Harness Engineering 是什么？一场新的 AI 范式已经开始

Over the past three years we have built a practice-oriented, bachelor level, educational programme for software engineers to specialize as AI engineers. The experience with this programme and the practical assignments our students execute in industry has given us valuable insights on the profession of AI engineer. In this paper we discuss our programme and the lessons learned for industry and research.

Although mobile metal-ion-based filamentary memristors are explored as an artificial synapse for neuromorphic computing, they suffer from abrupt and stochastic switching. Hence, this study reports a non-filamentary synaptic memristor using mobile silver-doped vanadium-cerium oxide (VCeO

Cancer research has become increasingly data-intensive, with digital pathology, imaging, and genomic sequencing generating vast, heterogeneous datasets. Artificial intelligence (AI) now plays a growing role across the oncology continuum, offering tools to interpret complex data, streamline workflows, and enhance clinical decision-making. In the context of clinical trials, AI is emerging as a catalyst for more efficient, inclusive, and data-driven research.

The integration of data science and artificial intelligence approaches, through multidisciplinary collaboration, is set to advance health research in Africa. Here, we describe the Harnessing Data Science for Health Discovery and Innovation in Africa-funded effort for enhancing healthcare delivery, disease surveillance, predictive modelling, capacity building and research innovation across Africa and globally.

Oral cancer affects millions of people worldwide, and early detection significantly improves treatment outcomes and survival rates. Conventional diagnostic approaches often face challenges related to subjectivity and delayed identification. In this context, artificial intelligence-based tools offer promising opportunities for rapid and reliable early screening.