Lifeboat Foundation

Gollum in “The Lord of the Rings,” Thanos in the “Avengers,” Snoke in “Star Wars,” the Na’vi in “Avatar”—we have all experienced the wonders of motion-capture, a cinema technique that tracks an actor’s movements and translates them into computer animation to create a moving, emoting—and maybe one day Oscar-winning—digital character.

But what many might not realize is that motion capture isn’t limited to the big screen, but extends into science. Behavioral scientists have been developing and using similar tools to study and analyze the posture and movement of animals under a variety of conditions. But motion-capture approaches also require that the subject wears a complex suit with markers that let the computer “know” where each part of the body is in three-dimensional space. That might be okay for a professional actor, but animals tend to resist dressing up.

To solve the problem, scientists have begun combining motion-capture with deep learning, a method that lets a computer essentially teach itself how to optimize performing a task, e.g., recognizing a specific “key-point” in videos. The idea is to teach the computer to track and even predict the movements or posture of an animal without the need for motion capture markers.

By using a stimulated Brillouin scattering laser in a strontium-ion optical clock instead of the usual bulk-cavity-stabilized laser, the need for vacuum is removed and resonator volume is substantially reduced.

Health experts have speculative guesses but no answers for what’s causing it.

Scientists reassemble a frog’s living cells into robotic devices — with no electronics required.

A methodology that utilizes measurements in the variation of flux from cosmic muons (heavy cousins of the electron)—called archaeological muography—detected evidence for a possible second entrance and hidden corridor in the Great Pyramid of Giza (the largest of the Pyramids of Giza). As well, thermal imaging have revealed perplexing thermal anomalies in the Great Pyramid. Several explanations were put forward to explain the cause of the anomalies, but one particularly suggestive explanation was that it is due to increased air circulation caused by a hidden corridor or chamber — corroborating similar findings using muonic radiographic analysis.

There is also the fact that privacy crusader Max Schrems undercut Apple’s holier-than-thou privacy image last month when his digital rights group Noyb targeted the tech giant in Germany and Spain, claiming that Apple’s “Identifier for Advertisers” (IDFA) tracking ID, which is automatically generated on every iPhone during setup, allows Apple, app makers and ad networks to follow an individual user’s activities and use that data to show them ads targeted at their interests. Apple has said those claims are “factually inaccurate”.

Fundamentally though, the underlying message of Federighi’s keynote today was clear: Apple is not budging on its new privacy standards, they will come at the start of 2021, and it will play hardball with other tech giants if necessary, at least in certain markets.

Continue reading “Apple fires warning shot at Facebook and Google on privacy, pledges fight against ‘data-industrial complex’” »

Not a great look.

A wind turbine shaped like a tree! 😃

This nature-inspired wind turbine is designed like a tree to silently generate green energy using its micro-turbine leaves. (Follow Tech That Matters for more.)

Credit: New World Wind