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Automatic C to Rust translation technology provides accuracy beyond AI

As the C language, which forms the basis of critical global software like operating systems, faces security limitations, KAIST’s research team is pioneering core original technology research for the accurate automatic conversion to Rust to replace it. By proving the mathematical correctness of the conversion, a limitation of existing artificial intelligence (LLM) methods, and solving C language security issues through automatic conversion to Rust, they presented a new direction and vision for future software security research.

The paper by Professor Sukyoung Ryu’s research team from the School of Computing was published in the November issue of Communications of the ACM and was selected as the cover story.

The C language has been widely used in the industry since the 1970s, but its structural limitations have continuously caused severe bugs and security vulnerabilities. Rust, on the other hand, is a secure programming language developed since 2015, used in the development of operating systems and , and has the characteristic of being able to detect and prevent bugs before program execution.

Bacterial Rtc repair system provides new target in fight against resistant infections

The discovery of a new mechanism of resistance to common antibiotics could pave the way for improved treatments for harmful bacterial infections, a study suggests. Targeting this defense mechanism could aid efforts to combat antimicrobial resistance (AMR), one of the world’s most urgent health challenges, researchers say.

The work appears in Nature Communications.

Findings from the study reveal how a repair system inside some bacteria plays a pivotal role in helping them survive commonly used antibiotics. Many of these drugs work by targeting the production of proteins essential for and survival.

Goodbye cavities? This new toothpaste made from hair can heal enamel

Scientists have found that keratin, the protein in hair and skin, can repair and protect tooth enamel. The material forms a mineralized layer that halts decay and restores strength, outperforming traditional fluoride. Made from sustainable sources like hair, it could soon be available in toothpaste or gels. The discovery could transform dentistry by turning waste into a powerful tool for regeneration.

TSMC’s 3nm Capacity Will Almost Reach Its Limit By 2026, Analysts Say Existing Production Lines For Older Nodes Are Being Converted, With Gross Margin To Exceed 60%

The insanely high demand for TSMC’s 3nm process means that capacity will nearly its limit by next year, with the company scrambling to make adjustments

First Glimpse of a “Young Sun” Super-Eruption Captured by Astronomers

A young Sun’s violent plasma eruptions may have helped ignite the spark of life on Earth. Astronomers observed a massive, multi-temperature plasma eruption from a young Sun-like star, revealing how early solar explosions could shape planets. These fierce events may have influenced the atmosphere and life-forming chemistry of the early Earth.

Although we rarely notice from Earth, the Sun is continuously hurling enormous clouds of charged plasma into space. These events, known as coronal mass ejections (CMEs), often occur alongside sudden bursts of light called solar flares. When particularly strong, CMEs can stretch far enough to disturb Earth’s magnetic field, producing dazzling auroras and sometimes triggering geomagnetic storms that disrupt satellites or even power grids.

Scientists believe that billions of years ago, when the Sun and Earth were both young, solar activity was far more intense than it is today. Powerful CMEs during that period may have influenced the conditions that allowed life to emerge and evolve. Studies of young Sun-like stars — used as stand-ins for our own star’s early years — show that these stars often unleash flares far stronger than any recorded from the modern Sun.

Robotics Company Builds Straight-Up Terminator

“I am kind of blown away that they can get motors to work in such an elegant way. I assumed it was soft body mechanics,” wrote another. “Wow.”

Iron made its first debut on Wednesday, when XPeng CEO He Xiaopeng introduced the unit as the “most human-like” bot on the market to date. Per Humanoids Daily, the robot features “dexterous hands” with 22 degrees of flexibility, a “human-like spine,” gender options, and a digital face.

According to He, the bot also contains the “first all-solid-state battery in the industry,” as opposed to the liquid electrolyte typically found in lithium-ion batteries. Solid-state batteries are considered the “holy grail” for electric vehicle development, a design choice He says will make the robots safer for home use.

Removing toxic proteins before they can damage motor neurons

University of Wollongong (UOW) scientists have developed a breakthrough therapy that clears toxic proteins from nerve cells—a discovery that advances the work of the late Professor Justin Yerbury and could transform the treatment of motor neuron disease (MND).

The proof-of-concept study, published in Nature Communications and led by Dr. Christen Chisholm from UOW’s Molecular Horizons, unveils a therapeutic designer molecule, MisfoldUbL, that targets and removes toxic misfolded SOD1 (superoxide dismutase 1) proteins from cells. SOD1 is an antioxidant enzyme that plays a crucial role in protecting cells from damage caused by superoxide radicals. About 35% of people with inherited MND in Australia have SOD1 gene mutations that cause more frequent misfolding.

“In MND, proteins misfold more frequently and the cell’s degradation systems become overwhelmed and stop working properly. The misfolded can then accumulate, forming clumps or ‘aggregates’ and over time, this accumulation damages and eventually kills motor neurons, leading to gradual muscle weakness, paralysis and death,” Dr. Chisholm said.

AI evaluates texts without bias—until the source is revealed

Large language models (LLMs) are increasingly used not only to generate content but also to evaluate it. They are asked to grade essays, moderate social media content, summarize reports, screen job applications and much more.

However, there are heated discussions—in the media as well as in academia—about whether such evaluations are consistent and unbiased. Some LLMs are under suspicion of promoting certain political agendas. For example, Deepseek is often characterized as having a pro-Chinese perspective and Open AI as being “woke.”

Although these beliefs are widely discussed, they are so far unsubstantiated. UZH-researchers Federico Germani and Giovanni Spitale have now investigated whether LLMs really exhibit systematic biases when evaluating texts. Their results, published in Science Advances, show that LLMs indeed deliver biased judgments—but only when information about the source or author of the evaluated message is revealed.

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