UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...

People often compare the genome to a computer's program, with the cell using its genetic code to process environmental inputs and produce appropriate responses. Subscribe to our newsletter for the ...

Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational ...

Human language may seem messy and inefficient compared to the ultra-compact strings of ones and zeros used by computers—but our brains actually prefer it that way. New research reveals that while ...

Prism is a ChatGPT-powered text editor that automates much of the work involved in writing scientific papers. OpenAI just revealed what its new in-house team, OpenAI for Science, has been up to. The ...

Seattle-based Code.org laid off 18 employees, or about 14% of its staff, the nonprofit confirmed to GeekWire on Wednesday. Following the cuts, Code.org’s staff now numbers 107. “Code.org has made the ...

Less than 40 percent of public middle schools say that they are offering computer science coursework. Credit: Allison Shelley for EDUimages The Hechinger Report covers one topic: education. Sign up ...

Last week at CES, Lego introduced its new Smart Play system, with a tech-packed Smart Brick that can recognize and interact with sets and minifigures. It was unexpected and delightful to see Lego come ...

Pew Research Center has tracked trends in public trust in scientists closely since 2016. In the new survey, public confidence in scientists is about the same as last year: 77% of U.S. adults say they ...

Let’s start with a thought experiment: Pretend you could design America’s K–12 education system from scratch. Knowing what we now know about how technology shapes our economy, national security, and ...

Space and time aren’t just woven into the background fabric of the universe. To theoretical computer scientists, time and space (also known as memory) are the two fundamental resources of computation.