Hanan Kalaz

By replacing clothes dyers with line drying, households in the U.S. could save upwards of $2,100 and avoid 3 tons of carbon dioxide emissions over the lifetime of a dryer. The exact impacts, however, depend on what kind of dryer you have and where you live, new research shows.

In a new study, researchers explored how artificial intelligence (AI) can enhance performance and trust in knowledge work environments. They found that when AI systems provided feedback in real-time, performance and trust increased.

Astronomers have peered back to a time when the universe was just less than 300 million years old. The research team, using JWST revealed something extraordinary in the galaxy: significant amounts of oxygen.

A Japanese study has found that the use of continuous glucose monitoring (CGM) devices, equipped with sensors that alert diabetics when their blood sugar levels drop, can potentially make diabetic drivers safer on the road. Those who used the devices had lower incidences of low blood sugar and reported increased confidence in driving.

Scientists have uncovered a key finding to one of water’s unique properties: at high pressure and low temperature, liquid water separates into two distinct liquid phases — one high-density and one low-density.

Researchers have developed PhyloFrame, a machine-learning tool that uses artificial intelligence to account for ancestral diversity in genetic data.

Researchers have developed an AI-based learning system that recognizes strengths and weaknesses in mathematics by tracking eye movements with a webcam to generate problem-solving hints. This enables teachers to provide significantly more children with individualized support.

Newly achieved precise control over light emitted from incredibly tiny sources, a few nanometers in size, embedded in two-dimensional materials could lead to remarkably high-resolution monitors and advances in ultra-fast quantum computing, according to an international team.

With the help of the world’s most powerful X-ray laser, a research team has achieved an important breakthrough: Using the example of the pharmaceutically active substance 2-thiouracil, they applied a long-established imaging technique to complex molecules. Although 2-thiouracil is no longer applied therapeutically, it is part of a group of chemically similar active substances that

AI models often rely on ‘spurious correlations,’ making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small subset of the training data and have demonstrated a technique that overcomes the problem.