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Researchers led by the University of California San Diego have developed a new model that trains four-legged robots to see more clearly in 3D. The advance enabled a robot to autonomously cross challenging terrain with ease—including stairs, rocky ground and gap-filled paths—while clearing obstacles in its way.

The researchers will present their work at the 2023 Conference on Computer Vision and Pattern Recognition (CVPR), which will take place from June 18 to 22 in Vancouver, Canada.

“By providing the robot with a better understanding of its surroundings in 3D, it can be deployed in more complex environments in the real world,” said study senior author Xiaolong Wang, a professor of electrical and computer engineering at the UC San Diego Jacobs School of Engineering.

The NOMAD Laboratory researchers have recently shed light on fundamental microscopic mechanisms that can help with tailoring materials for heat insulation. This development advances the ongoing efforts to enhance energy efficiency and sustainability.

The role of heat transport is crucial in various scientific and , such as catalysis, turbine technologies, and thermoelectric heat converters that convert into electricity.

Particularly in the context of energy conservation and the development of sustainable technologies, materials with high thermal insulation capabilities are of utmost importance. These materials make it possible to retain and utilize heat that would otherwise go to waste. Therefore, improving the design of highly insulating materials is a key research objective in enabling more energy-efficient applications.

So I commented on an IKEA story about them using employees to assist in interior design. I commented, “Can they use AI”, of course knowing people can. AI can augment a regular homeowner into an interior designer.

Here is a list of some helpful AI interior design tools for homeowners who would like to avoid interior designers and decorate their homes on their own.

Home owners, nowadays, spend a sizeable amount of their savings on decorating their homes. Nevertheless, many of them remain averse to hiring interior decorators, as they believe it to be a costly affair. Hence, they take things into their own hands, when it comes to deciding the design of their dream abodes. Today, there are many Artificial Intelligence (AI)-powered interior design apps and software that can help the home owners with the interior designing job. Moreover, home owners do not need to be tech-savvy to use these tools.

A nice Tesla Video. Hope it’s not censored.


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Tesla Giga Shanghai Production Speed 38 Seconds, Changes Everything!
Huge thank to:
CCTV https://www.youtube.com/c/cctv.
wu wa https://www.youtube.com/c/%E7%83%8F%E7%93%A6
Jason Yang https://www.youtube.com/c/JasonYang.
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Tesla’s Giga Shanghai is a trump card for the EV revolution of Tesla.
Recently, Elon Musk revealed how fast Giga Shanghai could produce a car in just 38 seconds.
So how did that change everything?
The first video includes a ten-minute and five-minute segment of the Model Y leaving the workshop.
And during the 10-minute segment, 16 new cars were completed, which would be 38 seconds per car on average.
7 cars were completed in the following 5-minute segment, translating to an average of 44 seconds per car.

We will not count it to double-check, but the peak rate may be amazingly high. Of course, not necessarily constant and simultaneous for both models.

Daniel Lidar, the Viterbi Professor of Engineering at USC and Director of the USC Center for Quantum Information Science & Technology, and first author Dr. Bibek Pokharel, a Research Scientist at IBM Quantum, achieved this quantum speedup advantage in the context of a “bitstring guessing game.”

By effectively mitigating the errors often encountered at this level, they have successfully managed bitstrings of up to 26 bits long, significantly larger than previously possible. (For context, a bit refers to a binary number that can either be a zero or a one).

Quantum computers promise to solve certain problems with an advantage that increases as the problems increase in complexity. However, they are also highly prone to errors, or noise. The challenge, says Lidar, is “to obtain an advantage in the real world where today’s quantum computers are still ‘noisy.’”.