On April 1, 2026, four astronauts strapped into the Orion spacecraft and rode a rocket into history. Commander Reid Wiseman, pilot Victor Glover and mission specialists Christina Koch and Jeremy ...

There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although ...

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover ...

John Ternus shares simple career lessons for young people entering jobs today. He talks about hard work, learning from others ...

Chinese classics serve not only as a vehicle for learning the Chinese language, but also as a window into Chinese ...

The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...

A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems. By surveying both traditional and Deep Learning-driven approaches, the ...

Current diagnostic criteria for multiple sclerosis (MS) rely heavily on visible white matter lesions (WMLs), which are often non-specific and can also be observed in many MS mimics. DeepMS is a ...

The COVID-19 pandemic and current global health challenges such as pneumonia have reinforced the urgent need for accurate and rapid diagnostic solutions. Chest X-ray is a readily availablemodality for ...

@InProceedings{pstone_simba, author = {Hojoon Lee and Youngdo Lee and Takuma Seno and Donghu Kim and Peter Stone and Jaegul Choo}, title = {Hyperspherical Normalization for Scalable Deep Reinforcement ...

Lithology identification is crucial for characterizing complex unconventional reservoirs, where thin interlayers significantly influence hydrocarbon accumulation. Although deep learning-based methods ...