Neural audio compression has emerged as a critical challenge in digital signal processing, particularly in achieving efficient audio representation while preserving quality. Traditional audio codecs, despite their widespread use, face limitations in achieving lower bitrates without compromising audio fidelity. While recent neural compression methods have demonstrated superior performance in reducing bitrates, they encounter significant challenges… →
BACKGROUND: Focal epilepsy is common in children and adults with mitochondrial disease. Seizures are often refractory to pharmacological treatment and, in this patient group, frequently evolve to refractory focal status epilepticus (also known as epilepsia partialis continua). Where this occurs, the long-term prognosis is poor. Transcranial DC stimulation (tDCS) is a promising, non-invasive, adjunctive treatment… →
Newly diagnosed patients with high-risk acute graft-versus-host disease (aGVHD) often experience poor clinical outcomes and low complete remission rates. Ruxolitinib with corticosteroids showed promising efficacy in improving response and failure free survival in our phase I study. This study (ClinicalTrials.gov: NCT04061876) sought to evaluate the safety and effectiveness of combining ruxolitinib (RUX, 5 mg/day) with… →
INTRODUCTION: Subdural haematomas (SDHs), acute or chronic, are common neurosurgical diagnoses. These problems can occur among patients requiring direct oral anticoagulation (DOAC) for atrial fibrillation. There are currently no guidelines regarding the optimal timing to resume anticoagulation for these patients after SDH. The objective of this study is to evaluate the feasibility of conducting a… →
The advancement of artificial intelligence often reveals new ways for machines to augment human capabilities. Anthropic AI’s latest innovation introduces features designed to overcome critical limitations in AI-human interactions. Specifically, Anthropic AI is tackling the challenges of improving AI’s understanding of nuanced prompts, enabling more creative outputs, and extending AI’s usability in different practical scenarios.… →
In an increasingly interconnected world, understanding and making sense of different types of information simultaneously is crucial for the next wave of AI development. Traditional AI models often struggle with integrating information across multiple data modalities—primarily text and images—to create a unified representation that captures the best of both worlds. In practice, this means that… →
As MLOps becomes an integral part of more businesses, the demand for professionals who can proficiently manage, deploy, and scale machine learning operations is growing rapidly. This guide is for those who have experience in MLOps and are preparing for technical interviews aimed at mid-level to senior positions. It explores advanced interview questions deep into… →
Speech recognition technology has become crucial in various modern applications, particularly real-time transcription and voice-activated command systems. It is essential in accessibility tools for individuals with hearing impairments, real-time captions during presentations, and voice-based controls in smart devices. These applications require immediate, precise feedback, often on devices with limited computing power. As these technologies expand… →
Reinforcement learning (RL) has been pivotal in advancing artificial intelligence by enabling models to learn from their interactions with the environment. Traditionally, reinforcement learning relies on rewards for positive actions and penalties for negative ones. A recent approach, Reinforcement Learning from Human Feedback (RLHF), has brought remarkable improvements to large language models (LLMs) by incorporating… →