RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

A microfluidic approach combines electric slip and viscoelastic forces to sort nanoscale particles, increasing the purity of synthetic beads and cell vesicles.

In the U.K., 28 million households consume 25% of the total energy and contribute to 25% of the carbon emissions. Focusing on sustainability and energy efficiency within the building sector is vital ...

The amount and accuracy of passing in the game of soccer—called football across much of the world—has climbed in recent years ...

A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research. Developed by the Berlin Institute of Health at Charité (BIH) in international ...

Determined to end animal-based experiments they describe as immoral and ineffective, animal rights activists declared a major ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

The new AI-based graphics tool bridges the gap between perfect imaging of objects in lab environments and capturing messy ...

60-day layoff notice leads to new job: A 19.5% interview rate beats the 2% market average. Use ChatGPT to build a master ...

Congress ended funding for Reading First in 2009. The more recent science of reading movement, though, has been propelled by ...

This scoping review examined the prevalence and characteristics of musculoskeletal injuries in rock climbing and identified ...

Laboratory experiments demonstrated excellent results. At room temperature, the method achieved a temperature drop of nearly ...