Ackley Wyndam, Author at Liwaiwai - Page 4 of 12

Top 10 Use Cases Of AI and Machine Learning

Artificial Intelligence can be expanded, adapted, and applied simply to several business operations. In this digital era, AI is a crucial investment area. Many tech giants like Microsoft, Google, and Apple are heavily investing in AI. This trending technology is not limited to those companies, but every business is in plans to modernize with AI. According to a survey conducted by The New York Times, 54 AI firms are playing a vital role in shaping the future with Artificial Intelligence. Along with AI, these companies are benefiting from machine learning, deep learning, data science, speech recognition, and other AI technologies. According to the market research report of…

With Human Help, AIs Are Generating A New Aesthetics. The Results Are Trippy

Warning: this film features visual effects that could be unsuitable for photosensitive viewers. Ghosts is part of an ongoing project in which the Istanbul-based media artist Vadim Epstein explores AI technology via animation. Epstein created the video’s trippy, shapeshifting visuals through a program called StarGAN v2, which uses a neural network to generate new images by pulling from a user-created dataset. The image-to-image technology is similar to what’s used to change one’s hair colour or age à la Snapchat face filters, but anyone who has tried re-inputting a filtered image back into a feed multiple times, as Epstein does here,…

How AI Can Worsen Health Care Disparities?

Data sources that “teach” artificial intelligence could amplify and worsen disparities in health care, says law professor Nicholson Price. Those data sources are not representative and/or are based on data from current unequal care, says Price, a member of the University of Michigan’s Institute for Healthcare Policy & Innovation. In a recent article in Science, Price and colleagues Ana Bracic of Michigan State University and Shawneequa Callier of George Washington University say these disparities are happening despite efforts in medicine by physicians and health systems trying strategies focused on diverse workforce recruitment or implicit bias training. Here, Price answers questions about bias and AI in healthcare: Q What is an example of anti-minority culture? A…

Even Smartest AI Models Don’t Match Human Visual Processing

How deep-network models take potentially dangerous ‘shortcuts’ in solving complex recognition tasks. Deep convolutional neural networks (DCNNs) don’t see objects the way humans do — using configural shape perception — and that could be dangerous in real-world AI applications, says Professor James Elder, co-author of a York University study published today. Published in the Cell Press journal iScience, Deep learning models fail to capture the configural nature of human shape perception is a collaborative study by Elder, who holds the York Research Chair in Human and Computer Vision and is Co-Director of York’s Centre for AI & Society, and Assistant Psychology…

Artificial Intelligence

5 Ways To Avoid Artificial Intelligence Bias With ‘Responsible AI’

AI is an immense opportunity for humankind and many organizations. Having a clear AI governance framework based on clear principles will ensure that AI is used responsibly and optimally for an organization. Over the last few years, responsible AI has gone from a niche concept to a constant headline. Responsible, trustworthy AI is the subject of several documentaries, books, and conferences. The more we make responsible AI an expectation and a known commodity, the more likely we are to make it our reality. This enables us to flourish with more accessible AI. This is our shared goal through the Responsible AI Badge certification programme for…

Artificial Intelligence

Push For AI Innovation Can Create Dangerous Products

This past June, the U.S. National Highway Traffic Safety Administration announced a probe into Tesla’s autopilot software. Data gathered from 16 crashes raised concerns over the possibility that Tesla’s AI may be programmed to quit when a crash is imminent. This way, the car’s driver, not the manufacturer, would be legally liable at the moment of impact. It echoes the revelation that Uber’s self-driving car, which hit and killed a woman, detected her six seconds before impact. But the AI was not programmed to recognize pedestrians outside of designated crosswalks. Why? Because jaywalkers are not legally there. Some believe these…

Why Banning Autonomous Killer Robots Wouldn’t Solve Anything

Autonomous weapons – killer robots that can attack without a human operator – are dangerous tools. There is no doubt about this fact. As tech entrepreneurs such as Elon Musk, Mustafa Suleyman and other signatories to a recent open letter to the United Nations have put it, autonomous weapons ‘can be weapons of terror, weapons that despots and terrorists use against innocent populations, and weapons [that can be] hacked to behave in undesirable ways’. But this does not mean that the UN should implement a preventive ban on the further development of these weapons, as the signatories of the open…

Why Artificial Neural Networks Have A Long Way To Go Before They Can ‘See’ Like Us

Artificial neural networks were created to imitate processes in our brains, and in many respects – such as performing the quick, complex calculations necessary to win strategic games such as chess and Go – they’ve already surpassed us. But if you’ve ever clicked through a CAPTCHA test online to prove you’re human, you know that our visual cortex still reigns supreme over its artificial imitators (for now, at least). So if schooling world chess champions has become a breeze, what’s so hard about, say, positively identifying a handwritten ‘9’? This explainer from the US YouTuber Grant Sanderson, who creates…

Machine Learning

Wireless ‘Clearbuds’ Use Machine Learning For Better Sound

“Clearbuds,” a new kind of wireless earbud, enhance a speaker’s voice and reduce background noise, researchers report. Clearbuds use a microphone system and one of the first machine-learning systems to operate in real time and run on a smartphone. Researchers were inspired to do the work as meetings shifted online during the COVID-19 lockdown and many people found that chattering roommates, garbage trucks, and other loud sounds disrupted important conversations. “ClearBuds differentiate themselves from other wireless earbuds in two key ways,” says co-lead author Maruchi Kim, a doctoral student in the Paul G. Allen School of Computer Science & Engineering…

How To Investigate When A Robot Causes An Accident – And Why It’s Important That We Do

Robots are featuring more and more in our daily lives. They can be incredibly useful (bionic limbs, robotic lawnmowers, or robots which deliver meals to people in quarantine), or merely entertaining (robotic dogs, dancing toys, and acrobatic drones). Imagination is perhaps the only limit to what robots will be able to do in the future. What happens, though, when robots don’t do what we want them to – or do it in a way that causes harm? For example, what happens if a bionic arm is involved in a driving accident? Robot accidents are becoming a concern for two reasons.…

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