MIT engineers identified a common polymer whose thermal conductivity changes quickly and reversibly when the material is stretched. The material could be used to engineer systems that adapt to changing temperatures in real-time, such as switchable fibers woven into apparel.

Researchers have demonstrated a low‑loss, polarization‑independent photonic chip fabricated in borosilicate glass using femtosecond laser writing, enabling a fully tunable heterodyne receiver that achieves record‑high quantum random number generation at 42.7 Gbit/s and secure quantum key distribution at 3.2 Mbit/s, marking a significant advance toward practical and scalable quantum communication technologies.

The University of Pittsburgh Swanson School of Engineering professors Albert To and Wei Xiong have received a $400,000 Defense Advanced Research Projects Agency (DARPA) award to develop novel interlocking design and fabrication technology for complex defense, aerospace, transportation, energy, and medical systems.

Customers are 32% more likely to buy a product after reading a review summary generated by a chatbot than after reading the original review written by a human. That’s because large language models introduce bias, in this case a positive framing, in summaries. That, in turn, affects users’ behavior. 

These are the findings of the first study to show evidence that cognitive biases introduced by large language models, or LLMs, have real consequences on users’ decision making.

Kyoto, Japan -- Quantum materials and superconductors are difficult enough to understand on their own. Unconventional superconductors, which cannot be explained within the framework of standard theory, take the enigma to an entirely new level.

A typical example of unconventional superconductivity is strontium ruthenate, SRO214, the superconductive properties of which were discovered by a research team that included Yoshiteru Maeno, who is currently at the Toyota Riken - Kyoto University Research Center.

It has long been believed that this material exhibits spin-triplet superconductivity, in which electron pairs retain magnet-like properties and can transport quantum information without electrical resistance. However, results from recent nuclear magnetic resonance -- NMR -- experiments have overturned previous conclusions, prompting the need for independent verification using other techniques.

Guidance based on Artificial Intelligence (AI) may be uniquely placed to foster biases in humans, leading to less effective decision making say researchers, who found that people with a positive view of AI may be at higher risk of being misled by AI tools.

The study entitled “Examining Human Reliance on Artificial Intelligence in Decision Making” is published in Scientific Reports.  

Lead author Dr Sophie Nightingale of Lancaster University said: “Understanding human reliance on AI is critical given controversial reports of AI inaccuracy and bias. Furthermore, the erroneous belief that using technology removes biases may lead to overreliance on AI.”