In recent years, text-to-speech (TTS) technology has made significant strides, yet numerous challenges still remain. Autoregressive (AR) systems, while offering diverse prosody, tend to suffer from robustness issues and slow inference speeds. Non-autoregressive (NAR) models, on the other hand, require explicit alignment between text and speech during training, which can lead to unnatural results. The… →
Machine learning for predictive modeling aims to forecast outcomes based on input data accurately. One of the primary challenges in this field is “domain adaptation,” which addresses differences between training and application scenarios, especially when models face new, varied conditions after training. This challenge is significant for tabular finance, healthcare, and social sciences datasets, where… →
Previous studies based on animal models have raised concerns about salbutamol use in ozone air pollution with regard to ozone related lung injury. We conducted a double-blind, randomized, placebo-controlled crossover study including 18 subjects diagnosed with EIB by a eucapnic voluntary hyperpnea (EVH) test. Participants completed 30 min of standardized moderate to vigorous exercise in… →
Introduction Are you looking to make your mark in the field of computer vision? Whether you’re starting out or aiming to brush up on your skills, practical projects are key. They show potential employers what you can do, beyond just your academic credentials. This guide will walk you through several computer vision projects, sorted by… →
Messenger RNA (mRNA) plays a crucial role in protein synthesis, translating genetic information into proteins via a process that involves sequences of nucleotides called codons. However, current language models used for biological sequences, especially mRNA, fail to capture the hierarchical structure of mRNA codons. This limitation leads to suboptimal performance when predicting properties or generating… →
Theory of Mind (ToM) capabilities – the ability to attribute mental states and predict behaviors of others – have become increasingly critical as Large Language Models (LLMs) become more integrated into human interactions and decision-making processes. While humans naturally infer others’ knowledge, anticipate actions, and expect rational behaviors, replicating these sophisticated social reasoning abilities in… →
MicroRNAs (miRNAs) play key roles in human diseases, including cancer and infectious diseases, by regulating gene expression. Modulating miRNAs or their gene targets with small molecules present a potential therapeutic approach for correcting disease-related cellular dysfunctions. However, predicting effective small molecules for specific miRNAs is difficult due to limited data on miRNA-small molecule interactions. Although… →
In a data-driven world, privacy and security have become pressing concerns for individuals and organizations alike. With data breaches and information misuse becoming alarmingly frequent, safeguarding sensitive information is critical. Among the most challenging aspects of data protection is managing Personally Identifiable Information (PII), such as names, addresses, and social security numbers, which are highly… →