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Do humans really have to go into space?


Artificial intelligence has been making waves in recent years, enabling us to solve problems faster than traditional computing could ever allow. Recently, for example, Google’s artificial intelligence subsidiary DeepMind developed AlphaFold2, a program which solved the protein-folding problem. This is a problem which has had baffled scientists for 50 years.

Advances in AI have allowed us to make progress in all kinds of disciplines – and these are not limited to applications on this planet. From designing missions to clearing Earth’s orbit of junk, here are a few ways artificial intelligence can help us venture further in space.

A new AI model that harnesses the power of the world’s fastest supercomputer, Fugaku, can rapidly predict tsunami flooding in coastal areas before the tsunami reaches land.

The development of the new technology was announced as part of a joint project between the International Research Institute of Disaster Science (IREDeS) at Tohoku University, the Earthquake Research Institute at the University of Tokyo, and Fujitsu Laboratories.

The 2011 Great East Japan Earthquake and subsequent tsunami highlighted the shortcomings in disaster mitigation and the need to utilize information for efficient and safe evacuations.

If you want to build a fully functional nanosized robot, you need to incorporate a host of capabilities, from complicated electronic circuits and photovoltaics to sensors and antennas.

But just as importantly, if you want your robot to move, you need it to be able to bend.

Cornell researchers have created micron-sized shape memory actuators that enable atomically thin two-dimensional materials to fold themselves into 3D configurations. All they require is a quick jolt of voltage. And once the material is bent, it holds its shape—even after the voltage is removed.

Today on the Science Talk podcast, Noam Slonim speaks to Scientific American about an impressive feat of computer engineering: an AI-powered autonomous system that can engage in complex debate with humans over issues ranging from subsidizing preschool and the merit of space exploration to the pros and cons of genetic engineering.

In a new Nature paper, Slonim and colleagues show that across 80 debate topics, Project Debater’s computational argument technology has performed very decently—with a human audience being the judge of that. “However, it is still somewhat inferior on average to the results obtained by expert human debaters,” says Slonim.

In a 2019 San Francisco showcase, its first public debut, the system went head to head with expert debater Harish Natarajan.

A unique — details are a bit sketch 😉 looks amazing tho!

Requirements:

Human; all nationalities accepted.
Be willing to relocate to Mars.
Previous SMS experience working around black holes.
Hands-on experience repairing or replacing broken parts on machinary and/or colleagues.
A Can Do Attitude.
The ability to work alone and part of an android team with minimal supervision and zero compliance to logic.
Available for travel to different planets on a regular basis.
Dangerous Goods or Hazardous Materials Recognition Training preferred but not necessary. OTJ will be provided. Please ensure your tetanus vaccine is up-to-date!


GUANGZHOU, China — Baidu has raised money for its artificial intelligence (AI) semiconductor business at a valuation of $2 billion, a person familiar with the matter told CNBC.

It comes as the Chinese search giant looks to diversify its revenue streams.

The funding round was led by CPE, a Chinese asset management and private equity firm, the person said. Venture capital companies IDG and Legend Capital were also involved. A fund under Chinese investment company Oriza Holdings also participated in the round.