Is artificial intelligence (AI) capable of suggesting appropriate behavior in emotionally charged situations? A team put six generative AIs — including ChatGPT — to the test using emotional intelligence (EI) assessments typically designed for humans. The outcome: these AIs outperformed average human performance and were even able to generate new tests in record time. These findings open up new possibilities for AI in education, coaching, and conflict management.
Tag: statistics
Researchers have unveiled a breakthrough in solid-state cooling technology, doubling the efficiency of today’s commercial systems. Driven by the Lab’s patented nano-engineered thin-film thermoelectric materials and devices, this innovation paves the way for compact, reliable and scalable cooling solutions that could potentially replace traditional compressors across a range of industries.
New research shows that cyberbullying should be classified as an adverse childhood experience due to its strong link to trauma. Even subtle forms — like exclusion from group chats — can trigger PTSD-level distress. Nearly 90% of teens experienced some form of cyberbullying, accounting for 32% of the variation in trauma symptoms. Indirect harassment was most common, with more than half reporting hurtful comments, rumors or deliberate exclusion. What mattered most was the overall amount of cyberbullying: the more often a student was targeted, the more trauma symptoms they showed.
A surprising connection has been found, between two seemingly very different classes of superconductors. In a new material, atoms are distributed irregularly, but still manage to create long-range magnetic order.
Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can autonomously synthesize thin-film samples and measure their material properties. The team’s dLab system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science.
As kids spend more time on screens, a new national survey conducted by Ipsos on behalf of The Kids Mental Health Foundation, founded by Nationwide Children’s Hospital, identifies parents’ greatest fears for their children around screen time.
A new article puts artificial intelligence and machine learning on the task of finding new, powerful electrolytes for designing next-generation batteries for electric vehicles, phones, laptops and grid-scale energy storage. The paper outlines a new framework for finding molecules that maximize three components that make an ideal battery electrolyte — ionic conductivity, oxidative stability and Coulombic efficiency.
Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health care.
Researchers have developed a data-driven AI framework that gives scientists a head start by suggesting ideal candidate materials.
Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.