At NVIDIA GTC25, Gnani.ai experts unveiled groundbreaking advancements in voice AI, focusing on the development and deployment of Speech-to-Speech Foundation Models. This innovative approach promises to overcome the limitations of traditional cascaded voice AI architectures, ushering in an era of seamless, multilingual, and emotionally aware voice interactions. The Limitations of Cascaded Architectures Current state-of-the-art architecture… →
Lowe’s, a leading home improvement retailer with 1,700 stores and 300,000 associates, is establishing itself as a pioneer in AI innovation. In a recent interview at Nvidia GTC25, Chandu Nair, Senior VP of Data, AI, and Innovation at Lowe’s, unveiled the company’s strategic vision, highlighting the transformative impact of AI on customer experience and operational… →
Machine Translation (MT) has emerged as a critical component of Natural Language Processing, facilitating automatic text conversion between languages to support global communication. While Neural Machine Translation (NMT) has revolutionized the field by employing deep learning techniques to capture complex linguistic patterns and contextual dependencies, significant challenges persist. Current NMT systems struggle with accurately translating… →
Multimodal reasoning is an evolving field that integrates visual and textual data to enhance machine intelligence. Traditional artificial intelligence models excel at processing either text or images but often struggle when required to reason across both formats. Analyzing charts, graphs, mathematical symbols, and complex visual patterns alongside textual descriptions is crucial for applications in education,… →
VLMs have shown notable progress in perception-driven tasks such as visual question answering (VQA) and document-based visual reasoning. However, their effectiveness in reasoning-intensive tasks remains limited due to the scarcity of high-quality, diverse training datasets. Existing multimodal reasoning datasets have several shortcomings: some focus too narrowly on specific scientific imagery, others rely on synthetic data… →
CONCLUSIONS AND RELEVANCE: In this cluster randomized clinical trial of rural clinics, mailed FIT outreach and patient navigation boosted participation in CRC screening among Medicaid enrollees. More efforts are needed to address low participation in both FIT testing and follow-up colonoscopy. →
BACKGROUNDImmune checkpoint blockade (ICB) is an effective treatment in a subset of patients diagnosed with head and neck squamous cell carcinoma (HNSCC); however, the majority of patients are refractory.METHODSIn a nonrandomized, open-label Phase 1b clinical trial, participants with recurrent and/or metastatic (R/M) HNSCC were treated with low-dose 5-azacytidine (5-aza) daily for either 5 or 10… →
BACKGROUNDThis study examined the underlying cellular mechanisms associated with insulin resistance (IR) and metabolic disease risk within subcutaneous adipose tissue (SAT) in youth with obesity and IR compared with those without IR.METHODSThirteen adolescents who were insulin sensitive (IS) and 17 adolescents with IR and obesity underwent a 3-hour oral glucose tolerance test and MRI to… →
CONCLUSION: High-dose vitamin D₃ supplementation is more effective than low-dose supplementation in reducing tic severity and increasing serum 25(OH)D levels in children with CTDs. These findings suggest that high-dose vitamin D₃ may serve as a valuable adjunctive therapy for managing CTDs. →
Machine learning has expanded beyond traditional Euclidean spaces in recent years, exploring representations in more complex geometric structures. Non-Euclidean representation learning is a growing field that seeks to capture the underlying geometric properties of data by embedding it in hyperbolic, spherical, or mixed-curvature product spaces. These approaches have been particularly useful in modeling hierarchical, structured,… →