Entrepreneurs Can Bring Coding In-House With This All-in-One Bundle

If you’d like to bring coding in-house once and for all, this bundle gives you an easy way to learn and the tools you need to ...

Qualcomm unveils startup selection for Qualcomm Make in Africa 2026

With this fourth edition, Qualcomm reaffirms its commitment to empowering Africa’s deep-technology ecosystem through mentorship, training, and IP generation initiatives ...

What building a Smart Blind Stick taught me about robotics and practical learning

Discover how building a Smart Blind Stick transformed my understanding of robotics and practical learning through hands-on experience.
University of California

What does it mean to learn with AI?

What happens when AI becomes part of how we learn? On campus, students and faculty are exploring new approaches — and a new ...
Education Week

Lessons Learned for Schools From Artemis II

As Artemis II prepares to land in California this week, some educators and advocates say the mission has given them the ...
The Business & Financial Times on MSN

Telecel DigiTech Academy graduates 500 young innovators in third cohort

A total of 500 upper primary and junior high students from five regions have graduated as part of the third cohort of the Telecel Foundation’s DigiTech Academy, a 12-week after-school digital skills ...
The Decatur Daily

Athens High teacher named finalist for Alabama Teacher of the Year

An Athens City Schools educator has been named among the top candidates for the 2026-2027 Alabama Teacher of the Year, the ...

Forbes And America250 To Co-Host America Innovates Exhibit In San Francisco, Showcasing Innovations Of The Past, Present And Future To Commemorate America…

Today, Forbes announced they will be co-hosting “America Innovates,” a three-day experience the Forbes Innovator 250 ...
IEEE

Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling

Abstract: dynamic flexible job shop scheduling (DFJSS) is a critical combinatorial optimization problem known for its dynamic nature and flexibility of machines. Traditional scheduling methods face ...
IEEE

Adaptive Environment Generation for Continual Learning: Integrating Constraint Logic Programming With Deep Reinforcement Learning

Abstract: In this article, we introduce a novel framework that combines constraint logic programming (CLP) with deep reinforcement learning (DRL) to create adaptive environments for continual learning ...