Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

Scheduled in April in Rio de Janeiro, ICLR 2026 focuses on cutting-edge research on deep learning used in the fields of ...

Scale your YouTube channel with "Prompt to Power." This AI toolkit helps creators script hooks, optimize descriptions, ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

ABSTRACT: With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power systems have intensified, imposing higher demands on real-time ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

Abstract: Operating room (OR) planning and scheduling is a highly complex combinatorial optimization problem that involves patient assignment, OR allocation, and surgical sequencing within a ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Abstract: With the acceleration of urbanization, the construction resource management of civil pipeline engineering construction needs to seek a balance between multiple objectives such as resource ...