As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma, biotech, and industrial biology. Ainnocence is expanding partnerships, ...

Fudan University's new guidelines specify that course teaching teams can use AI to optimize course module divisions, learning ...

Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...

1 Department of Software Science, Tallinn University of Technology (TalTech), Tallinn, Estonia 2 LEARN! Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands Project-based learning ...

Pre-med students in a Biology course measure urban air quality in collaboration with citizen-scientists from the local community; students in a 300-level Business seminar design improvements to a ...

David Shan is the Co-Founder and CTO of Clado, who trains in-house small language models to build the best people search algorithm. We celebrate RL breakthroughs, but behind the hype lies a brittle ...

Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and architectures, hallucinations ...

Introduction: In line with the overarching demands of the current educational ecological reform, online learning should transition from “novelty” to “normalization.” Teachers in elementary and ...

Forbes contributors publish independent expert analyses and insights. Jean Eddy is the Executive Chair of American Student Assistance. In this third and final article on the report, we’ll highlight ...

Challenge-based learning is a form of collaborative and project-based learning in which students band together to help solve a local or national problem in a way that furthers their learning.

Lifelong learning is crucial for intelligent agents navigating ever-changing environments, yet current LLM-based agents fall short—they lack memory and treat every task as a fresh start. While LLMs ...