Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a foundational tool in deep learning, on neuromorphic hardware remains challenging due to its reliance on bidirectional synapses, gradient storage, and nondifferentiable spikes. These issues make it difficult to achieve the precise weight… →
Retrieval-augmented generation (RAG) architectures are revolutionizing how information is retrieved and processed by integrating retrieval capabilities with generative artificial intelligence. This synergy improves accuracy and ensures contextual relevance, creating systems capable of addressing highly specific user needs. Below is a detailed exploration of the 25 types of RAG architectures and their distinct applications. Corrective RAG:… →
Building AI agents that interact with a variety of services presents significant challenges, particularly when it comes to managing authentication. Developers often face the frustration of setting up OAuth flows for Gmail, handling API keys for platforms like Linear, or configuring permissions across multiple services. These processes are complex enough for traditional applications, but AI… →
Alex Garcia has released a major update to sqlite-vec, an extension for SQLite that enables vector search. The latest version, 0.1.6, introduces several new features, including metadata columns, partitioning, and auxiliary columns. These features will improve the efficiency and functionality of vector searches, making the extension more versatile and practical for various use cases. The… →
CONCLUSIONS: The addition of cilostazol to other antiplatelet agents could contribute to the reduction of ISR in the chronic stage of patients who underwent CAS, the authenticity of which depends on further studies with sufficient statistical power. →
INTRODUCTION: Self-management applications are cost-effective and scalable for epilepsy treatment. However, there is a limited long-term quantitative evidence regarding their effectiveness. The Transtheoretical Model (TTM) offers a psychological framework that tailors self-management plans to the individual’s stage of behavioral change. This approach aims to address utilization needs, reduce information overload, minimize the adverse effects of… →
CONCLUSION: The CENBA programme was perceived as a feasible and acceptable mHealth intervention for providing psychoeducational support to Nigerian women with BC undergoing chemotherapy. These findings suggest that the CENBA programme could be a valuable tool in addressing the psychoeducational needs of this population, warranting further investigation in a full-scale RCT. →
BACKGROUND: Increasing HIV testing and treatment coverage among people living with HIV (PLHIV) is essential for achieving global HIV epidemic control. However, compared to women, cis-gender heterosexual men living with HIV are significantly less likely to know their HIV status, initiate anti-retroviral therapy (ART) and achieve viral suppression. This is particularly true in South Africa,… →
CONCLUSIONS AND RELEVANCE: In this randomized clinical trial of centralized screening outreach intervention in diverse patients served by independent FQHCs, CRC screening completion and advanced colorectal neoplasia detection were substantially increased. Future studies should examine the cost and scalability of this intervention in this context. →
Large-scale model training focuses on improving the efficiency and scalability of neural networks, especially in pre-training language models with billions of parameters. Efficient optimization involves balancing computational resources, data parallelism, and accuracy. Achieving this requires a clear understanding of key metrics like the critical batch size (CBS), which plays a central role in training optimization.… →