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 ...

Abstract: The advent of sixth-generation (6G) networks promises ultra-high bandwidth, reliable connectivity, and ultra-low latency, enabling large-scale IoT deployment. Network slicing is central to ...

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 ...

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

Kilmer reportedly wanted to star in "As Deep as the Grave," but his deteriorating health wouldn't allow the beloved actor to do so. That didn't stop the film from being made. We’re going to have to ...

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 ...

When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill. Researchers at MIT, the ...

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 ...