The brilliant minds at Google’s sister-company Deepmind are at it again. This time it appears they’ve developed a system by which driverless cars can navigate the same way humans do: by following directions.
;A long time ago, before the millennials were born, people had to drive in their cars without any form of GPS navigation. If you wanted to go some place new you used a paper map – they were like offline screenshots of a Google Maps image. Or someone gave you a list of directions. Read More
Tag Archives: Human
AI and Neuroscience: A virtuous circle
Recent progress in AI has been remarkable. Artificial systems now outperform expert humans at Atari video games, the ancient board game Go, and high-stakes matches of heads-up poker. They can also produce handwriting and speech indistinguishable from those of humans, translate between multiple languages and even reformat your holiday snaps in the style of Van Goghmasterpieces.
These advances are attributed to several factors, including the application of new statistical approaches and the increased processing power of computers. But in a recent Perspective in the journal Neuron, we argue that one often overlooked contribution is the use of ideas from experimental and theoretical neuroscience. Read More
Neuroscience-Inspired Artificial Intelligence
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent times, however, communication and collaboration between the two fields has become less commonplace. In this article, we argue that better understanding biological brains could play a vital role in building intelligent machines. We survey historical interactions between the AI and neuroscience fields and emphasize current advances in AI that have been inspired by the study of neural computation in humans and other animals. We conclude by highlighting shared themes that may be key for advancing future research in both fields. Read More
Contextual AI: The next frontier of artificial intelligence
These four principles form the building blocks of a successful relationship between humans and AI. Read More
AI model predicts where the brain will process language
Artificial neural networks have been used to predict how different areas in the brain respond to specific words, with greater accuracy than ever before according to neuroscientists at University of Texas at Austin. Read More
Trained neural nets perform much like humans on classic psychological tests
Neural networks were inspired by the human brain. Now AI researchers have shown that they perceive the world in similar ways. Read More
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