Deploying Deep Neural Networks (DNNs) on edge devices, such as smartphones and autonomous vehicles, remains a significant challenge due to…
Machine Learning
Artificial Life (ALife) research explores the emergence of lifelike behaviors through computational simulations, providing a unique framework to study “life…
Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the…
LLMs have revolutionized software development by automating coding tasks and bridging the natural language and programming gap. While highly effective…
Researchers are focusing increasingly on creating systems that can handle multi-modal data exploration, which combines structured and unstructured data. This…
A direct correlation exists between an LLM’s training corpus quality and its capabilities. Consequently, researchers have invested a great deal…
Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions,…
The development of Transformer models has significantly advanced artificial intelligence, delivering remarkable performance across diverse tasks. However, these advancements often…
Large Language Models (LLMs) have shown significant potential in reasoning tasks, using methods like Chain-of-Thought (CoT) to break down complex…
Formal mathematical reasoning represents a significant frontier in artificial intelligence, addressing fundamental logic, computation, and problem-solving challenges. This field focuses…
Hypernetworks have gained attention for their ability to efficiently adapt large models or train generative models of neural representations. Despite…
Agentic AI systems have revolutionized industries by enabling complex workflows through specialized agents working in collaboration. These systems streamline operations,…
Large language models (LLMs) built using transformer architectures heavily depend on pre-training with large-scale data to predict sequential tokens. This…
Large language models (LLMs) encounter significant difficulties in performing efficient and logically consistent reasoning. Existing methods, such as CoT prompting,…
In today’s world, Multimodal large language models (MLLMs) are advanced systems that process and understand multiple input forms, such as…
Social media platforms have revolutionized human interaction, creating dynamic environments where millions of users exchange information, form communities, and influence…
The semiconductor industry enables advancements in consumer electronics, automotive systems, and cutting-edge computing technologies. The production of semiconductors involves sophisticated…
Large language models (LLMs) are integral to solving complex problems across language processing, mathematics, and reasoning domains. Enhancements in computational…
Machine unlearning is driven by the need for data autonomy, allowing individuals to request the removal of their data’s influence…
Autoregressive (AR) models have changed the field of image generation, setting new benchmarks in producing high-quality visuals. These models break…