Discover and read the best of Twitter Threads about #datasets

Most recents (13)

The 2nd day of #PESW starts in a few hours with a #keynote speech on #multivariate #analysis by our guest prof. @j_camacho_p from @CanalUGR. #NetSec Session 2 on #Datasets and Quality will follow. Spoiler: #perqoda. See pesw.fit.cvut.cz/2022/index.php… and come to #Horoměřice in person!
@j_camacho_p is on the stage! #PESW day has started. Let's listen to the #networkmetrics.
Very interesting presentation - data analysis based on multivariate analysis can help to reveal issues in data(́sets). Maybe even the "Clever Hans" effect? Btw. photo of "technology that never fails" (professionals are ready for presentation)
Read 5 tweets
🚨 #NewStudyAlert 🚨 #energytwitter

Today we release a new report: "Role of Electricity Produced by Advanced Nuclear Technologies in Decarbonizing the U.S Energy System". Below lies a thread (🧵🪡)
We deployed WIS:dom-P w/ augmentation to include: #endogenous learning, blended adv. #nuclear tech., yearly investment periods, @NREL #electrification, pilot projects, new #weather & load #datasets.
Two pathways were analyzed. First, "nominal", was where advanced nuclear had a lower first-of-a-kind (FOAK) cost & no delays due to permitting, labor, supply chains. The second pathway, "constrained", had a higher FOAK and there were delays in permitting, labor and supply chains.
Read 16 tweets
✨Very happy to be able to share my new article titled "The ethics and politics of data sets in the age of machine learning: deleting traces and encountering remains" which is out in @MCSjournal open access journals.sagepub.com/doi/full/10.11… #datasets #MachineLearning #aireuse
The article explores the emergence of what I call ‘critical dataset studies’ and draws on critical archival theory to articulate the ethico-political issues surfaced by these studies.
Specifically my article argues that critical dataset studies shows the need for an expanded ethical and conceptual approach to datasets that not only relies on linear notions of deletion and accountability but also on iterative frameworks of remains and response-ability.
Read 8 tweets
the service is using ML model trained on large number of annotated product texts. google product taxonomy was taken as the base taxonomy, which was then customised.
the #platform can be used both as dashboard or as #API #json endpoint. here is the url for IAB classification that you can try out: productcategorization.com/demo_dashboard…
Read 5 tweets
#Robots need a better sense of touch to become dexterous.
We work on fixing this with our new sensor: “Insight” -- it uses a tiny camera and deep learning to enable high-fidelity sensing all-around with normal and shear forces.
Out today: nature.com/articles/s4225…
1/7
2/7
I am super proud of the rest of the team @huanbo_sun and Katherine J. Kuchenbecker.

We set out to create a high-fidelity 3D tactile sensor that is robust, cheap, and easy to make.

Here is a 4-min video explaining how it works:


more below
3/7
So here are a few details:

The mechanical design is pretty unique: we use a soft elastomer that encloses a rigid thin skeleton.
-> it can withstand strong forces
-> it is very sensitive
-> surface has high friction
#Haptics #Elastomer #Overmolding Image
Read 8 tweets
When beginners start with #DataScience, the biggest pain point is finding good datasets for projects.
Luckily, there are many good public #datasets available! 📈🤓

Here are places you can find them! ⬇️⬇️⬇️

#Thread

#MachineLearning #datascience #AI

(1/8)
1️⃣ @fastdotai

Apart from providing amazing free courses, Fast AI has teamed up with AWS to provide free datasets for image classification, NLP, image localization and COCO projects.

👉 course.fast.ai/datasets

(2/8)
@fastdotai 2️⃣ Awesome Public Datasets

This is a rich github repo of carefully curated datasets from 35+ domains.

👉github.com/awesomedata/aw…

(3/8)
Read 8 tweets
1/9 Covid-19 has shown us the benefits of #datasharing, but lack of trust in how #data is shared, and difficulty in designing and sustaining #dataaccess initiatives, can be a barrier to sharing.

We’ve been exploring these challenges in our @InnovateUK funded R&D programme...
2/9 Lack of trust and trustworthiness could lead to less #datasharing. But how do we decide what organisations and #datasets are trustworthy?

We've been exploring systematic ways of examining trust and trustworthiness: theodi.org/project/buildi…
3/9 ...and here’s a (beta) guidebook to help you be more trustworthy and trusted when collecting, managing, using and sharing #data. Please try it and let us know what you think: theodi.org/article/introd…
Read 9 tweets
Subsequent to #Surgisphere, all @TheLancet journals will now introduce additional peer-review requirements for papers based on large, real-world #datasets. thelancet.com/journals/lance…
@TheLancet journals now require all #research papers, irrespective of method, to include a data-sharing statement that details what #data will be shared, whether additional documents will be shared, when data will become available & by what access criteria data will be shared.
All @TheLancet journals will now introduce additional peer-review requirements for papers based on large, real-world datasets.
Read 10 tweets
In reply @VijayKunadian : 1) we know there is an excess of deaths (when all-causes as a single group are studied) (@d_spiegel);
2) there will also be an excess of #cardiovascular deaths (we will release a pre-print shortly for external review @mmamas1973). I think it is very likely people did not come to #hospital - we know that failure to treat MI results in premature death.
(However, limitations in arbitration of cause, ‘default’ to #COVID19 as a cause, & latent effects of missed #heartattack will produce mis-classification bias & an underestimation of the extent of the deaths from not seeking help)
Read 8 tweets
Two thoughts: (1) any system where information *for care* does not flow along #CarePathways is fundamentally broken. Once that DOES work properly, abstracting useful/necessary #statistics for planning & #response becomes far more possible/likely...
(2) As #COVID19 has shown, any '#MinimumCareDataset' MUST contain #operational as well as #health data - and must distinguish #health & #care too. Also, focusing just on '#datasets' is too many layers up the #stack; what about the #dictionary?
#Investment in #SocialCare as an #InformationSystem (which every complex system basically is) lags health & the NHS by 3 - 4 DECADES.

If that's not an opportunity for massive #innovation, #transformation and *avoiding past errors* then tell me what is. Allowing #BigTech et al...
Read 4 tweets
Daily Bookmarks to GAVNet 6/02/2020-2

greeneracresvaluenetwork.wordpress.com/2020/06/02/dai…

What COVID-19 Means For The Future Of Capitalism, Democracy And Sustainability

medium.com/volans/what-co…

#coronavirus #future #capitalism #democracy #Sustainability
U.S. COVID-19 Contact Tracing Programs Designed for Failure, Despite Bloomberg Money; Why Can't the U.S. Copy the Lessons of Hong Kong's Success? | naked capitalism

nakedcapitalism.com/2020/05/u-s-co…

#tracing #failure #contact #Bloomberg
Stretch and flow: Research sheds light on unusual properties of well-known materials

phys.org/news/2020-05-u…

#research #flow #materials #Stretch
Read 12 tweets
1/6 #BuildANewAnthropocene

Marine #citizenscience is a promising means of enhancing engagement in #marineconservation

We conducted a global survey of projects to
- Document the extent of #marinecitsci globally
- Outline its (potential) contribution to #marineconservation
2/6 #BuildANewAnthropocene

Figure = Global map of #marinecitsci projects

We identified 74 projects from around the world

These varied in size - small (5) to large (>7,000 active participants)

& scope - beach-cleans, invasive species tracking, marine mammal surveys, etc.
3/6 #BuildANewAnthropocene

Projects are mostly #contributorycitizenscience

> participants are primarily involved in data collection (i.e. less in data analysis)

> easier to conduct, engage large numbers at lower costs

> generate larger #datasets, inform science & #policy
Read 6 tweets
Today, @NITIAayog released a Discussion Paper titled ‘National Strategy for Artificial Intelligence”. #AIforAll
niti.gov.in/writereaddata/…
We provide our initial thoughts on the paper here. 1/n
We welcome this initiative by @NITIAayog, but a call for comments would have been a welcome addition. The paper takes important steps forward from the #AI Task Force report released earlier this year by the DIPP, Ministry of Commerce and Industry (dipp.nic.in/sites/default/…). 2/n
This paper attempts a more holistic look at a broader range of issues concerning AI including #regulation, #ethics, #fairness, #transparency and #accountability. However, a number of issues still remain with this paper. 3/n
Read 41 tweets

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