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Category: robotics/AI – Page 1157

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

For decades, enterprises have jury-rigged software designed for structured data when trying to solve unstructured, text-based data problems. Although these solutions performed poorly, there was nothing else. Recently, though, machine learning (ML) has improved significantly at understanding natural language.

Unsurprisingly, Silicon Valley is in a mad dash to build market-leading offerings for this new opportunity. Khosla Ventures thinks natural language processing (NLP) is the most important technology trend of the next five years. If the 2000s were about becoming a big data-enabled enterprise, and the 2010s were about becoming a data science-enabled enterprise — then the 2020s are about becoming a natural language-enabled enterprise.

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Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

Over the last 10 years, neural networks have taken a giant leap from recognizing simple visual objects to creating coherent texts and photorealistic 3D renders. As computer graphics get more sophisticated, neural networks help automate a significant part of the workflow. The market demands new, efficient solutions for creating 3D images to fill the hyper-realistic space of the metaverse.

But what technologies will we use to construct this space, and will artificial intelligence help us?

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The future of neural network computing could be a little soggier than we were expecting.

A team of physicists has successfully developed an ionic circuit – a processor based on the movements of charged atoms and molecules in an aqueous solution, rather than electrons in a solid semiconductor.

Since this is closer to the way the brain transports information, they say, their device could be the next step forward in brain-like computing.

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Juncal Arbelaiz Mugica is a native of Spain, where octopus is a common menu item. However, Arbelaiz appreciates octopus and similar creatures in a different way, with her research into soft-robotics theory.

More than half of an octopus’ nerves are distributed through its eight arms, each of which has some degree of autonomy. This distributed sensing and information processing system intrigued Arbelaiz, who is researching how to design decentralized intelligence for human-made systems with embedded sensing and computation. At MIT, Arbelaiz is an applied math student who is working on the fundamentals of optimal distributed control and estimation in the final weeks before completing her PhD this fall.

She finds inspiration in the biological intelligence of invertebrates such as octopus and jellyfish, with the ultimate goal of designing novel control strategies for flexible “soft” robots that could be used in tight or delicate surroundings, such as a surgical tool or for search-and-rescue missions.

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The past may be a fixed and immutable point, but with the help of machine learning, the future can at times be more easily divined.

Using a new type of machine learning method called next generation reservoir computing, researchers at The Ohio State University have recently found a new way to predict the behavior of spatiotemporal chaotic systems—such as changes in Earth’s weather—that are particularly complex for scientists to forecast.

The study, published today in the journal Chaos: An Interdisciplinary Journal of Nonlinear Science, utilizes a new and highly that, when combined with next generation reservoir computing, can learn spatiotemporal chaotic systems in a fraction of the time of other machine learning algorithms.

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Once the first artificial super intelligence is created it will help us recursively improve ourselves and then the post human millennium will begin.

Thinking this will prevent war, the US government gives an impenetrable supercomputer total control over launching nuclear missiles. But what the computer does with the power is unimaginable to its creators.

http://www.imdb.com/title/tt0064177/combined

Continue reading “Michel Colombier — Colossus: The Forbin Project OST (1970) (bootleg)” | >

Miso Robotics company creates automated tech that assists + empowers commercial chefs to make food consistently and perfectly — while saving waste + cost through efficiency and precision.

The AI automated food prep robotic system named Flippy is currently being tested + implemented in the kitchens of top global brand restaurants. Miso Robotics has also innovated the world’s first point-of-sale integrated automatic beverage dispenser — named Sippy. All of the Miso Robotics mechanical systems operate on their Miso AI software platform.

The featurette below shows Flippy’s surprising capabilities. You can also see the Sippy’s novel cup-sealing method, designed to save the planet from millions of pounds of plastic lid waste.

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The big surprise at the initial Tesla AI Day in 2021 was Tesla’s plan for an actual human-like, or “humanoid,” robot. (Though, our own Chanan Bos did predict that type of product.) Some basic details were presented, and a human in a robot costume danced around a bit.

While Tesla’s Full Self Driving (FSD) has been slow to reach a convincing level of autonomy, I think the potential for Tesla to capitalize on the AI it is developing in the form of a humanoid robot is tremendous.

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