Connect with us
We’re experimenting with AI-generated content to help deliver information faster and more efficiently.
While we try to keep things accurate, this content is part of an ongoing experiment and may not always be reliable.
Please double-check important details — we’re not responsible for how the information is used.

Computer Graphics

Unlocking Next-Generation Particle Physics Experiments with Quantum Sensors

Researchers have developed a novel high-energy particle detection instrumentation approach that leverages the power of quantum sensors — devices capable of precisely detecting single particles.

Avatar photo

Published

on

The quest to understand the fundamental nature of matter, energy, space, and time has led physicists to create powerful particle accelerators that collide high-energy particles at incredible speeds. These collisions produce a massive number of subatomic particles per second, making it challenging for researchers to detect and analyze them accurately.

To overcome this challenge, scientists have developed quantum sensors, specifically designed to precisely detect single particles. Researchers from the Fermi National Accelerator Laboratory (Fermilab), Caltech, NASA’s Jet Propulsion Laboratory (JPL), and other collaborating institutions have successfully tested these novel high-energy particle detection instruments at Fermilab.

The research team, led by Maria Spiropulu, used superconducting microwire single-photon detectors (SMSPDs) to detect charged particles for the first time. These sensors can precisely track particles in both space and time, achieving better spatial and time resolution simultaneously.

According to Si Xie, a scientist at Fermilab, “This is just the beginning. We have the potential to detect particles lower in mass than we could before as well as exotic particles like those that may constitute dark matter.” The quantum sensors used in this study are similar to superconducting nanowire single-photon detectors (SNSPDs), which have applications in quantum networks and astronomy experiments.

The researchers demonstrated that the SMSPD sensors were highly efficient at detecting high-energy beams of protons, electrons, and pions. This breakthrough has significant implications for future particle physics experiments, such as those planned for the Future Circular Collider or a muon collider.

“We are very excited to work on cutting-edge detector R&D like SMSPDs because they may play a vital role in capstone projects in the field,” said Fermilab scientist and Caltech alumnus Cristián Peña. The study, titled “High energy particle detection with large area superconducting microwire array,” was funded by the US Department of Energy, Fermilab, the National Agency for Research and Development (ANID) in Chile, and the Federico Santa María Technical University.

The success of this research has paved the way for further advancements in particle physics experiments, utilizing quantum sensors to optimize next-generation searches for new particles and dark matter.

Computer Graphics

The Quiet Threat to Trust: How Overreliance on AI Emails Can Harm Workplace Relationships

AI is now a routine part of workplace communication, with most professionals using tools like ChatGPT and Gemini. A study of over 1,000 professionals shows that while AI makes managers’ messages more polished, heavy reliance can damage trust. Employees tend to accept low-level AI help, such as grammar fixes, but become skeptical when supervisors use AI extensively, especially for personal or motivational messages. This “perception gap” can lead employees to question a manager’s sincerity, integrity, and leadership ability.

Avatar photo

Published

on

By

The use of artificial intelligence (AI) in writing and editing emails has become a common practice among professionals, with over 75% of them utilizing tools like ChatGPT, Gemini, Copilot, or Claude in their daily work. While these generative AI tools can make writing easier, research reveals that relying on them too heavily can undermine trust between managers and employees.

A study conducted by researchers Anthony Coman and Peter Cardon surveyed 1,100 professionals about their perceptions of emails written with low, medium, and high levels of AI assistance. The results showed a “perception gap” in messages written by managers versus those written by employees. When evaluating their own use of AI, participants tended to rate it similarly across different levels of assistance. However, when rating others’ use, the magnitude of AI assistance became important.

The study found that low levels of AI help, such as grammar or editing, were generally acceptable. However, higher levels of assistance triggered negative perceptions, especially among employees who perceived their managers’ reliance on AI-generated content as laziness or a lack of caring. This perception gap had a substantial impact on trust: only 40% to 52% of employees viewed supervisors as sincere when they used high levels of AI, compared to 83% for low-assistance messages.

The findings suggest that managers should carefully consider message type, level of AI assistance, and relational context before using AI in their writing. While AI may be suitable for informational or routine communications, relationship-oriented messages requiring empathy, praise, congratulations, motivation, or personal feedback are better handled with minimal technological intervention.

In essence, the quiet threat to trust posed by overreliance on AI emails is a reminder that while technology can enhance productivity and efficiency, it cannot replace human touch and emotional intelligence in workplace relationships.

Continue Reading

Child Development

Pain Relief Without Pills? VR Nature Scenes Activate Brain’s Healing Switch

Stepping into a virtual forest or waterfall scene through VR could be the future of pain management. A new study shows that immersive virtual nature dramatically reduces pain sensitivity almost as effectively as medication. Researchers at the University of Exeter found that the more present participants felt in these 360-degree nature experiences, the stronger the pain-relieving effects. Brain scans confirmed that immersive VR scenes activated pain-modulating pathways, revealing that our brains can be coaxed into suppressing pain by simply feeling like we re in nature.

Avatar photo

Published

on

The use of virtual reality (VR) nature scenes has been found to relieve symptoms commonly experienced by individuals living with long-term pain, with those who felt more present during the experience showing the strongest effects. A recent study led by the University of Exeter discovered that immersive 360-degree nature films delivered via VR were almost twice as effective in reducing pain compared to 2D video images.

Long-term pain is notoriously difficult to treat and typically lasts for over three months. Researchers simulated this type of pain in healthy participants, finding that nature VR had an effect similar to that of painkillers, which endured for at least five minutes after the VR experience had ended.

Dr. Sam Hughes, Senior Lecturer in Pain Neuroscience at the University of Exeter, stated, “We’ve seen a growing body of evidence show that exposure to nature can help reduce short-term, everyday pain, but there has been less research into how this might work for people living with chronic or longer-term pain.” The study aimed to investigate the effect of prolonged exposure to a virtual reality nature scene on symptoms experienced during long-term pain sensitivity.

The study involved 29 healthy participants who were shown two types of nature scenes after experiencing electric shocks on their forearm, which simulated pain. On the first visit, they measured changes in pain over a 50-minute period following the electric shocks and showed how the healthy participants developed sensitivity to sharp pricking stimuli in the absence of any nature scenes.

On the second visit, they immersed the same participants in a 45-minute virtual reality 360-degree experience of Oregon’s waterfalls, specifically chosen to maximize therapeutic effects. The scene was compared to a 2D screen experience. Participants completed questionnaires on their experience of pain after watching the scenes and how present they felt in each experience.

On a separate visit, participants underwent MRI brain scans at the University of Exeter’s Mireille Gillings Neuroimaging Centre. Researchers administered a cold gel to illicit ongoing pain and then scanned participants to study how their brains responded.

The researchers found that the immersive VR experience significantly reduced the development and spread of feelings of pain sensitivity to pricking stimuli, and these pain-reducing effects were still present even at the end of the 45-minute experience. The more present the person felt during the VR experience, the stronger this pain-relieving effect was.

The fMRI brain scans also revealed that people with stronger connectivity in brain regions involved in modulating pain responses experienced less pain. The results suggest that nature scenes delivered using VR can help change how pain signals are transmitted in the brain and spinal cord during long-term pain conditions.

Dr. Sonia Medina, of the University of Exeter Medical School, stated, “We think VR has a particularly strong effect on reducing experience of pain because it’s so immersive. It really created that feeling of being present in nature – and we found the pain-reducing effect was greatest in people for whom that perception was strongest.” The study aims to lead to more research to investigate further how exposure to nature effects our pain responses, so we could one day see nature scenes incorporated into ways of reducing pain for people in settings like care homes or hospitals.

Continue Reading

Artificial Intelligence

Transistors Get a Boost: Scientists Develop New, More Efficient Material

Shrinking silicon transistors have reached their physical limits, but a team from the University of Tokyo is rewriting the rules. They’ve created a cutting-edge transistor using gallium-doped indium oxide with a novel “gate-all-around” structure. By precisely engineering the material’s atomic structure, the new device achieves remarkable electron mobility and stability. This breakthrough could fuel faster, more reliable electronics powering future technologies from AI to big data systems.

Avatar photo

Published

on

By

Scientists have long considered transistors to be one of the greatest inventions of the 20th century. These tiny components are the backbone of modern electronics, allowing us to amplify or switch electrical signals. However, as electronics continue to shrink, it’s become increasingly difficult to scale down silicon-based transistors. It seemed like we had hit a wall.

A team of researchers from The University of Tokyo has come up with an innovative solution. They’ve developed a new transistor made from gallium-doped indium oxide (InGaOx), a material that can be structured as a crystalline oxide. This orderly structure is well-suited for electron mobility, making it an ideal candidate for replacing traditional silicon-based transistors.

The researchers wanted to enhance efficiency and scalability, so they designed their transistor with a “gate-all-around” structure. In this design, the gate (which turns the current on or off) surrounds the channel where the current flows. This wraps the gate entirely around the channel, improving efficiency and allowing for further miniaturization.

To create this new transistor, the team used atomic-layer deposition to coat the channel region with a thin film of InGaOx, one atomic layer at a time. They then heated the film to transform it into the crystalline structure needed for electron mobility.

The results are promising: their gate-all-around MOSFET achieves high mobility of 44.5 cm2/Vs and operates stably under applied stress for nearly three hours. In fact, this new transistor outperforms similar devices that have previously been reported.

This breakthrough has the potential to revolutionize electronics by providing more reliable and efficient components suited for applications with high computational demand, such as big data and artificial intelligence. These tiny transistors promise to help next-gen technology run smoothly, making a significant difference in our everyday lives.

Continue Reading

Trending