accessibility


AI is reducing barriers for people with disabilities to enter the workforce: Hector Minto - Microsoft News Center India

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He walks into the meeting room and starts talking about the Indian Premier League (IPL), a popular club cricket tournament in India, and team jersey colors. "Imagine two teams playing in blue and yellow jerseys on a green cricket pitch," he says. As hard as I try to imagine Chennai playing Mumbai at the Wankhede stadium, I'm left wondering whether I am in the right room and if he's the person I'm supposed to be talking to about Microsoft's role in making the physical and digital world accessible to everyone. As it turns out, he is indeed the one. "You may not realize but people with color blindness might not be able to see an IPL match between Chennai and Mumbai. On Windows 10, you can select a color filter in the ease of access settings that enables people with color blindness to access that content. It is built-in by default and you don't need to add anything," he exclaims without skipping a beat.


2020 ADA Standards of Care just arrived and now includes AI to prevent blindness

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The nation's leading association that fights against diabetes released a new set of clinical standards that for the first time include the use of autonomous artificial intelligence (AI). The American Diabetes Association (ADA)'s 2020 Standards of Medical Care in Diabetes states that, "AI systems that detect more than mild diabetic retinopathy and diabetic macular edema authorized for use by the FDA represent an alternative to traditional screening approaches." To date, IDx-DR is the first and only FDA-authorized autonomous AI diagnostic system for the detection of diabetic retinopathy and macular edema. It is currently in use at a number of large health systems that each serve tens of thousands of people with diabetes and have struggled to implement diabetic retinopathy eye exams at scale for their large diabetes population. "The ADA's inclusion of our technology in its Standards of Care marks a significant move toward mainstream adoption of autonomous AI in clinical care," said Michael Abramoff, MD, PhD, Founder and Executive Chairman at IDx. "Our early customers are visionary leaders who foresaw that autonomous AI would one day become a standard of care for diabetic retinopathy screening, and taking that leap is paying off for them. Already, health systems that are using IDx-DR have experienced significant improvements in accessibility, efficiency and compliance rates, unleashing massive potential for cost savings and improved patient outcomes."


Machine translation, no match for humans: machines translate words, humans the underlying message University of Helsinki

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Many of us are familiar with Google Translate, translation applications for travellers' smartphones and the instruction manuals of various devices and products. Professional translators also make use of machines. Training a computer to translate between two specific languages takes millions of sentences or billions of words worth of text. Maarit Koponen, a postdoctoral researcher at the University of Helsinki, is investigating which errors made by machines lead to misunderstandings and how those mistakes could be identified. The learning algorithms behind machine translation are called artificial intelligence, but machines are not intelligent in the way humans or the super AIs of science-fiction films are.


Otter is AI for Accessibility

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Sign in to report inappropriate content. Otter.ai was selected by the USDA TARGET center to present the AI-powered Otter Voice Notes to the federal agencies on May 15, 2019, for the event called #InnovationAtWork in Washington, D.C, showcasing the latest assistive technology helping people living with disabilities.


The accessibility of GPT-2 -- text generation and fine-tuning

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Natural Language Generation (NLG) is a well studied subject among the NLP community. With the rise of deep learning methods, NLG has become better and better. Recently, OpenAI has pushed the limits, with the release of GPT-2 -- a Transformers based model that predicts the next token at each time space. Nowadays it's quite easy to use these models -- you don't need to implement the code yourself, or train the models using expensive resources. HuggingFace, for instance, has released an API that eases the access to the pretrained GPT-2 OpenAI has published.


Predicting Airbnb prices with machine learning and location data

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As part of the IBM Data Science Professional Certificate, we get to have a go at our very own Data Science Capstone, where we get a taste of what is like to solve problems and answer questions like a data scientist. For my assignment, I decided to do yet another project that looks into the relationship between Airbnb prices and its determinants. Yes, there are several very cool ones like Laura Lewis's here. I would not have been able to do mine without reading and understanding hers (and her code), so kudos! However, being that I'm all about transportation research, I added a little touch of geospatial analysis by looking into locational features as possible predictors. This post explains a bit of the project background, data collection, cleaning and pre-processing, modeling, and a quick wrap up. For the complete notebook with all the code, you can check out the repo on my Github.


'Smart cities' urged to look beyond rich white men and target those in need

The Japan Times

BARCELONA, SPAIN – A growing push to put cities on a digital path to a greener future risks excluding groups like the poorest, disabled and elderly, and will fail to benefit those people unless technology is used to help meet their needs, rights advocates have warned. They also called for women to be given a bigger say in urban planning that is based on high-tech tools such as big data and artificial intelligence, while speaking at an international conference on "smart cities" in Barcelona this week. "My fear is that smart cities end up benefiting the elite white men," said Catherine D'Ignazio, an assistant professor at Massachusetts Institute of Technology. In the United States, she said, national politics and other social spheres are shaped by "the privilege hazard," in which a small, dominant group -- often of rich, older men -- make decisions for others whose lives and experiences they know little about. One way to counteract that is to produce and use data that dive into key areas of discrimination, such as gender and race, she added.


Artificial Intelligence: How 5 Tools Used To Mold Digital Marketing

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Digital marketing course in Coimbatore is anticipated to enter its 2nd massive disruption soon (the primary one became called internet 2.Zero disruption, when customers became empowered with new equipment to have interaction with one another and connect at once to manufacturers). And this soon-to-happen disruption is era-driven. Smart technology is disrupting marketing with deep learning, herbal language processing, the Internet of Things, device mastering and extra. But certainly one of the biggest era tendencies affecting all areas of virtual advertising is artificial intelligence. Artificial Intelligence (AI) is largely coaching the system to assume and react as humans might.


The Rise of Inclusive Design

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Make the world work for 100% of humanity, in the shortest possible time, through spontaneous cooperation without ecological offense or disadvantage of anyone. As a design leader, keeping one foot in the present and the other an optimistic future is all in a typical day. However, a little over a year ago, the universe decided to kick one of those feet out from under me and present me with an opportunity to experience life with a physical impairment. For the next three months, that injury left me wheelchair bound and gave me an opportunity to pivot my design from adoption, conversion and retention of users to accessibility and the rapid shift to Inclusive Design. According to the CDC, 1 in 4 US adults live with a disability.


AI for Accessibility

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According to the World Health Organization, 1 billion people on Earth have some form of disability. It's not surprising, then, that Microsoft's AI for Good campaign supports efforts that drive accessibility, empowering people to achieve more, regardless of their level of ability. AI for Good is a $50 million commitment from Microsoft to enable innovators to create solutions that leverage artificial intelligence (AI) technologies. The support includes use of Microsoft's Azure cloud and AI tools. AI can serve as the'brains' behind tools that enhance independence and productivity for people who have disabilities.