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is coming anywhere near the Arrowverses upcoming Crisis on Infinite Earths crossover. But thats not to say that the series isnt in the midst of a universe-shattering crisis all its own. For the past few weeks, Titans has often felt as if it was lost at sea and unsure of where to go as it built toward a deadly confrontation between the Titans and Deathstroke. But after the big showdown came and went, Titans seemingly lost its focus and made the curious decision to scatter its characters to the wind at a point in the season where it doesnt make sense to b
stanley cup egin staking out new, disparate story arcs. The Deathstroke story isnt properly finished, of course, but theres also Dicks becoming Nightwing, the situation on Korys home planet, Conner and G
stanley tazas ar being hunted by Cadmus, and Dawn and Hanks ship issues to deal with. Also, Rachels been hanging out with a new group of homeless teens and unknowingly bringing demons to life in San Francisco! It was always clear that this season of Titans was going to be busy, but with just two episodes to go, it doesnt seem possible that the writers are going to be able to wrap things up in satisfying or interesting ways.
https://gizmodo/titans-is-really-leaning-into-white-savior-complexes-1839726820 Though Dicks been telling himself that getting purposefully thrown into prison i
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an artificial intelligence system that can fool human judges into thinking its a person when it comes to drawing unfamiliar letter-like characters. You can think of the experiment, detailed in the new issue of Science, as a kind of visual Turing Test. The software and a human are shown a new character鈥攕omething that looks like a letter, but isnt quite. You can see some examples in the image above. Then, they were both asked to produce subtle variations on character. In other tests, the human and computer were instead supplied with a series of unfamiliar characters and asked to produce a new one that fit with the batch
stanley cup . A team of human judges was then asked to work out which results were produced by computer, and which by humans. Across all the tasks, the judges could only identify the AIs efforts with about 50 percent accuracy鈥擳hats the same as chance. Think you can do better than the judges In the
stanley quencher image at the top, a panel of nine shapes was produced by either the AI or a human for each character. Can you identify which panel was generated by a machine The answers are at the bottom of the page. It may s
stanley website eem like a strange experiment, but it has some profound implications. Usually, you see, AI systems have to be trained on massive data sets before they can perform a task. Unlike computers, humans can carry out what the researchers refer to as one-shot learning with comparative ease. The researchers suggest that theyve created an AI that can do the same, using a techniq