Computers that can think Free Essay Example, 1000 words

Concept 1 One of the most exciting concepts that is presented by Howard in his presentation pertains to a demonstration of one of the implications of the advent of computer learning. In the demonstration, Howard (2014), a team in Boston had recently announced that they had managed to identify a number of new clinically relevant tumor features that will serve to greatly aid doctors in the making of future cancer prognoses. In a similar development, Howard also points out that a group in Stanford had recently announced that by looking at tissues under magnification, they had managed design a machine learning based system that was much better at the prediction of cancer survival rates as compared to human pathologists. The development of these two systems involved the input of both machine learning experts and medical experts. However, in what is a very fascinating development, it is now possible for programmers to design medical systems without the input of human pathologists and by people who. Using a PowerPoint presentation, Howard explains how a system had been designed that could be able to identify cancerous areas of the human tissue under a microscope with a similar degree if not a higher level of accuracy as human pathologists. We will write a custom essay sample on Computers that can think or any topic specifically for you Only $17.96 $11.86/pageorder now Using the same technology, it was possible for Howard to start a new medical company although he did not have any previous background in medicine. Despite his not being a doctor, Howard was able to receive fantastic feedback from both the media and the medical community and by using the system, it is now possible to take a mere 15 minutes to generate a new medical diagnosis test. Concept 2 Another interesting concept that is presented by Howard (2014) in his presentation is his demonstration of just how it was not possible for computers to listen and understand by using deep learning. In presenting this concept, Howard used a video presentation that showed part of the proceedings of a machine learning conference that had been held in China. In the video, the presenter explains that by taking a large amount of data and information from numerous Chinese speakers, programmers had been able to produce an effective text-to-speech system that is able to take Chinese text and convert this text into Chinese language. In addition to this, the programmers had taken about an hour of the presenter’s voice to be used in the modulation of the text-to-speech system so as to ensure that the projected voice would be identical to that of the presenter.