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Category: robotics/AI – Page 254

Seismic clues from Marsquakes suggest liquid water and life potential beneath the surface

Are subterranean lifeforms viable on Mars? A new interpretation of Martian seismic data by scientists Ikuo Katayama of Hiroshima University and Yuya Akamatsu of Research Institute for Marine Geodynamics suggests the presence of water below the surface of Mars. “If liquid water exists on Mars,” Katayama says, “the presence of microbial activity” is possible.

This analysis is based on seismic data from SEIS (Seismic Experiment for the Interior Structure), deployed from NASA’s InSight lander that landed on Mars in 2018. This robotic lander is unique because it was able to use its robotic arm to place a seismometer on the surface of Mars. The SEIS instrument, which contains the seismometer, uses the seismic waves naturally generated on Mars from Marsquakes or meteorite impacts to scan the planet’s interior.

When a Marsquake or meteorite impact occurs on Mars, SEIS can read the energy emitted as P-waves, S-waves, and surface waves to create an image of the planet’s interior.

Is AI already conscious? How would we know?

Is AI already conscious and sentient? How would you know if it was? Join me as I dive into the world of testing consciousness and AI — does it matter in the end for how we use AI?

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Meters closer, miles faster: A novel cryogenic in-memory computing scheme to bridge AI with quantum computing

Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing—both physically and technologically.

Led by Prof. Shao Qiming, Assistant Professor at the Department of Electronic and Computer Engineering, the research team has developed a new computing scheme that works at extremely low temperatures. As a critical advancement in quantum computing, it can significantly reduce latency between artificial intelligence (AI) agents and quantum processors while boosting energy efficiency. The solution was made possible by utilizing a special technology known as magnetic topological insulator Hall-bar devices.

This latest invention addresses a major challenge concerning the operational environment and hardware requirements of quantum computers, amid growing interest in the amalgamation of quantum computing—widely seen as the future of high-speed and high-efficiency computing, with artificial intelligence—a fast-evolving technology.

Researchers unveil unidirectional light focusing using diffractive optics

Researchers at the University of California, Los Angeles (UCLA) have unveiled a new optical technology that enables precise focusing of light—only in one direction. This novel unidirectional focusing design uses structured diffractive layers that are optimized using deep learning to transmit light efficiently in the forward direction of operation while effectively suppressing unwanted backward focusing of light.

The findings are published in the journal Advanced Optical Materials. This innovation offers a compact and broadband solution for the unidirectional delivery of radiation with significant potential for applications in security, defense, and .

Controlling asymmetric light propagation—where light preferentially travels in one direction while being blocked or scattered in the opposite direction—has been a longstanding need in optical systems. Traditional solutions often rely on specialized material properties or nonlinear materials, which require relatively complex and costly fabrication methods, bulky hardware, and high-power laser sources.

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