Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence
Authors: Li Weigang, Liriam Enamoto, Denise Leyi Li
This article reviews the "Once learning" mechanism that was proposed 23 years ago and the subsequent successes of "One-shot learning" in image classification and "You Only Look Once - YOLO" in objective detection. Analyzing the current development of Artificial Intelligence (AI), the proposal is that AI should be clearly divided into the following categories: Artificial Human Intelligence (AHI), A...
Possible Future Impacts of Artificial Intelligence
Authors: Jerry Kaplan
<p>Is progress in AI accelerating?</p>
<p>Not all subfields of AI proceed at the same pace, in part because they build on progress in other fields. For example, improvements in the physical capabilities of robots have been relatively slow, since they are dependent on advances...</p>
📅 Published: 2016-11-24
🔗 Source: CrossRef
Philosophy of Artificial Intelligence
Authors: Jerry Kaplan
<p>What is the philosophy of AI?</p>
<p>You might wonder why a field like AI seems to attract so much controversy. After all, other engineering disciplines—such as civil, mechanical, or electrical engineering—aren’t typically the target of vociferous criticism from various branches of the humanities. Largely,...</p>
📅 Published: 2016-11-24
🔗 Source: CrossRef
The Impact of Artificial Intelligence on Human Labor
Authors: Jerry Kaplan
<p>Are robots going to take away our jobs?</p>
<p>While it’s tempting to think of AI systems in general, and robots in particular, as mechanical laborers competing for employment, this isn’t a helpful perspective from which to explore their impact on labor markets. The image...</p>
📅 Published: 2016-11-24
🔗 Source: CrossRef