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Articles related to "available"


Announcing Sight Tech Global, an event on the future of AI and accessibility for people who are blind or visually impaired

  • Remarkable leaps forward like that are the foundation for Sight Tech Global, a new, virtual event slated for Dec 2-3, that will bring together many of the world’s top technology and accessibility experts to discuss how rapid advances in AI and related technologies will shape assistive technology and accessibility in the years ahead.
  • Many of those experts and technologists are blind or visually impaired, and the event programming will stand firmly on the ground that no discussion or new product development is meaningful without the direct involvement of that community.
  • Sight Tech Global aims to complement the existing event line-up by focusing on hard questions about advanced technologies and the products and experiences they will drive in the years ahead – assuming they are developed hand-in-hand with their intended audience and with affordability, training and other social factors in mind.

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Sony’s ‘Ready for PlayStation 5’ TVs are not, in fact, ready for PS5

  • (Asked if the update will be available by the time the PS5 launches, a Sony representative told Polygon that the company could not comment on timing.) And for what it’s worth, the Z8H only supports 4K120 content on one of its four HDMI inputs.
  • Now imagine a certification program that would clarify a key point for consumers: which TVs on the market support all of the PS5’s new HDMI 2.1-based video features.
  • (In its news release this week, Sony said the X900H’s input lag is just 7.2 ms for 4K120 gaming, but that figure came from “internal testing conditions,” since the aforementioned firmware update hasn’t been released publicly.) Once the firmware update is live, the X900H will check all the boxes on our list of must-have HDMI 2.1 features.

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Multi Class Text Classification With Deep Learning Using BERT

  • Finding and selecting a suitable conference has always been challenging especially for young researchers.
  • However, based on the previous conferences proceeding data, the researchers can increase their chances of paper acceptance and publication.
  • The dataset contains 2,507 research paper titles, and have been manually classified into 5 categories (i.e. conferences) that can be downloaded from here.
  • You may have noticed that our classes are imbalanced, and we will address this later on.
  • Because the labels are imbalanced, we split the data set in a stratified fashion, using this as the class labels.
  • Tokenization is a process to take raw texts and split into tokens, which are numeric data to represent words.
  • We are treating each title as its unique sequence, so one sequence will be classified to one of the five labels (i.e. conferences).

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Multi Class Text Classification With Deep Learning Using BERT

  • Finding and selecting a suitable conference has always been challenging especially for young researchers.
  • However, based on the previous conferences proceeding data, the researchers can increase their chances of paper acceptance and publication.
  • The dataset contains 2,507 research paper titles, and have been manually classified into 5 categories (i.e. conferences) that can be downloaded from here.
  • You may have noticed that our classes are imbalanced, and we will address this later on.
  • Because the labels are imbalanced, we split the data set in a stratified fashion, using this as the class labels.
  • Tokenization is a process to take raw texts and split into tokens, which are numeric data to represent words.
  • We are treating each title as its unique sequence, so one sequence will be classified to one of the five labels (i.e. conferences).

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Multi Class Text Classification With Deep Learning Using BERT

  • Most of the researchers submit their research papers to academic conference because its a faster way of making the results available.
  • However, based on the previous conferences proceeding data, the researchers can increase their chances of paper acceptance and publication.
  • The dataset contains 2,507 research paper titles, and have been manually classified into 5 categories (i.e. conferences) that can be downloaded from here.
  • You may have noticed that our classes are imbalanced, and we will address this later on.
  • Because the labels are imbalanced, we split the data set in a stratified fashion, using this as the class labels.
  • Tokenization is a process to take raw texts and split into tokens, which are numeric data to represent words.
  • We are treating each title as its unique sequence, so one sequence will be classified to one of the five labels (i.e. conferences).

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alexmojaki/futurecoder

  • This is a platform/course for complete beginners to teach themselves programming, specifically in Python.
  • In the event that the demo site gets more attention than it can handle, try running the code locally with the instructions below.
  • Each step requires that the user runs some code that satisfies the requirements of that step.
  • They can click "Previous" if they want to review completed pages, but it doesn't affect their progress - any code they submit is still evaluated against the current step, and refreshing the page returns to the last page.
  • Every user has their own process, which holds the state of the shell or the currently running program (which may be awaiting input()).
  • After the code finishes running, it checks the Page and Step that the user is currently on, and calls the Step.check method.

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