Tools based on artificial intelligence, such as computer vision and voice interfaces, have the potential to change the lives of people with disabilities, but in fact, these AI models are usually built with little data from these people. Microsoft is working with non-profit partners to help make these tools reflect the needs and everyday realities of people living in conditions such as blindness and mobility. For example, consider a computer vision system that recognizes objects and describes things such as things on a table. The algorithm may be trained with data collected by normal people. People in wheelchairs who want to do the same thing may find that the effect of the system is not ideal from this low point of view. Similarly, blind people don’t know how to keep the camera in the right position long enough for the algorithm to work, so they have to do it through trial and error. Among the faces used to train the disabled, a considerable number of faces have respirators, or jet and blow controllers, or headbands. If the system has never seen anything similar, these & quot; hybrids & quot; will greatly affect the accuracy. < p > < p > so Microsoft today announced a number of efforts led by advocacy organizations, hoping to make a difference in the & quot; data Desert & quot; that limits the inclusiveness of AI. The first is a collaboration with team Gleason, which was established to raise awareness of neuromotor degenerative disease amyotrophic lateral sclerosis (ALS). What they’re worried about is the above question about face recognition. People with ALS have a variety of symptoms and assistive technologies that interfere with algorithms that have never been seen before. For example, if a company wants to ship eye tracking software that relies on face recognition, that becomes a problem, and Microsoft certainly wants to do the same. < / P > < p > Project insight is the name of a new joint effort with Microsoft that will collect face images of volunteer users with ALS as they conduct business. Over time, the data will be integrated with Microsoft’s existing cognitive services, but will also be released free of charge so that others can use it to improve their algorithms. Their goal is to release it by the end of 2021. < / P > < p > another area that needs to be improved is for people with impaired vision or in wheelchairs, and they need to get data from their perspective. There are two kinds of efforts aimed at solving this problem. Microsoft is working with City University of London on a project called object recognition for blind image training, which is building a data set for identifying everyday objects using smartphone cameras. Unlike other datasets, however, this will come entirely from blind users. Didi Qingju bicycle has entered 150 cities

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