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But behind that wave of unreliable garbage, some amazing features emerge from using AI models. Apple has the chance to depict itself as the adult in the room, a company committed to using AI for features that make its customers’ lives better–not competing to do the best unreproducible magic trick on stage.

In doing so, it risks being seen as dowdy and behind. But if Apple can see beyond the latest tech-industry hype cycle–and it’s generally good at doing that–it can bet on iPhone users being more interested in real features than impractical nonsense.

Historically, Apple has been a company with a very strong philosophy about new technologies: they should be applied to solving the problems of real people. Most tech companies have historically had this backward: they take delivery of some whizzy new technology fresh off a manufacturer’s conveyor belt and shove it into a product. The result tends to be products that are solutions desperately searching for problems.

As for how Hugging Face’s Le Robot team ended up collaborating with Pollen Robotics, Cadene told VentureBeat that it was a natural alliance born out of geographic proximity and overlapping areas of research interest.

“We closely follow Pollen Robotics work and are amazed by their robots,” Cadene wrote. “We were looking for humanoid robots. They were looking for end-to-end training software. So the collaboration between Pollen with their robot Reachy and Hugging Face with LeRobot was natural, especially [since] they are located two hours away from our [Le Robot] lab in Paris, so we just visited them for a few days.”

Pollen Robotics has a rich history of developing accessible and open-source technologies for real-world applications. The company began in 2013 with Poppy, what it says was the first 3D printed open-source humanoid robot, designed for research purposes.

Memphis may get most powerful super computer yet.

Memphis, Tennessee, may host the world’s largest supercomputer, the “Gigafactory of Compute.”:


The Memphis Shelby County Economic Development Growth Engine (EDGE), Tennessee Valley Authority (TVA), and governing authorities hold the key to finalizing the project. If approved, it would be the largest investment in Memphis history.

According to Memphis Mayor Paul Young, the city boasts “an ideal site, ripe for investment,” coupled with a skilled workforce that can “keep up with the pace required to land this transformational project, the Business Insider reported.

Collections of mobile, interacting objects—flocks of birds, colonies of bacterial, or teams of robots—can sometimes behave like solid materials, executing organized rotations or gliding coherently in one direction. But why such systems display one kind of collective organization rather than another has remained unclear. Now researchers have developed a theory that can predict the pattern most likely to emerge under specific conditions [1]. The theory, they hope, may be of use in designing living and artificial materials that can autonomously adapt to their environment.

An “active material” is any system made up of interacting objects able to move under their own power, such as animals, cells, or robots. In so-called active solids, a subset of active materials, strong cohesion between neighboring elements makes the collective act somewhat like a solid. Examples include clusters of certain cell types and networks of robots with rigid connections.

Active solids can display several kinds of collective, organized motion, says Claudio Hernández-López, a PhD student at the École Normale Supérieure and Sorbonne University in France. For example, researchers have observed both coherent rotations and coherent translations in collections of microbes from the phylum Placozoa. Existing theories, however, fail to explain pattern selection—why, if several patterns are possible, does one pattern of behavior emerge rather than another?