To the editor: I was dismayed by the article on Google DeepMind's computer. It was further evidence of how the media's naivete regarding the term "artificial intelligence," or AI, has totally corrupted its meaning. DeepMind, as well as IBM's legendary Jeopardy super-champion Watson and numerous other cited AI systems all have the intelligence of a rock. The intelligence of these systems lies in the human intelligence of the programmers that created the systems, not in the systems themselves. The generally accepted test for true AI is the Lovelace test, which was created, in partnership, by David Ferrucci, who not incidentally was the head of IBM's Watson development team.

Deep learning is a field within machine learning which uses algorithms that contain many layers of processing and transformations. A RNN makes predictions based on sequential data. When a RNN is trained on sequences of words, it learns to represent each word as a high dimensional vector which encodes the model's understanding of that word. By projecting these high dimensional vectors into a two dimensional space, it's possible to visualize their relationships and glean insights into the concepts that the model has learned. In the above visualization the position of the word is determined by the two dimensional projection of its word vector.

Proponents of automated cargo handling at U.S. ports have a rule: where megaships call, robots soon follow. So far, Southern California appears to be the destination of choice for both. Over the next decade, marine terminals at the Ports of Los Angeles and Long Beach are expected to lead the way in adopting robotic cargo-handling capabilities in response to the arrival of more supersize ships. Unloading and organizing tens of thousands of containers--and readying an equal number to ship back out--requires coordination on a scale that is best left to machines, said Ashebir Jacob, a port planner and engineer with Moffatt & Nichol, a maritime infrastructure advisory firm. "As we start to receive bigger and bigger vessels on the West Coast, [automation] becomes really critical," he said.

By now you've likely heard the story of Tay, Microsoft's social AI experiment that went from "friendly millennial girl" to genocidal misogynist in less than a day. While Tay promised to learn from her interactions with people online, Microsoft apparently hasn't learned anything from the countless headlines about how Twitter users like to talk to visible women – everything from gleefully anarchic trolling to threats and abuse – otherwise it would have seen this coming. At first, Tay's story seems like a fun one for anyone who's interested in cautionary sci-fi. What does it mean for the future of artificial intelligence if a bot can embody the worst aspects of digital culture after just 16 hours online? If any AI is given the vastness of human creation to study at lightning speed, will it inevitably turn evil?

Audi's autonomous cars are becoming quite the world travelers: Recall the much-ballyhooed first robotic drive from San Francisco to New York City, about a year ago. Impressive stuff, though honestly, humans can hold their own at pulling into a rest stop. I'm about to take on Robby, the autonomous RS7 sport sedan that's designed to rock a racetrack at speeds that would blister Google's cartoonish bubble car. If a human driver can't keep up, it occurs to me, then our obsolescence draws that much closer. Robby is looking cool and confident in the pits at Parcmotor Castelloli, near Barcelona.

Jaguar said when it unveiled its new F-Type SVR that the coupe could hit 200 mph, but Fast and Furious actress Michelle Rodriguez proved them wrong. In her hands, the F-Type SVR topped out at 201 mph, which was both the fastest the coupe has driven and the highest top speed she has achieved on her own. Previously, she says in the video, her personal top speed record was about 140 mph. Rodriguez and a professional driver riding shotgun took the orange coupe up past the magic 200-mph mark on a closed Nevada highway. While Rodriguez has a lengthy Hollywood resume, she is probably best known to car enthusiasts for her role as Leticia "Letty" Ortiz in the Fast and the Furious franchise, and she'll reprise the role in the Furious 8 installment that's being filmed right now.

The machine was born in a sandbox. Stumbling for meaning, its five parents watched as it learned the rules of the world around it. Everything is built of cubes, which can be climbed one at a time. There is light, and there is darkness. "Up" has a meaning different from "down."

QyFuse is an artificial intelligence domain technology that uses information sensed from complex situations to perform ongoing learning for decision making. Beginning with the physical integration of multiple sensors producing hundreds of parameters, it fuses these inputs into an overall integrated landscape which it then can analyze and make decisions on. QyFuse algorithms continuously analyze local data as well as data from other systems, in process of adaptive learning. QyFuse intelligent analysis produces continually evolving, customer-specific logic models that provide our systems with the highest level, situation-relevant decisions, a new level of user experiences and optimized operational efficiencies.

ML builds heavily on statistics. For example, when we train our machine to learn, we have to give it a statistically significant random sample as training data. If the training set is not random, we run the risk of the machine learning patterns that aren't actually there. And if the training set is too small (see law of large numbers), we won't learn enough and may even reach inaccurate conclusions. For example, attempting to predict company-wide satisfaction patterns based on data from upper management alone would likely be error-prone.

To me, photography is the simultaneous recognition, in a fraction of a second, of the significance of an event. As a child I waited anxiously for the arrival of each new issue of National Geographic Magazine. The magazine had amazing stories from around the world, but the stunningly beautiful photographs were more important to me. The colors, shadows and composition intrigued and wowed me, and there was a cohesion of visual arrangement and storytelling. This childhood fascination with photographs aroused in me a curiosity to understand the behavior, nuances and semantics embedded inside them.