Lifeboat Foundation

Meta’s new tactile-sensing skin could allow robots to “feel” in a new way, which will somehow make the metaverse more life-like.

Sabine Hossenfelder, Anil Seth, Massimo Pigliucci & Anders Sandberg discuss whether humanity is stuck in the matrix.

If you enjoy this video check out more content on the mind, reality and reason from the world’s biggest speakers at https://iai.tv/debates-and-talks?channel=philosophy%3Amind-a…the-matrix.

Continue reading “Does reality exist? | Anil Seth, Sabine Hossenfelder, Massimo Pigliucci & Anders Sandberg” »

Thanks to this new category of algorithms that has proved its power of mimicking human skills just by learning through examples. Deep learning is a technology representing the next era of machine learning. Algorithms used in machine learning are created by programmers and they hold the responsibility for learning through data. Decisions are made based on such data.

Some of the AI experts say, t here will a shift in AI trends. For instance, the late 1990s and early 2000s saw the rise of machine learning. Neural networks gained its popularity in the early 2010s, and growth in reinforcement came into light recently.

Well, these are just a couple of caveats we’re experienced throughout the past years.

Living coral reefs consist of rigid porous “skeletons” inhabited by the tiny coral polyps that built them. A new research project aims to restore damaged reefs faster than ever, utilizing 3D-printed skeletons made of the same material as the real thing.

First of all, there have been other projects that attempted to encourage the regrowth of coral by placing artificial skeletons on existing reefs. In most cases, though, those skeletons were made of materials such as concrete or polymers.

This means that waterborne coral polyps arriving at the reef have had to secrete calcium carbonate onto the structures, in order to “make them their own.” Given that some corals grow at a rate of just a few millimeters per year, it can take quite a long time to rebuild reefs in this fashion.

Australian researchers have developed disruptive technology allowing autonomous vehicles to track running pedestrians hidden behind buildings, and cyclists obscured by larger cars, trucks, and buses.

The autonomous vehicle uses game changing technology that allows it to “see” the world around it, including using X-ray style vision that penetrates through to pedestrians in blind spots and to detect cyclists obscured by fast-moving vehicles.

The iMOVE Cooperative Research Centre-funded project collaborating with the University of Sydney’s Australian Centre for Field Robotics and Australian connected vehicle solutions company Cohda Wireless has just released its new findings in a final report following three years of research and development.

#eldddir #eldddir_space #eldddir_homo #eldddir_future #eldddir_tech #eldddir_jupiter #eldddir_rockets.

The big question that may be on many viewers’ minds is whether the robots are truly navigating the course on their own—making real-time decisions about how high to jump or how far to extend a foot—or if they’re pre-programmed to execute each motion according to a detailed map of the course.

As engineers explain in a second new video and accompanying blog post, it’s a combination of both.

Continue reading “Watch Boston Dynamics’ Atlas Robot Crush a New Parkour Course” »

Fighting The Battle Against Biological Aging — Dr. Eric Verdin MD, President & CEO, Buck Institute for Research on Aging.

Dr. Eric Verdin, MD (https://www.buckinstitute.org/lab/verdin-lab/) is President and Chief Executive Officer of the Buck Institute for Research on Aging, as well as Professor of Medicine at University of California, San Francisco (https://bms.ucsf.edu/people/eric-verdin-md).

Continue reading “Dr. Eric Verdin, MD — President and Chief Executive Officer — Buck Institute for Research on Aging” »

One and a half minutes. That’s how long the clip showing the Starbase facility in Texas, posted by SpaceX on Monday, is, but more than enough time for most of us to get a glimpse of how the not-so-distant future might look like.