Learning in simulation and applying the learned policy to the real world is a potential approach to enable generalist robots, and solve complex decision-making tasks. However, the challenge to this approach is to address simulation-to-reality (sim-to-real) gaps. Also, a huge amount of data is needed while learning to solve these tasks, and the load of… →
CONCLUSIONS: Each domain of the Clinical Rating Scale provides unique information on disease state. Validity of the scale is supported by its relationship with the PedsQL. Among the four domains of the Clinical Rating Scale, motor has the highest correlation to PedsQL, suggesting motor function as a driver of patients’ quality of life. The lack… →
Reinforcement Learning (RL) has gained substantial traction over recent years, driven by its successes in complex tasks such as game playing, robotics, & autonomous systems. However, deploying RL in real-world applications necessitates addressing safety concerns, which has led to the emergence of Safe Reinforcement Learning (Safe RL). Safe RL aims to ensure that RL algorithms… →
In recent years, computer vision has made significant strides by leveraging advanced neural network architectures to tackle complex tasks such as image classification, object detection, and semantic segmentation. Transformative models like Transformers and Convolutional Neural Networks (CNNs) have become fundamental tools, driving substantial improvements in visual recognition performance. These advancements have paved the way for… →
Large language models (LLMs), particularly Generative Pre-trained Transformer (GPT) models, have demonstrated strong performance across various language tasks. However, challenges persist in their decoder architecture, Specifically in time-to-first-token (TTFT) and time-per-output token (TPOT). TTFT, reliant on extensive user context, and TPOT, for rapid subsequent token generation, have spurred research into memory-bound solutions like sparsification and… →
Hugging Face has recently introduced LeRobot, a machine learning (ML) model created especially for practical robotics use. LeRobot provides an adaptable platform with an extensive library for advanced model training, data visualization, and sharing. This release represents a major advancement in the goal of increasing robots’ usability and accessibility for a broad spectrum of users.… →
Background: Trauma exposure prevalence and consequent post-traumatic stress disorder among South African adolescents are significant. Sleep disturbances are among the most frequently reported difficulties faced by those dealing with PTSD. The current study examined the feasibility and preliminary efficacy of the South African Adolescence Group Sleep Intervention on PTSD symptom severity and sleep disturbance.Method: Sixty-one… →
CONCLUSIONS: The current trial suggests that VPL-based digital therapeutics may induce clinically meaningful visual improvements in patients with poststroke VFDs. Yet, between-group differences in therapeutic efficacy were not found as NV-C training exhibited unexpected improvement comparable to NV training, possibly due to learning transfer effects. →
BACKGROUND: Prostate cancer (PCa) is the most common non-cutaneous malignancy in men and leads to the second most common cause of cancer related mortality in men. Early detection of PCa allows for a potentially curative intervention. Most men will live over a decade from the time of their PCa diagnosis. Thus, treatments must balance curative… →