Neural operators, specifically Fourier neural operators (FNO), have revolutionized the way researchers approach solving partial differential equations (PDEs), a fundamental ...
As the world of computational science continually evolves, physics-based neural networks (PINN) stand out as an innovative approach to address ...
Understanding the world from a first-person perspective is essential in Augmented Reality (AR), as it introduces unique challenges and significant ...
Monitoring biosignals is crucial for monitoring well-being and preventing the development of serious medical conditions. Today, wearable devices can conveniently ...
A variety of large language models (LLMs) have demonstrated their capabilities in recent times. With the ever-advancing fields of artificial ...
Future models must receive superior feedback for training signals to be effective and thus advance the development of superhuman agents. ...
As language models become increasingly advanced, concerns have arisen around the ethical and legal implications of training them on vast ...
*= Equal taxpayers Federated learning (FL) is a technique for training models using data distributed across devices. Differential Privacy (DP) ...
Training large language models (LLMs) that can naturally handle diverse tasks without extensive task-specific tuning has become more popular in ...
Key points: Last fall, ChatGPT, an ai-powered language model, became the topic of widespread discussion, from light-hearted memes about robots ...
