Evaluating the Evolution of Critical Thinking, Creativity, Communication and Collaboration in Higher Education Courses ...

A new Perspectives research study on the future of the global PV supply chain outlines how module prices, performance, and lifetimes could evolve over the next 25 years. The work reflects a ...

Discover key insights and strategies for passing the CFA Level III exam, focusing on portfolio management, wealth planning, ...

Amonjon Bobononov wins the second prize at a Chinese language competition for overseas students at Shanghai Jiao Tong ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

The companies that survive will look less like pyramids and more like swarms: small, autonomous AI-first pods that move and learn faster and execute relentlessly.

The IMCAS test team for the reconfigurable flexible on-orbit manufacturing platform. Credit: IMCAS HELSINKI — A Chinese institute recently completed ground tests on what it describes as a ...

In our current information environment, artificially intelligent, algorithm-driven technologies mediate essentially all information and communication, and they demonstrably influence our ...

Have you ever sensed your company’s innovation efforts stalling—not because of a lack of effort, but because something in the process feels off? Most leaders understand that innovation requires ...

We are pleased to announce the launch of a new interactive learning module on rapid reviews, designed to support researchers and health decision-makers who need to produce high-quality evidence ...

Systemic, structural change has always been a part of the perspective of the Greater Good Science Center. In a 2022 essay, editor Jeremy Adam Smith defines structural forces in the context of our work ...

Abstract: Accurate extraction of molecular representations is a critical step in the drug discovery process. In recent years, significant progress has been made in molecular representation learning ...