Lifeboat Foundation

SUMMARY Researchers at the George Washington University, together with researchers at the University of California, Los Angeles, and the deep-tech venture startup Optelligence LLC, have developed an optical convolutional neural network accelerator capable of processing large amounts of information, on the order of petabytes, per second. This innovation, which harnesses the massive parallelism of light, heralds a new era of optical signal processing for machine learning with numerous applications, including in self-driving cars, 5G networks, data-centers, biomedical diagnostics, data-security and more.

THE SITUATION Global demand for machine learning hardware is dramatically outpacing current computing power supplies. State-of-the-art electronic hardware, such as graphics processing units and tensor processing unit accelerators, help mitigate this, but are intrinsically challenged by serial data processing that requires iterative data processing and encounters delays from wiring and circuit constraints. Optical alternatives to electronic hardware could help speed up machine learning processes by simplifying the way information is processed in a non-iterative way. However, photonic-based machine learning is typically limited by the number of components that can be placed on photonic integrated circuits, limiting the interconnectivity, while free-space spatial-light-modulators are restricted to slow programming speeds.

THE SOLUTION To achieve a breakthrough in this optical machine learning system, the researchers replaced spatial light modulators with digital mirror-based technology, thus developing a system over 100 times faster. The non-iterative timing of this processor, in combination with rapid programmability and massive parallelization, enables this optical machine learning system to outperform even the top-of-the-line graphics processing units by over one order of magnitude, with room for further optimization beyond the initial prototype.

Download/Stream Lost : http://lprk.co/lost.

Video Credits:
Directors: Maciej Kuciara, pplpleasr.

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Are we dabbling in dangerous waters by advancing artificial intelligence? As we continue to push the boundaries of technology and artificial intelligence, it’s important to consider the potential consequences. In this video, we’ll explore the dangers of conscious AI as seen through the lens of Musk’s warnings and proposed solutions. In today’s video we look at Elon Musk on the Dangers of Artificial Intelligence…Keep watching to see artificial intelligence and elon musk artificial intelligence and of course elon musk on artificial intelligence and the steep dangers of artificial intelligence and to be aware of artificial intelligence and elon musk on AI and the dangers of artificial intelligence and artificial intelligence is dangerous and of course artificial general intelligence and artificial intelligence documentary and the artificial intelligence danger and sophia the robot artificial intelligence and the future of artificial intelligence Subscribe for Artificial Intelligence, Data Science, and Tech. Inspired by Tech Vision, Moconomy, and Digital Engine. Inspired by Experts say she will end humanity. Here’s the fix, with Elon Musk, ChatGPT, AI robots. Inspired by Japanese Killer Robots Murder 29 Scientists | Elon Musk Warned Us About ThisInspired by Elon Musk Released Terrifying Details About The Tesla AI BotInspired by Elon Musk’s Last Warning About Artificial IntelligenceInspired by “I Tried To Warn You” — Elon Musk LAST WARNING (2023)Also check out: https://youtu.be/ywST4J656kQOn Technology Titan we will go through Artificial Intelligence, Crypto, and Technology. Stay tuned for the latest AI, SpaceX, and Cyber Security. Click here to subscribe: bit.ly/3WvpXbT

Welcome to the first issue of Rushing Robotics with brief overviews of each section.

https://www.youtube.com/watch?v=e5BpjzCsYfk&t=3s

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A demo could come as soon as March.

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David Guetta is bringing the topic of artificial intelligence to the forefront after proving just how well the new technology works at replicating the voices of pop artists.

Last week, the French DJ and producer shared a video of him playing a song during one of his sets that used AI technology to add the “voice” of Eminem to one of his songs.

Continue reading “David Guetta Replicated Eminem’s Voice in a Song Using Artificial Intelligence” »

The Research Brief is a short take about interesting academic work.

A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my colleagues and me.

The new material is a type of architected material, which gets its properties mainly from the geometry and specific traits of its design rather than what it is made out of. Take hook-and-loop fabric closures like Velcro, for example. It doesn’t matter whether it is made from cotton, plastic or any other substance. As long as one side is a fabric with stiff hooks and the other side has fluffy loops, the material will have the sticky properties of Velcro.

Earlier this year, Google fired Blake Lemoine, for claiming that the company’s chatbot was a self aware person. While the claim was derided, the belief that one day AI will become conscious is widespread and, according to a recent survey, held by 79% of experts. But many claim this is a fundamental error. While machines are becoming ever more capable and intelligent we still have no idea how a machine could create consciousness nor are neuroscientists able to provide an explanation for how the human brain does so.

Should we accept that consciousness arises in biological beings and that AI just isn’t made of the ‘right stuff’? Or, is it possible that a computer that observes, interacts, and represents its own internal state to itself might also give rise to consciousness? Then again, is the puzzle deeper still on the grounds that we have no means of determining whether an intelligent machine, an organism or even a person other than ourselves is conscious or not?

Legendary anti-reality theorist Donald Hoffman, fearless computer scientist and philosopher Bernardo Kastrup and distinguished AI ethicist and philosopher Susan Schneider lock horns over the possibility of AI consciousness. Theories of Everything’s Curt Jaimungal hosts.