Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general population. Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk patients. Ou...
A friend of mine, who works as an HR manager at a MASSIVE corporation you likely know (you probably own their products), shared something deeply unsettling with me. She revealed how her company manipu...
Uncertainty estimation is crucial for machine learning models to detect out-of-distribution (OOD) inputs. However, the conventional discriminative deep learning classifiers produce uncalibrated closed-set predictions for OOD data. A more robust class...
The Yankees -- as we'd been known since 1913, having been the Highlanders their first 10 seasons -- hadn't been a very successful franchise. We came close to winning the pennant just twice -- finis...
Hey everyone, I've been deep in development on an AI-powered marketing automation app ([marketifyall.com](https://marketifyall.com)) designed to be a "command center" for marketers, agencies, and B2B...
Outcome prediction is crucial for head and neck cancer patients as it can provide prognostic information for early treatment planning. Radiomics methods have been widely used for outcome prediction from medical images. However, these methods are limi...
District of Urubamba Province about 80 kilometers (50 miles) northwest of Cusco, above the Sacred Valley and along the Urubamba River, which forms a deep
Mixture-of-Experts (MoE) workloads rely on expert parallelism (EP) to achieve high GPU efficiency. State-of-the-art EP communication systems such as DeepEP demonstrate strong performance but exhibit poor portability across heterogeneous GPU and NIC p...
Yesterday, Mistral has released a new version of its AI assistant **Le Chat** with lots of new features. You can read about these new features on [https://mistral.ai/news/le-chat-dives-deep](https://m...
Neural architecture search (NAS) has been proposed to automatically tune deep neural networks, but existing search algorithms, e.g., NASNet, PNAS, usually suffer from expensive computational cost. Network morphism, which keeps the functionality of a...
Move 37, played by the AI program AlphaGo during the second game of the Google DeepMind Challenge Match against Lee Sedol in March 2016, is considered a landmark moment in the history …
With the advent of social media, our online feeds increasingly consist of short, informal, and unstructured text. This textual data can be analyzed for the purpose of improving user recommendations and detecting trends. Instagram is one of the larges...
Rap generation, which aims to produce lyrics and corresponding singing beats, needs to model both rhymes and rhythms. Previous works for rap generation focused on rhyming lyrics but ignored rhythmic beats, which are important for rap performance. In...
Hey everyone, I wanted to share a deeply disturbing incident that happened to me recently here in DIP 1, Dubai, where I live. A 23 yrs Male , I moved to Dubai about a year ago. Due to low income, I c...
Diseases and pests cause huge economic loss to the apple industry every year. The identification of various apple diseases is challenging for the farmers as the symptoms produced by different diseases may be very similar, and may be present simultane...
New observations with the current generation of advanced radio interferometers, such as ASKAP and MeerKAT, have led to the discovery of new classes of extended radio sources of unknown origin, including the so-called Odd Radio Circles (ORCs). These p...
Deep radio surveys are now producing catalogues with millions of radio sources. Radio sources can have complex morphologies that depend both on the production mechanisms and the local environment. Recently, an unusual class of circular radio sources...
The Organic Rankine Cycle (ORC) is widely used in industrial waste heat recovery due to its simple structure and easy maintenance. However, in the context of smart manufacturing in the process industry, traditional model-based optimization control me...
Lyric-to-melody generation, which generates melody according to given lyrics, is one of the most important automatic music composition tasks. With the rapid development of deep learning, previous works address this task with end-to-end neural network...
The central idea of this paper is to gain a deeper understanding of song lyrics computationally. We focus on two aspects: style and biases of song lyrics. All prior works to understand these two aspects are limited to manual analysis of a small corpu...