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Gaussian processes provide a new path toward quantum machine learning

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then, that researchers wanted to transfer this same power to quantum computers—but all attempts to do so brought unforeseen problems.

Recently, however, a team at Los Alamos National Laboratory developed a new way to bring these same to quantum computers by leveraging something called the Gaussian process.

“Our goal for this project was to see if we could prove that genuine quantum Gaussian processes exist,” said Marco Cerezo, the Los Alamos team’s lead scientist. “Such a result would spur innovations and new forms of performing quantum .”

Ionic-electronic photodetector brings in-sensor vision closer to reality

In an advance at the intersection of neuromorphic engineering and photonics, researchers have developed an ionic-electronic photodetector that not only detects light but also performs in-sensor image processing, offering the potential to surpass some limitations of human vision—including color vision deficiencies.

Optimized cycle system recovers waste heat from fusion reactor

A research team led by Prof. Guo Bin from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has designed and optimized an organic Rankine cycle (ORC) system specifically for recovering low-grade waste heat from the steady-state Chinese Fusion Engineering Testing Reactor (CFETR) based on organic fluid R245fa, achieving enhanced thermal efficiency and reduced heat loss.

CFETR, a steady-state magnetic reactor, is a crucial step toward realizing commercial fusion energy. However, managing the large amount of low-grade waste heat produced by components such as the divertor and blanket remains a key challenge.

To solve the thermodynamic and heat integration issues, the researchers developed advanced simulation models using Engineering Equation Solver for cycle analysis and MATLAB-based LAMP modeling for dynamic system configuration. These tools enabled a comprehensive investigation and optimization of the ORC configuration, leading to significantly improved thermal performance.

Physicists Harness Light To Control Semiconductors in Trillionths of a Second

A peer-reviewed study reports the development of ultrafast modulation technology in nanoelectronics. Physicists from Bielefeld University and the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden) have introduced a new technique that uses ultrashort light pulses to manip

Microsoft: Outdated Office apps lose access to voice features in January

Microsoft announced that the transcription, dictation, and read aloud features will stop working in older versions of Office 365 applications in late January 2026.

Read aloud lets users hear documents and emails read back, transcription converts speech into text in real-time, and the dictation feature allows for voice-to-text input across Office applications.

The company advised customers to update their Microsoft 365 Office apps to a version higher than 16.0.18827.20202 (released in early July) by the end of January 2026 to maintain access to these accessibility and productivity features.

New Plague Linux malware stealthily maintains SSH access

A newly discovered Linux malware, which has evaded detection for over a year, allows attackers to gain persistent SSH access and bypass authentication on compromised systems.

Nextron Systems security researchers, who identified the malware and dubbed it “Plague,” describe it as a malicious Pluggable Authentication Module (PAM) that uses layered obfuscation techniques and environment tampering to avoid detection by traditional security tools.

This malware features anti-debugging capabilities to thwart analysis and reverse engineering attempts, string obfuscation to make detection more difficult, hardcoded passwords for covert access, as well as the ability to hide session artifacts that would normally reveal the attacker’s activity on infected devices.

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