Training large-scale Generative AI models can be challenging due to the immense computational resources and time they require. This complexity gives rise to frequent instabilities, manifested as disruptive loss spikes during prolonged training periods. These instabilities can result in costly interruptions, requiring the training process to be paused and restarted. For example, the LLaMA2's 70-billion…
A recent study by researchers at the Massachusetts Institute of Technology (MIT) indicates that when diagnosing skin diseases based on images, doctors are less accurate when the patient has darker skin. The study involved over 1,000 dermatologists and general practitioners. The accuracy rate of dermatologists diagnosing correctly dropped from 38% on images of lighter skin…
A new mobile application named 'Hotshot' claims to enable its users to generate artificial intelligence (AI) group photos. This technology allows one to create images of themselves socializing with friends, even if the event didn’t take place in reality. The app is being touted as a way to be ‘virtually present’ at gatherings when one…
Deep learning and artificial intelligence (AI) have influenced autonomous vehicle technology significantly over the past ten years. Self-driving vehicles rely on advanced decision-making systems that read data from sensors to navigate autonomously. As AI grows, these systems have increased in complexity, with modules dedicated to perception, path planning, behavior arbitration, and motion control. Deep learning…
Computational biology, an essential field that merges biological research and computer science, has been focusing intently on predicting biomolecular structures. The ability to predict such structures accurately can have immense implications in understanding cellular functions and developing new medical therapies. Despite the complex nature of this discipline, it is instrumental in studying proteins, nucleic acids,…
The researchers from Huazhong University of Science and Technology, the University of New South Wales, and Nanyang Technological University have unveiled a novel framework named HalluVault, aimed at enhancing the efficiency and accuracy of data processing in machine learning and data science fields. The framework is designed to detect Fact-Conflicting Hallucinations (FCH) in Large Language…