This is the deepest and most violent, guttural pain I’ve ever experience. I’ve had both my mother and father die, I’ve experienced mental illness in the past, abuse…. But going through a br...
A broken heart (also known as heartbreak or heartache) is a metaphor for the intense emotional stress or pain one feels at experiencing great loss or deep
X-ray spectroscopy is a sensitive probe of stellar winds. X-rays originate from optically thin shock-heated plasma deep inside the wind and propagate outwards throughout absorbing cool material. Recent analyses of the line ratios from He-like ions...
Chest radiographs are the most common diagnostic exam in emergency rooms and intensive care units today. Recently, a number of researchers have begun working on large chest X-ray datasets to develop deep learning models for recognition of a handful o...
The Drell-Yan massive lepton-pair production in hadronic collisions provides a unique tool complementary to the Deep-Inelastic Scattering for probing the partonic substructures in hadrons. We review key concepts, approximations, and progress for QCD...
Despite the remarkable performance that modern deep neural networks have achieved on independent and identically distributed (I.I.D.) data, they can crash under distribution shifts. Most current evaluation methods for domain generalization (DG) adopt...
Our most intelligent model yet. Learn, build, and plan like never before with Gemini 3.1 Pro’s incredible reasoning powers.
1 day ago · 文章更新时间：2026/03/03 Gemini(双子座) 作为 Google DeepMind 团队开发的旗舰级语言模型，以其卓越的多模态能力和强大的逻辑推理而闻名于世。它在理解和处理文本、图像 …
Gemini 3 seamlessly synthesizes information across text, images, video, audio, and even code to help you learn. Generate code for interactive flashcards, games and experiences to help you …
Efficient wildlife monitoring methods are necessary for biodiversity conservation and management. The combination of remote sensing, aerial imagery and deep learning offer promising opportunities to renew or improve existing survey methods. The compl...
Feb 20, 2026 · Interview with the Vampire — which TV Guide named the best show on TV in 2024 — is a wholly unique experience: a deeply felt romantic drama combined with Grand Guignol …
We utilize Wi-Fi communications from smartphones to predict their mobility mode, i.e. walking, biking and driving. Wi-Fi sensors were deployed at four strategic locations in a closed loop on streets in downtown Toronto. Deep neural network (Multilaye...
As the debate over the future of transportation continues in the midst of the COVID-19 pandemic as a deepening global crisis, taxi industry seems to be not spared by the quick and disrupting changes that may arise from the pandemic. The impact is rel...
Mobile robot navigation in complex and dynamic environments is a challenging but important problem. Reinforcement learning approaches fail to solve these tasks efficiently due to reward sparsities, temporal complexities and high-dimensionality of sen...
Race and ethnicity Imputation from Disease history with Deep LEarning (⭐ 91)
Behavioural biometric authentication systems entail an enrolment period that is burdensome for the user. In this work, we explore generating synthetic gestures from a few real user gestures with generative deep learning, with the application of train...
Radiation therapy requires clinical linear accelerators to be mechanically and dosimetrically calibrated to a high standard. One important quality assurance test is the Winston-Lutz test which localizes the radiation isocentre of the linac. In the cu...
Multi-layer perceptron (MLP) is a fundamental component of deep learning, and recent MLP-based architectures, especially the MLP-Mixer, have achieved significant empirical success. Nevertheless, our understanding of why and how the MLP-Mixer outperfo...
Diffusion MRI (dMRI) plays a crucial role in studying brain white matter connectivity. Cortical surface reconstruction (CSR), including the inner whiter matter (WM) and outer pial surfaces, is one of the key tasks in dMRI analyses such as fiber tract...
Many major oceanographic internal wave observational programs of the last 4 decades are reanalyzed in order to characterize variability of the deep ocean internal wavefield. The observations are discussed in the context of the universal spectral mode...