might even get a performance boost! 🏎⚡️

Read the blog to learn how ↓
https://t.co/HJjbOIETWD

[SenteticSense @SenteticSense]

Spark versus cuDF and dask by Amilton Pimenta https://t.co/2jd0VOYafG

[Matthew Rocklin @mrocklin]

I've left my position at NVIDIA (it was great!)

I'm starting a Dask company

https://t.co/wNUV9k258N

Wish me luck :)

[ML Review @ml_review]

High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Process #NeurIPS2019
By David Salinas

Jointly learns temporal dynamics (LSTM) & covariance (Low-Rank Gaussian Copula) that scale to much larger dims.

Code https://t.co/6bKMxAYFP5
Abs https://t.co/yWtrHk705P

[SenteticSense @SenteticSense]

È davvero bello vedere il risultato di oltre due anni di lavoro prendere forma per migliorare la qualità e la sicurezza sulle nostre strade. Sentetic #smartbridge #machinelearning #shm #monitoraggio #viadotti
https://t.co/nDPrDyxlxa

https://t.co/OvMpbIUu1m

[Anas SpA @StradeAnas]

Oggi a #Autotrasporti di Andrea Ferro, AD #Anas Simonini parla di monitoraggio strumentale ponti e viadotti con sensori accelerometrici.
⌚Ore 13,45 su @Radio24_news

Seguilo qui 👉https://t.co/QokEKabFfq

[SenteticSense @SenteticSense]

“Convolution Revolution- OctConv” di Susant Achary https://t.co/swgIcICX59

[Olivier Grisel @ogrisel]

Very impressive results:

Momentum Contrast for Unsupervised Visual Representation Learning by Kaiming He et al. https://t.co/Qh91Yc2Mvn

Better than supervised ImageNet pre-training for transfer learning on object detection (eg COCO).