Retrieval-augmented generation (RAG) enhances the output of Large Language Models (LLMs) using external knowledge bases. These systems work by retrieving relevant information linked to the input and ...

Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development ...

Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development ...

Agentic AI systems have revolutionized industries by enabling complex workflows through specialized agents working in collaboration. These systems streamline operations, automate decision-making, and ...

The development of Physical AI—AI systems designed to simulate, predict, and optimize real-world physics—has long been constrained by significant challenges. Building accurate models often demands ...

The development of Physical AI—AI systems designed to simulate, predict, and optimize real-world physics—has long been constrained by significant challenges. Building accurate models often demands ...

When it comes to AI tools, chatbots are often the first thing that comes to mind —conversation-based interfaces for users to write queries and receive responses. These dialogue interfaces are ...

Trailing the advances made by AI in drug discovery, one can say there is a vast amount of untapped potential. Therapeutic nanobodies, particularly, have ...

Protein docking, the process of predicting the structure of protein-protein complexes, remains a complex challenge in computational biology. While advances like AlphaFold have transformed ...

In today’s fast-paced world, staying organized is crucial for productivity, especially for professionals handling complex tasks like financial management. AI-powered note-taking tools have ...

The development of multimodal large language models (MLLMs) has brought new opportunities in artificial intelligence. However, significant challenges persist in integrating visual, linguistic, and ...

The development of multimodal large language models (MLLMs) has brought new opportunities in artificial intelligence. However, significant challenges persist in integrating visual, linguistic, and ...