Deep learning is a subset of machine learning that involves training neural networks with multiple layers to recognize patterns and…
Machine Learning
Generative AI (Gen AI), capable of producing robust content based on input, is poised to impact various sectors like science,…
By utilizing language thinking, Large Vision-Language Models (VLMs) have demonstrated remarkable capabilities as adaptable agents that can solve a wide…
The expansion of question-answering (QA) systems driven by artificial intelligence (AI) results from the increasing demand for financial data analysis…
Video understanding is one of the evolving areas of research in artificial intelligence (AI), focusing on enabling machines to comprehend…
The increasing availability of digital text in diverse languages and scripts presents a significant challenge for natural language processing (NLP).…
Retrieval-augmented generation (RAG) is a cutting-edge technique in artificial intelligence that combines the strengths of retrieval-based approaches with generative models.…
The origins of quantum computing trace back to Richard Feynman’s ideas of simulating various Hamiltonians using controlled quantum systems, with…
Brain-computer interfaces (BCIs) focus on creating direct communication pathways between the brain and external devices. This technology has applications in…
The Python Testbed for Federated Learning Algorithms (PTB-FLA) is a low-code framework developed for the EU Horizon 2020 project TaRDIS,…
Bisheng, launched under the Apache 2.0 License, is an innovative open-source platform designed to facilitate and accelerate the development of…
Artificial intelligence’s incorporation has become a paradigm shifter in the dynamic field of biological research. Artificial intelligence (AI) powered tools…
As AI technology progresses, models may acquire powerful capabilities that could be misused, resulting in significant risks in high-stakes domains…
The Technology Innovation Institute (TII) in Abu Dhabi has introduced Falcon, a cutting-edge family of language models available under the…
Transformer-based neural networks have shown great ability to handle multiple tasks like text generation, editing, and question-answering. In many cases,…
Large Language Models (LLMs) such as ChatGPT have attracted a lot of attention since they can perform a wide range…
Graph Neural Networks GNNs are advanced tools for graph classification, leveraging neighborhood aggregation to update node representations iteratively. This process…
State-space models (SSMs) are crucial in deep learning for sequence modeling. They represent systems where the output depends on both…
Accurate propagation modeling is paramount for effective radio deployments, coverage analysis, and interference mitigation in wireless communications. Path loss modeling,…
Machine learning models, which can contain billions of parameters, require sophisticated methods to fine-tune their performance efficiently. Researchers aim to…