In a randomized phase 2b trial (NCT03703102) for adult patients with moderate-to-severe atopic dermatitis (AD), treatment with the T cell rebalancing anti-OX40 receptor antibody rocatinlimab (AMG 451/KHK4083) led to significant improvements in clinical measurements versus placebo including whole-body Eczema Area and Severity Index (EASI) score. AD manifestations can impact variable anatomic regions, and involvement of… →
Video generation has rapidly become a focal point in artificial intelligence research, especially in generating temporally consistent, high-fidelity videos. This area involves creating video sequences that maintain visual coherence across frames and preserve details over time. Machine learning models, particularly diffusion transformers (DiTs), have emerged as powerful tools for these tasks, surpassing previous methods like… →
CONCLUSIONS: A problem-solving intervention with workplace involvement added to CAU did not result in statistically significant reductions in outcomes. Further research is needed to understand why problem-solving interventions appear to have an effect on sick leave in an occupational health services context and not in a primary care context. →
The process of training a deep learning model requires managing many different steps and components. From data preparation to model evaluation, each step is crucial to ensure the model’s success. This checklist is designed to guide you through every essential stage, helping you avoid common pitfalls and build a model that performs well in real-world… →
The quest to strengthen national security has faced several challenges over the years, especially as the pace of technological advancement has far outstripped the speed of legislative and bureaucratic adaptation. With a growing dependence on technology, the need to protect sensitive information and secure communication channels is more pressing than ever. The complexity of cyber… →
Automatic differentiation has transformed the development of machine learning models by eliminating complex, application-dependent gradient derivations. This transformation helps to calculate Jacobian-vector and vector-Jacobian products without creating the full Jacobian matrix, which is crucial for tuning scientific and probabilistic machine learning models. Otherwise, it would require a column for each neural network parameter. Nowadays, everyone… →
In the rapidly evolving field of artificial intelligence, the focus often lies on large, complex models requiring immense computational resources. However, many practical use cases call for smaller, more efficient models. Not everyone has access to high-end GPUs or vast server infrastructures, and numerous scenarios benefit more from smaller, accessible models. Despite advancements, the complexity… →