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… →
CONCLUSIONS: Novel 3D MACE system is more advanced diagnostic modality than the conventional MACE. And it is possible to perform serial upper gastrointestinal and small bowel examination as a non-invasive and one-step test. It would be also served as a bridge to pan-endoscopy. →
INTRODUCTION: Cardiovascular diseases (CVD) are a group of illnesses that include coronary heart disease, cerebrovascular disease, congenital heart disease and deep vein thrombosis. Major surgery is often chosen as the treatment of choice for CVD. The concept of fast-track rehabilitation after surgery appeared in the 1970s. Participation in these exercise-based prehabilitation programmes may decrease postoperative… →
CONCLUSION: Amoxicillin + Clavulanic acid EXPRESS has high therapeutic efficacy in the treatment of acute streptococcal tonsillopharyngitis, comparable to the Amoxiclav in film-coated tablets. At the same time, dispersible tablets of Amoxicillin + Clavulanic acid EXPRESS demonstrated a significantly higher safety profile compared to the simple tablet form. →
Venetoclax, a highly selective BCL-2 inhibitor, combined with hypomethylating agents (HMAs) azacitidine or decitabine, is approved for the treatment of newly diagnosed acute myeloid leukemia (ND AML) in patients who are ineligible to receive intensive chemotherapy. Previous clinical studies initiated venetoclax plus HMA in an inpatient setting owing to concerns of tumor lysis syndrome (TLS).… →