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A team of researchers at the Massachusetts Institute of Technology (MIT) has invented a fibre with digital capabilities that can sense, store, analyse, and infer activities after it’s sewn into a shirt. Yoel Fink, professor and principal investigator at the Research Laboratory of Electronics and a senior author on the study, said that these fibres enhance possibilities of uncovering the context of hidden patterns in a human body. The data, then, can be used to monitor physical performance, medical inference, and also help in the detection of diseases at an early stage.

The researchers said that the new digital fibre can be sewn into fabrics and washed at least 10 times without breaking down. The fibre was created with the help of hundreds of square silicon microscale digital chips that were placed on a platform. It was then used to create polymer fibre, which is thin and flexible and can be passed through a needle.

Researchers said that the digital fibre can store a lot of memory as they were able to write, store, and read the information on it, including a 767Kb full-colour short movie file as well as a 0.48Mb music file. Such files can be stored for two months without power, they said.

A report in MIT News quoted Fink as saying, “This work presents the first realisation of a fabric with the ability to store and process data digitally.” Fink added that this was a “new information content dimension to textiles” and allowed “fabrics to be programmed literally.”

Gabriel Loke, a PhD student at MIT and a lead author on the study, said that when the fibre was put into a shirt, one can’t feel it at all. “You wouldn’t know if it was there,” Loke said.

Loke added that digital fibre opens up several areas of opportunities and solves some of the problems of functional fibres.

Since the digital fibre can store a lot of memory, among the “crazy ideas” that struck the researchers were using it for a wedding gown that would store digital music within the weave of its fabric.

Besides, the fibre, in its memory, also includes a neural network of 1,650 connections. Now, what does that do? To explain that, the researchers sewed the fibre around the armpit of a shirt and then collected 270 minutes of surface body temperature data from the person wearing the cloth. They then analysed how these data corresponded to the different physical activities. They found that the fibre was able to determine with 96 percent accuracy what activity the person wearing it was engaged in, they said.

And this analytic power, researchers say, may well one day reach a stage where it senses and alerts people in real-time to health changes like a respiratory decline or an irregular heartbeat. For now, the fibre is controlled externally by a device, but the next step, according to researchers, is to develop a microchip that can be connected within the fibre itself.


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Mysterious Planetary-Mass Objects May Form in Young Star System Clashes

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Mysterious Planetary-Mass Objects May Form in Young Star System Clashes

Free-floating planetary-mass objects have been observed drifting through young star clusters, raising questions about their origins. These objects, with masses around 13 times that of Jupiter, have been identified in large numbers within regions like the Trapezium Cluster in Orion. The discovery of 40 binary planetary-mass objects, referred to as Jupiter-Mass Binary Objects (JuMBOs), has challenged existing theories about their formation. Their presence has led scientists to investigate whether they originate like planets or stars, as neither process can fully explain their characteristics.

Formation Linked to Star System Collisions

According to a study published in Science Advances on February 26, simulations suggest that these objects may form during violent interactions between circumstellar disks surrounding young stars. Deng Hongping of the Shanghai Astronomical Observatory at the Chinese Academy of Sciences told Phys.org that planetary-mass objects do not align with the typical classifications of stars or planets, indicating a distinct formation process linked to young star clusters.

New Insights into Rogue Planetary Objects

As reported, previous theories suggested that free-floating planetary-mass objects were planets ejected from their home systems due to gravitational interactions. However, the discovery of binary JuMBOs contradicts this, as the likelihood of such an event occurring without breaking the pair is low. Alternative explanations, such as them being brown dwarfs, have also been questioned, as binary rates decrease significantly for lower-mass stellar bodies.

Simulations Reveal a Different Mechanism

High-resolution hydrodynamic simulations by the research team demonstrated that circumstellar disk collisions at high speeds could create tidal bridges of gas and dust. These structures collapse into filaments that fragment, forming planetary-mass objects. The study found that 14% of these objects emerge in binary or triplet systems, providing a possible explanation for the large number of JuMBOs observed in Orion.

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Asus VU Air Ionizer Series Monitors With Airborne Dust Reduction and 100Hz Refresh Rate Announced



Vanvaas OTT Release Date: Utkarsh Sharma, Nana Patekar’s Film to Premiere on ZEE5

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New Dark Matter Hypothesis Suggests Ionisation Clue in Milky Way’s Core

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New Dark Matter Hypothesis Suggests Ionisation Clue in Milky Way’s Core

Unusual activity at the centre of the Milky Way has raised new questions about dark matter, potentially pointing to a previously overlooked candidate. Researchers suggest that a lightweight, self-annihilating form of dark matter could be influencing cosmic chemistry in ways that have gone unnoticed. This theory proposes that when two of these dark matter particles collide, they annihilate each other, producing electrons and positrons. The presence of these particles in dense gas regions may explain why the Central Molecular Zone (CMZ) contains a significant amount of ionised gas. Scientists argue that this ionisation effect could be an indirect way of detecting dark matter, shifting the focus beyond its gravitational influence.

New Dark Matter Hypothesis

According to a study published in Physical Review Letters, a research team led by Shyam Balaji, Postdoctoral Research Fellow at King’s College London, suggests that dark matter with a mass lower than a proton may be responsible for the high levels of ionisation observed in the CMZ. Speaking to Space.com, Balaji explained that unlike traditional dark matter candidates, which are mainly studied through gravitational interactions, this form of dark matter might be detectable through its impact on the interstellar medium.

Dark Matter and Ionisation

Dark matter is believed to make up 85 percent of the universe’s mass, yet it remains undetectable by conventional methods due to its lack of interaction with light. The research indicates that even if dark matter annihilation is rare, it would be more frequent in galaxy centres where dark matter is expected to be denser. The team suggests that the ionisation observed in the CMZ is too strong to be explained by cosmic rays alone, making dark matter a compelling alternative explanation.

Future Observations and Implications

Balaji highlighted that existing observations do not contradict this hypothesis, and upcoming space missions, including

COSI gamma-ray telescope set to launch in 2027, could provide further evidence. If confirmed, this would open a new avenue for studying dark matter, not just through its gravitational effects but also through its chemical interactions within the galaxy.

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World’s First Modular Quantum Computer Operates at Room Temperature

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World’s First Modular Quantum Computer Operates at Room Temperature

A quantum computer capable of functioning at room temperature has been developed, marking a major advancement in the field. Named Aurora, the system operates using light-based qubits and connects multiple modules through fibre optic cables. This approach aims to address key challenges in quantum computing, including scalability, fault tolerance, and error correction. The technology, designed by Xanadu, a Toronto-based quantum computing company, demonstrates the potential for networked quantum computers that do not require extreme cooling measures.

Photon-Based Quantum Computing at Scale

According to a study published in Nature, Aurora is the first quantum system that operates at scale while being entirely photonic. Traditional quantum computers rely on superconducting qubits that require near-absolute zero temperatures to function effectively. These systems face significant challenges due to heat generation and complex cooling infrastructure. By utilising photonic qubits instead of superconducting ones, Xanadu’s researchers have created a system that integrates seamlessly into existing fibre optic networks.

Networking Smaller Quantum Units

As reported, Christian Weedbrook, CEO and founder of Xanadu, explained that the industry’s primary challenges lie in improving quantum error correction and achieving scalability. The system has been designed with smaller, interconnected modules rather than a single large unit. Speaking to the publication, Darran Milne, CEO of VividQ and an expert in quantum information theory, noted that while dividing a quantum system into multiple components may improve error correction, it has been seen whether this approach will ultimately reduce errors or compound them.

Potential Applications and Future Development

The system integrates 35 photonic chips linked by 13 kilometres of fibre optic cables. Researchers believe this framework could enable large-scale quantum data centres, facilitating applications such as drug discovery simulations and secure quantum cryptography. According to Xanadu, future efforts will focus on minimising optical signal loss in fibre connections to enhance performance.

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