A new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and memory. Older adults using BrainHQ for 10 weeks showed restored cholinergic ...

Abstract: This paper explores generative antenna design (GAD) and optimization using neural network (NN)-based deep learning (DL) methods. We first outline traditional antenna design and the ...

Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...

Start with materials you use every semester and that can be accessed by students. The Accessibility Checklist outlines requirements for Word, PowerPoint, and PDF documents; video captioning options; ...

Axl Rose & Co. launched their 2026 tour on March 28 in Monterrey, Mexico. After spending the entire month of April in Brazil, Guns N’ Roses will head back to the States May 5 for two shows in Florida.

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...

Abstract: Automatic personality recognition has become relevant due to the advancement of artificial intelligence and the widespread use of mobile devices. This study proposes predicting personality ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Two new research reports highlight growing concerns about the impact of AI use on teens and young adults’ mental health and how they use the technology to address those challenges. The reports—both ...

Mark Cuban says there are two types of LLM users: learners and non-learners. Cuban has previously said companies need to embrace AI, but that it's not perfect. Some proponents of AI have said that one ...

Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...