How To Choose The Perfect Entry Doors?

The entry door or the front door of your house is the main gateway inside your house. Besides being functional and attractive, it must be durable and hardy too. If you are considering buying a new front door for your house, then you have a lot of things to consider. Well, everyone wants to get that perfect door for their home and it is also important. It can improve the curb appeal of your house as well as it can create a great impression. Honestly, there are a lot of options available in the market when it comes to buying the perfect front entry doors in OKC. But so many options can be overwhelming and confusing too.

Things to consider

There are certain things that you have to consider when you are looking for the best front door for your house. The front door has to be one of a kind as it creates great impression as well as protect your house from theft, trespassing and vandalism. So, here are some of the important factors to consider:

  1. Material: The first and most important things to consider when you are choosing the entry door for your house is the material. It must be something which is highly durable and resistant to heat, water and storms. Also, it is better to choose the material that doesn’t need a lot of maintenance.
  2. Style & Design: Don’t forget that your entry door must be beautiful. It is the first thing that people will notice before entering into your house. This must leave a great impression. A beautiful décor with the color that matches with the décor will look amazing.
  3. Size: Another factor that you have to consider while buying a front door for your house is the size of the door. Well, there are different sizes of doors available but you need to know the exact size that you need for your house. Even you can get it customized like the way you want.
  4. Sturdy & reliable: Sturdiness is one of the most important factors when it comes to the entry door of your house. The door has to stand up against a lot of storms, snows, rains and harsh UV rays. You need to choose something that can last for a really long time.

Entry door to create impression

We all know that doors protect us from several things. It also helps us to have plenty of privacy in our house. But you need to know that entry doors have the capability to create a great impression on your visitors as well. So, if you want to make the first impression the best one, then make sure to consider some unique and beautiful style. You will be able to choose from varieties of styles and designs for your door. You just need to choose the best one that fits best with your taste and décor. You can take the help of professional home décor designers too to choose one of the best entry doors in Oklahoma City for your house. Surely, this will enhance the look of your house.

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Twitter bags deep learning talent behind London startup, Fabula AI

Twitter has just announced it has picked up London-based Fabula AI. The deep learning startup has been developing technology to try to identify online disinformation by looking at patterns in how fake stuff vs genuine news spreads online — making it an obvious fit for the rumor-riled social network.

Social media giants remain under increasing political pressure to get a handle on online disinformation to ensure that manipulative messages don’t, for example, get a free pass to fiddle with democratic processes.

Facebook, Google and Twitter told to do more to fight fake news ahead of European elections

Twitter says the acquisition of Fabula will help it build out its internal machine learning capabilities — writing that the UK startup’s “world-class team of machine learning researchers” will feed an internal research group it’s building out, led by Sandeep Pandey, its head of ML/AI engineering.

This research group will focus on “a few key strategic areas such as natural language processing, reinforcement learning, ML ethics, recommendation systems, and graph deep learning” — now with Fabula co-founder and chief scientist, Michael Bronstein, as a leading light within it.

Bronstein is chair in machine learning & pattern recognition at Imperial College, London — a position he will remain while leading graph deep learning research at Twitter.

Fabula’s chief technologist, Federico Monti — another co-founder, who began the collaboration that underpin’s the patented technology with Bronstein while at the University of Lugano, Switzerland — is also joining Twitter.

“We are really excited to join the ML research team at Twitter, and work together to grow their team and capabilities. Specifically, we are looking forward to applying our graph deep learning techniques to improving the health of the conversation across the service,” said Bronstein in a statement.

“This strategic investment in graph deep learning research, technology and talent will be a key driver as we work to help people feel safe on Twitter and help them see relevant information,” Twitter added. “Specifically, by studying and understanding the Twitter graph, comprised of the millions of Tweets, Retweets and Likes shared on Twitter every day, we will be able to improve the health of the conversation, as well as products including the timeline, recommendations, the explore tab and the onboarding experience.”

Terms of the acquisition have not been disclosed.

We covered Fabula’s technology and business plan back in February when it announced its “new class” of machine learning algorithms for detecting what it colloquially badged ‘fake news’.

Its approach to the problem of online disinformation looks at how it spreads on social networks — and therefore who is spreading it — rather than focusing on the content itself, as some other approaches do.

Fabula has patented algorithms that use the emergent field of “Geometric Deep Learning” to detect online disinformation — where the datasets in question are so large and complex that traditional machine learning techniques struggle to find purchase. Which does really sound like a patent designed with big tech in mind.

Fabula likens how ‘fake news’ spreads on social media vs real news as akin to “a very simplified model of how a disease spreads on the network”.

One advantage of the approach is it looks to be language agnostic (at least barring any cultural differences which might also impact how fake news spread).

Back in February the startup told us it was aiming to build an open, decentralised “truth-risk scoring platform” — akin to a credit referencing agency, just focused on content not cash.

It’s not clear from Twitter’s blog post whether the core technologies it will be acquiring with Fabula will now stay locked up within its internal research department — or be shared more widely, to help other platforms grappling with online disinformation challenges.

The startup had intended to offer an API for platforms and publishers later this year.

But of course building a platform is a major undertaking. And, in the meanwhile, Twitter — with its pressing need to better understand the stuff its network spreads — came calling.

A source close to the matter told us that Fabula’s founders decided that selling to Twitter instead of pushing for momentum behind a vision of a decentralized, open platform because the exit offered them more opportunity to have “real and deep impact, at scale”.

Though it is also still not certain what Twitter will end up doing with the technology it’s acquiring. And it at least remains possible that Twitter could choose to make it made open across platforms.

“That’ll be for the team to figure out with Twitter down the line,” our source added.

A spokesman for Twitter did not respond directly when we asked about its plans for the patented technology but he told us: “There’s more to come on how we will integrate Fabula’s technology where it makes sense to strengthen our systems and operations in the coming months.  It will likely take us some time to be able to integrate their graph deep learning algorithms into our ML platform. We’re bringing Fabula in for the team, tech and mission, which are all aligned with our top priority: Health.”