AI
Defining An Open Source AI For The Greater Good
Join the conversation by joining the four Deep Dive: AI panel discussions starting on October 11. Artificial intelligence (AI) has become more prevalent in our daily lives. While AI systems may intend to offer users convenience, there have been numerous examples of automated tools getting it wrong, resulting in serious consequences. What’s happening in the …
AI Says Dino Footprints Don’t Belong To A Predator
Prehistoric footprints attributed to a vicious dinosaur predator are actually from a timid herbivore, artificial intelligence indicates. University of Queensland paleontologist Anthony Romilio used AI pattern recognition to re-analyze footprints from the Dinosaur Stampede National Monument, south-west of Winton in Central Queensland. “Large dinosaur footprints were first discovered back in the 1970s at a track site called …
Flexible AI Computer Chips Promise Wearable Health Monitors That Protect Privacy
The Research Brief is a short take about interesting academic work. The big idea My colleagues and I have developed a flexible, stretchable electronic device that runs machine-learning algorithms to continuously collect and analyze health data directly on the body. The skinlike sticker, developed in my lab at the University of Chicago’s Pritzker School of …
The Incredible Ways That Retailers Are Using AI to Improve Your Black Friday and Cyber Monday Experience
Black Friday and Cyber Monday are around the corner, and you know what that means: discounted products at online and offline retail outlets. These deals have become a yearly ritual for many of us. But this year, one thing has changed — Artificial Intelligence. With Artificial Intelligence as a superpower, there’s no need to make …
4 Predictions for the Future of AI in Retail
The use of AI within the retail industry has seen a rise in recent years, with the main goals of improving retention, efficiency and ROI. There is now a focus on the practical applications of AI to solve challenges in retail, especially in light of the competitive edge lost by many retail businesses during the …
The Danger Of Advanced Artificial Intelligence Controlling Its Own Feedback
How would an artificial intelligence (AI) decide what to do? One common approach in AI research is called “reinforcement learning”. Reinforcement learning gives the software a “reward” defined in some way, and lets the software figure out how to maximise the reward. This approach has produced some excellent results, such as building software agents that …
AI In Accounting: 7 Ways AI Helps To Digitize The Accounting and Finance Tasks
AI In Accounting And Finance Industry Artificial intelligence (AI) is playing a vital role in the digital transformation of accounting and finance. AI machines take over the burden of doing repetitive and time-consuming tasks. Artificial Intelligence in accounting reduces human intervention. Herein, we discussed how AI applications and AI services help finance experts in accomplishing their regular responsibilities …
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 …
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 …
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 …