Parents may have more influence than they realize when it comes to shaping their children's behavior, especially for those at higher genetic risk for conduct problems, according to Rutgers Health-led ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...

OpenAI says ChatGPT will now ditch the em dashes if you tell it to. The telltale sign that supposedly signals text written by AI has popped up everywhere in recent months, including in school papers, ...

Maxone Semiconductor (Suzhou) has cleared the Shanghai STAR Market IPO review, a notable milestone in China's effort to end foreign control of the wafer-test hardware market. It is the only Chinese ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Though companies boast about how artificial intelligence is revolutionizing the workplace, the incorporation of AI is actually reducing productivity as workers create “workslop,” according to new ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

A rare genetic mutation that causes a deficiency in an immune regulator called ISG15 is known to make people more vulnerable to some bacterial infections and cause persistent inflammation — but it can ...

Abstract: Recent studies have been conducted actively on scheduling in a parcel delivery system using a truck and drones to deliver parcels more effectively. In logistics, it is necessary to provide ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...