Combining an innovative hybrid data store and intelligent retrieval, Mem0 provides a robust foundation for building ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global breakthrough by developing the first ...

Recent reports estimate that these attacks cost utility providers approximately 101 billion dollars annually. This study presents an approach for anomaly detection in smart grids through energy ...

Setting up a Large Language Model (LLM) like Llama on your local machine allows for private, offline inference and experimentation.

Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

The platform lets developers run transformer models, agents, and LLMs natively on smartphones using an offline Python runtime ...

Gemma 3n models are multimodal by design and available in two sizes that operate with as little as 2GB and 3GB of memory, ...

Power amplifiers (PAs) are essential components in wireless communication systems, and the design of their behavioral models has been an important research topic for many years. The widely used ...

The memory controller is provided as a soft RTL macro for maximum flexibility in features, power, area and performance. The Cadence LPDDR6 solution includes the LPDDR6 Memory Model, which enables ...