The rapid advancement of Large Language Models (LLMs) has sparked interest among researchers in academia and industry alike. Both the Natural Language Processing (NLP) and database communities are exploring the potential of LLMs in tackling the Natural Language to SQL NL2SQL task, which involves converting natural language queries into executable SQL statements consistent with user…
The ability of systems to adapt over time without losing previous knowledge, known as continual learning (CL), poses a significant challenge. While adept at processing large amounts of data, neural networks often suffer from catastrophic forgetting, where acquiring new information can erase what was learned previously. This phenomenon is particularly problematic in environments with restricted…
The rise of quantum computing has opened the doors to transformative innovations that transcend the limits of classical computing. The quantum processing unit (QPU) represents a paradigm shift in computational science, akin to how the GPU revolutionized the world of computing in the 2000s. Let’s delve into how QPUs are poised to complement and potentially…
In today’s rapidly evolving generative AI world, keeping pace requires more than embracing cutting-edge technology. At deepsense.ai, we don’t merely follow trends; we aspire to establish new solutions. Our latest achievement combines Advanced Retrieval-Augmented Generation (RAG) with Small Language Models (SLMs), aiming to enhance the capabilities of embedded devices beyond traditional cloud solutions. Yet, it’s…
Imagine you’re trying to help a friend find their favorite movie to watch, but they’re not quite sure what they’re in the mood for. You could list random movie titles and see if any pique their interest, but that’s pretty inefficient, right? The researchers behind this work had a similar problem – they wanted to…
The burgeoning expansion of the data landscape, propelled by the Internet of Things (IoT), presents a pressing challenge: ensuring data quality amidst the deluge of information. With IoT devices increasingly interconnected and data acquisition costs declining, enterprises are capitalizing on this wealth of data to inform strategic decisions. However, the quality of that data is…
Sleep studies have long been vital to understanding human health, providing insights into how rest affects mental and physical well-being. Polysomnography, which is the standard for diagnosing sleep disorders, utilizes an array of sensors to measure signals during sleep, such as brain waves (EEG), eye movements (EOG), and muscle activity (EMG). Despite its importance, the…
Code interpreters have emerged as pivotal tools in the rapidly evolving field of artificial intelligence, particularly as AI agents take on increasingly complex tasks. Their significance lies in securely enabling AI models to execute code tailored to specific problems. This capability unlocks more advanced problem-solving features within AI applications. The rise of intelligent apps and…
Recent breakthroughs in generative AI and huge language, vision, and multimodal models can be a foundation for open-domain knowledge, inference, and generation capabilities, enabling open-ended task aid scenarios. The capacity to produce pertinent instructions and content is just the beginning of what is needed to construct AI systems that work with humans in the real…
Often perceived as abstract and challenging, physics covers fundamental aspects of the universe, from the tiny world of quantum mechanics to the vast cosmos of general relativity. However, it often comes with intricate mathematical formulations that intimidate many learners. Visual Intuitive Physics is an emerging field that seeks to transform this complexity into accessible visual…