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The History of Artificial Intelligence

by Rockwell Anyoha Can Machines Think? In the first half of the 20th century, science fiction familiarized the world with the concept of artificially intelligent robots. It began with the “heartless” Tin man from the Wizard of Oz and continued with the humanoid robot that impersonated Maria in Metropolis. By the 1950s, we had a generation of scientists, mathematicians, and philosophers with the concept of … Continue reading The History of Artificial Intelligence

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Software Complementing Hardware: Artificial intelligence in the clinic

by Sherif Gerges figures by Olivia Foster Most of a physician’s working hours involve pattern recognition and high-level problem solving. Throughout his or her professional tenure, a dermatologist will analyze over two hundred thousand skin lesions, while a radiologist will look at millions of medical images. Yet becoming sufficiently proficient at diagnosing these images is no cakewalk: physicians spend decades building a mental reference database … Continue reading Software Complementing Hardware: Artificial intelligence in the clinic

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Psychosis, Dreams, and Memory in AI

by Henry Wilkin figures by Rebecca Clements The original dream of research in artificial intelligence was to understand what it is that makes us who we are. Because of this, artificial intelligence has always been close to cognitive science, even if the two have been somewhat far apart in practice. Functional AIs have tended to do best at quickly finding ‘good-enough’ approaches to problems that … Continue reading Psychosis, Dreams, and Memory in AI

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Building a Better Human: How scientists plan to merge man and machine to transcend human limitations

by Julia Nguyen figures by Alexandra Was What would you give for a brain chip that seamlessly translates any language into your native tongue? Or a retinal implant that lets you see in the dark? Or an implant that lets you record every single memory and experience in your life and replay it at any moment? This is all science fiction, but it may not … Continue reading Building a Better Human: How scientists plan to merge man and machine to transcend human limitations

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Self-driving Cars: The technology, risks and possibilities

by Tim Menke figures by Neal Akatsuka Imagine getting into your car in the morning, sipping your coffee and sitting back to relax while your car drives you to work. Then you remember to call a friend who you have not spoken to in a while, or you have a look at the amazing photos from your latest vacation. It is, of course, not a … Continue reading Self-driving Cars: The technology, risks and possibilities

Figure 1: Machine learning algorithms take behavior data from the parts of our lives that we make available on the internet to give us personalized suggestions.

Recommended For You: How machine learning helps you choose what to consume next

by Jennifer Wei figures by Jeep Veerasak Srisuknimit Ever wonder how music-streaming services such as Spotify and Pandora find songs that you like? Or how Facebook and Google find stories that are interesting to you? Many technology companies use machine learning algorithms to give personalized product suggestions; these algorithms can be found everywhere on the internet. One such algorithm may have even led you to … Continue reading Recommended For You: How machine learning helps you choose what to consume next

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Moon and Stars

If you look closely at this zebrafish embryo, you will notice bright spots that look like stars covering the entire body. The nuclei of each cell in this embryo has been labeled with a fluorescent protein so when you look at the nuclei under a microscope, they are resplendent. By labeling each individual nuclei, we can visualize changes occurring in each cell throughout development of … Continue reading Moon and Stars