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Researchers developed a new robot that could help us travel around black holes

The machine functions in curved spaces defying the laws of Earth.

The robot recreates the same environment found around black holes. It does so by moving in a curved space. It could one day allow us to further study black holes.

There is one constant on Earth and that is that when humans, animals, and machines move, they always push against something, whether it’s the ground, air, or water. This fact consists of the law of conservation momentum and was up to now undisputed.

Curved spaces provide new principles However, new research from the Georgia Institute of Technology has come along to showcase the opposite — when bodies exist in curved spaces, they can move without pushing against something. The new study was led by Zeb Rocklin, assistant professor in the School of Physics at Georgia Tech, and it saw the engineering of “a robot confined to a spherical surface with unprecedented levels of isolation from its environment, so that these curvature-induced effects would predominate,” according to a statement by the institution published on Monday.

Full Story:


The new machine defies the laws of physics to function in curved spaces.

Saving water with wireless technologies is possible — but there are challenges

Water is the most essential resource for life, for both humans and the crops we consume. Around the world, agriculture accounts for 70% of all freshwater use.

I study computers and information technology in the Purdue Polytechnic Institute and direct Purdue’s Environmental Networking Technology (ENT) Laboratory, where we tackle sustainability and environmental challenges with interdisciplinary research into the Agricultural Internet of Things, or Ag-IoT.

The Internet of Things is a network of objects equipped with sensors so they can receive and transmit data via the internet. Examples include wearable fitness devices, smart home thermostats and self-driving cars.

The Next Big Leap in Computing

For AI — reading and writing to memory is the biggest energy and time sink by far. A couple of new solution approaches here:


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Futureseek Daily Link Review; 15 August 2022

* FBL67: Jacob Ward – How AI Shapes Our Choices & Bad Habits * Future of funerals? Startup develops ‘holographic conversational video experience’ that allows mourners to have conversations with the dead * Police Used a Baby’s DNA to Investigate Its Father for a Crime.

* The Rise of the Worker Productivity Score * ‘Starbucks fired me for being three minutes late’ * Amazon starts selling private 5G, plants flag on pricing * We Need To Stop Cheerleading Change.

* Breaking Analysis Further defining Supercloud W/ tech leaders VMware, Snowflake, Databricks & others * Thriving in Uncertainty | Shashank Agarwal | TEDx * Why the Space Industry Needs New Role Models | Bianca Cefalo | TEDx.

Nvidia Sees a Metaverse Populated With Lifelike Chatbot Avatars

On Tuesday, the chip giant unveiled its Avatar Cloud Engine, a tool for building 3D models of speaking humans that Nvidia hopes will be the way we interact with computers and, perhaps, with other people in the metaverse.

The tool draws on Nvidia’s experience with 3D graphics and artificial intelligence technology 0, which has revolutionized how computers understand and communicate with natural language. Company Chief Executive Jensen Huang unveiled ACE in conjunction with the Siggraph computer graphics conference in Vancouver.

Advanced avatars such as those ACE could make possible are the next step in computer interaction. In the 3D digital realms that metaverse advocates like Meta and Nvidia hope we’ll all inhabit, a human-looking face could help us manage our investments, tour an apartment building or learn how to knit.

In simulation of how water freezes, artificial intelligence breaks the ice

A team based at Princeton University has accurately simulated the initial steps of ice formation by applying artificial intelligence (AI) to solving equations that govern the quantum behavior of individual atoms and molecules.

The resulting simulation describes how transition into solid ice with quantum accuracy. This level of accuracy, once thought unreachable due to the amount of computing power it would require, became possible when the researchers incorporated , a form of artificial intelligence, into their methods. The study was published in the journal Proceedings of the National Academy of Sciences.

“In a sense, this is like a dream come true,” said Roberto Car, Princeton’s Ralph W. *31 Dornte Professor in Chemistry, who co-pioneered the approach of simulating molecular behaviors based on the underlying quantum laws more than 35 years ago. “Our hope then was that eventually we would be able to study systems like this one, but it was not possible without further conceptual development, and that development came via a completely different field, that of artificial intelligence and data science.”

Humanoid Robotics For Amazon Automation | New Wearable AI Chip | New Machine Learning Math Model

Agility Robotics recently raised $150 million USD in part from Amazon to further develop its humanoid robot called “Digit” for logistics automation. New wearable, bendable, stretchable neuromorphic AI chip monitors health in real time. New machine learning model from MIT does college level math at a human level.

AI News Timestamps:
0:00 Humanoid Robot Worker For Amazon Automation.
3:00 New Wearable AI Chip.
5:08 New Machine Learning Math Model.

👉 Crypto AI News: https://www.youtube.com/c/CryptoAINews/videos.

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