National Geographic’s series takes a detailed look at how engineering failures, government missteps, and media chaos turned a natural disaster into a national catastrophe.

The field of graph foundation models (GFMs) has seen a dramatic rise in interest in recent years. Their powerful generalization ability is believed to be endowed by self-supervised pre-training and ...

In this research, we have modified the TSMixer model for sales forecasting by amalgamating customer satisfaction levels regarding a specific product. This enhancement allows the model to account for ...

Weigh in via this brief survey, and learn how 2023 Trucker of the Year Jay Hosty achieved 100,000-mile oil changes with his ...

Suppliers who procure fresh products from spot markets and sell them through online fresh stores have become increasingly prevalent. This article develops a game-theoretic model to analyze the ...

Efficiently training large language models (LLMs) on commodity cloud resources remains challenging due to limitations in network bandwidth and accelerator memory capacity. Existing training systems ...

In contrast to existing traffic prediction models, large language models (LLMs) progress mainly through parameter expansion and extensive pre-training while maintaining their fundamental structures.

Henry Samuel, Heidi Klum and Seal's eldest son, is now represented by NEXT Management The 19-year-old made his debut at Paris ...

In the realm of large vision language models (LVLMs), jailbreak attacks serve as a red-teaming approach to bypass guardrails and uncover safety implications. Existing jailbreaks predominantly focus on ...

A group of scientists from the Ecole Polytechnique Fédérale de Lausanne (EPFL) has developed a bottom-up techno-economic model to assess perovskite solar module manufacturing costs and feasibility.

Recent advances have heightened the interest in the adversarial transferability of Vision-Language Pre-training (VLP) models. However, most existing strategies constrained by two persistent ...

A significant security risk stemming from large language models (LLMs) has been uncovered by security researchers. When asked simple, natural-language questions about where to log in to various ...