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The Rise of Sad-Voice Sci-Fi

WIRED

This doesn't always necessarily mean grand shots of spaceships or far-flung planets. For every lavish spectacle like Dune, there are many more smaller-scale sci-fi movies with modest or nonexistent special effects budgets. These movies must use other methods to flesh out their futuristic visions. An atmospheric soundtrack can go far to create a thrilling mood. Clever set design, like the homebrewed time machine in Primer or the quantum-computer cables strung through the woods in Lapsis, can immerse audiences in a new world without cutting-edge CGI.


Robots are creating images and telling jokes. 5 things to know about foundation models and โ€ฆ

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Machine learning systems called DALL-E, GPT and PaLM are making a โ€ฆ it be the end of human creativity and the start of a deep-fake nightmare?


Australian AI captures image of Tango satellite โ€“ Cosmos Magazine

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The winner? The Adelaide-based Australian Institute for Machine Learning (AIML). An artificial intelligence competition organised by the Europeanย โ€ฆ


VMRay Unveils Advanced Machine Learning Capabilities to โ€“ GlobeNewswire

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VMRay introduces Machine Learning capabilities to its advanced threat detection technologies that go beyond the sandbox and make it possible toย โ€ฆ


Machine learning to create some of the new mathematical conjectures โ€“ Techiexpert.com

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At DeepMind, a UK-based artificial intelligence laboratory, researchers in collaboration with mathematicians at the University of Oxford, UK, andย โ€ฆ


Turing Institute panel discussion on interpretability, safety and security in AI

AIHub

A few months ago, the Alan Turing Institute played host to a conference on interpretability, safety, and security in AI. This public event brought together leading academics, industrialists, policy makers, and journalists to foster conversations with the wider public about the merits and risks of artificial intelligence technology. The talks are now all available to watch on the Institute's YouTube channel. As part of the conference, participants were treated to a lively panel debate, chaired by Hannah Fry, which saw Isaac Kohane, Aleksander Madry, Cynthia Rudin, and Manuela Veloso discuss a variety of topics. Amongst other things, they talked about breakthroughs in their respective fields, holding AI systems (and their creators) accountable, complicated decision making, interpretability, and misinformation.


O4S to upgrade its tech stack with AI, Machine Learning to solve supply chain issues

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O4S is investing in developing strong capabilities to provide AI and Machine Learning capabilities to its clients in order to help them make theย โ€ฆ


Art in the Age of Machine Learning

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An examination of machine learning art and its practice in new media art and music.Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.


Produce More Powerful Content With These 10 Rules And The Power Of A.I.

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Effective marketing demands the skills to customize, humanize and repurpose content at scale using ... [ ] AI. Today, 82% of marketers actively use content marketing. Because it not only helps build brands and communicate both value propositions and brand values, it cultivates trust and converts interest into sales. High-quality content--and lots of it--is not only good for business, it's essential. As content marketing guru Gary Vaynerchuck (Gary Vee) predicted, this decade has become a game of volume and targeting.


iMovie 3.0 for the iPhone and iPad makes it easier to create your first video

Engadget

While Apple's iMovie software has always been a fairly powerful piece of movie-editing software, its main appeal is that it's a free and simple way to start making your own videos. But iMovie for the iPhone and iPad offers surprisingly little in the way of direction when you open it -- it's up to the user to figure out how to structure their movie. Apple is changing that significantly today with iMovie 3.0 for iOS and iPadOS, a free download that's available now. The software features two new creation modes, Magic Movie and Storyboards, to help people build videos for the first time. Magic Movie automates a lot of the video creation process while still leaving room for plenty of customization, assuming you want to dig into the details.