A mathematically rigorous implementation of a Neural Network library built entirely from scratch using Python and NumPy. This project eschews high-level frameworks (PyTorch, TensorFlow) to demonstrate ...

Getting older often involves a series of challenges, such as cognitive decline, social isolation, and late-life depression. Memory decline, especially decline in episodic memory and working memory, is ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

An ocean-mining company has funded some of the most comprehensive scientific studies of the deep seabed to date, and peer-reviewed results have begun to emerge. A collage of foraminifera, a kind of ...

What if you could build an autonomous system that not only executes complex, long-running tasks but also adapts to evolving challenges with remarkable precision? Enter Deep Agents, a innovative ...

2 Centre for Comprehensive Stroke Rehabilitation and Research, Manipal Academy of Higher Education, Manipal, India Objective Upper limb task-oriented training (UL-TOT) is a complex intervention in ...

ABSTRACT: This study addresses the challenges in teaching the “Comprehensive Business English” course, a core program integrating language, culture, and business knowledge. Current practices face ...

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. agent/: Agent library (dr-agent-lib) with MCP-based tool ...