In a recent study published in Science Advances, researchers presented a deep learning framework, termed DeepAIR, to accurately predict adaptive immune receptor (AIR)-antigen binding by integrating ...

Light scattering in complex media is a pervasive problem across many areas, such as deep tissue imaging, imaging in a degraded environment, and wavefront shaping. However, to date, there is no simple ...

Learning models are changing throughout higher education, with a wave of remote, hybrid and blended classes sweeping through colleges and universities even as life returns to something more like ...

Adaptive learning tools help teachers do their jobs more efficiently and support student engagement, concludes a recent study. But the study—conducted by foundry10, a philanthropic education research ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of users by ...

Adaptive technology lets teachers and students customize lessons for a better learning experience. This can help close achievement gaps and promote equity in education. This article is part of "Build ...

Upper-limb assistive robots provide a promising solution for enhancing the daily lives of individuals with disabilities and the elderly in regaining independence and performing daily tasks. Despite ...

CNC machining delivers high precision but is costly, rigid, and limited in adaptability. Robotic machining offers a flexible alternative where industrial robots hold the cutting tools. However, these ...