In the ever-evolving world of financial markets, portfolio management is no longer just about diversification across sectors or regions. Today, the most successful asset managers rely on quantitative ...

The Paper explores different aspects of deep learning techniques and neural networks in the fields of healthcare, time-series forecasting, agriculture, and other relevant sectors through soft ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

This article proposes a method that integrates graph neural networks (GNNs) with deep reinforcement learning (DRL) to address this challenge.

By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full ...

“With this new toolkit and demo, D-Wave is enabling developers to build architectures that integrate our annealing quantum ...

Key Takeaways Hugging Face, LangChain, and OpenAI tools are leading the way in AI-powered text generation.Diffusers and JAX ...

Chennai: In a major push to build deep-tech capabilities in India’s workforce, IITM Pravartak Technologies Foundation, the ...

Computer code is provided to track the size and shape of deformable pigment cells in the skin of cephalopods from high-resolution video images.

For the first time, researchers at the Netherlands Institute for Neuroscience and Amsterdam UMC have identified what happens in neural networks deep within the brain during obsessive thoughts and ...