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In an art world conquered by Artificial Intelligence, Claire takes a final stand against the new status quo.

A sci-fi short film created with the help of AI.

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For a recovering gamer like me, one of the most exciting applications of generative AI is dynamic dialogue. I’m not suggesting AI replace writers — goodness forbid. But as anyone who’s sunk hundreds of hours into an RPG can tell you, scripted NPC interactions get old fast.

There are a few startups prototyping AI tech to dynamically generate dialogue. But one of the more promising is Inworld, launched in 2021 by the founding team of API.AI, which developed tools for speech recognition and natural language understanding until its acquisition by Google in 2016. (API.AI later became Dialogflow, Google’s flagship conversational AI design platform.)

Inworld claims to use “multiple” machine learning models to “mimic the full range of human communication.” That’s promising a lot in the context of games, but the startup makes the case that, by allowing developers to link its dialog-and voice-generating tools to animation and rigging systems within popular game engines, including 3D environments, it can help deliver more lifelike and immersive gaming experiences.

All navigations reported in Fig. 2 were performed autonomously within 150 s and without intraoperative imaging. Specifically, each navigation was performed according to the pre-determined optimal actuation fields and supervised in real time by intraoperative localization. Therefore, the set of complex navigations performed by the magnetic tentacle was possible without the need for exposure to radiation-based imaging. In all cases, the soft magnetic tentacle is shown to conform by design to the anatomy thanks to its low stiffness, optimal magnetization profile and full-shape control. Compared to a stiff catheter, the non-disruptive navigation achieved by the magnetic tentacle can improve the reliability of registration with pre-operative imaging to enhance both navigation and targeting. Moreover, compared to using multiple catheters with different pre-bent tips, the optimization approach used for the magnetic tentacle design determines a single magnetization profile specific to the patient’s anatomy that can navigate the full range of possible pathways illustrated in Fig. 2. Supplementary Movies S1 and S2 report all the experiments. Supplementary Movie S1 shows the online tracking capabilities of the proposed platform.

In Table 1, we report the results of the localization for four different scenarios. These cases highlight diverse navigations in the left and right bronchi. The error is referred to as the percentage of tentacles outside the anatomy. This was computed by intersecting the shape of the catheter, as predicted by the FBG sensor, and the anatomical mesh grid extracted from the CT scan. The portion of the tentacle within the anatomy was measured by using “inpolyhedron” function in MATLAB. In Supplementary Movie S1, this is highlighted in blue, while the section of the tentacle outside the anatomy is marked in red. The error in Table 1 was computed using the equation.

James Cameron has no intention of using artificial intelligence to write a film script. In a new interview with CTV News, the Oscar winner expressed doubt over AI bots being able to write “a good story.”

According to Cameron: “I just don’t personally believe that a disembodied mind that’s just regurgitating what other embodied minds have said — about the life that they’ve had, about love, about lying, about fear, about mortality — and just put it all together into a word salad and then regurgitate it…I don’t believe that’s ever going to have something that’s going to move an audience. You have to be human to write that. I don’t know anyone that’s even thinking about having AI write a screenplay.”

https://youtube.com/watch?v=1131xTaVo8A&feature=share

1984 is a 1956 British black-and-white science fiction film, based on the 1948 novel Nineteen Eighty-Four by George Orwell, depicting a totalitarian future of a dystopian society.

This is the first film adaptation of the story, directed by Michael Anderson and starring Edmond O’Brien as protagonist Winston Smith, and featuring Donald Pleasence, Jan Sterling, and Michael Redgrave.

In 1954, Peter Cushing and André Morell starred in a BBC-TV made-for-TV adaptation which was extremely popular with British audiences, leading to the production of the 1956 film version. Donald Pleasence had also appeared in the BBC television version, playing the character of Syme, which for the film was amalgamated with that of Parsons. The script was co-written by William Templeton, who had previously adapted the novel for the US Studio One TV series in 1953.

For the US market, 1984 was distributed in 1956 as a double feature with another British science fiction film, The Gamma People.

Clip taken from my conversation with Professor Dean Rickles. Full episode: https://www.youtube.com/watch?v=mGIsZW2kgXI

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Are back holes related to dark matter? Do the observations of black holes by LIGO hint at a signature of quantum gravity? Can we find evidence of black holes from a previous universe?

In 2019 second place in the Buchalter Cosmology Prize was awarded to two of the speakers you will see in this film which explores some of the above themes. We filmed this at the Loop Quantum Gravity Conference in 2019 and plan to make a follow up film exploring the latest ideas in the field.

Look out for the optical illusion around 8:12–8:25.