Tech Xplore

Researchers break the 'memory wall' in large-scale AI training

South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a chronic bottleneck in large-scale artificial intelligence (AI) training.
IEEE

On Designing High-Performance Distributed Shared Memory Systems with RDMA

Abstract: Remote Direct Memory Access (RDMA) has emerged as a critical networking technology in modern data centers, promising high throughput and ultra-low latencies, in addition to sparing vital CPU ...
IEEE

Coordinated planning of centralized shared energy storage and distributed generation systems for jointly operated industrial parks

Abstract: This paper investigates the optimal design of a centralized shared energy storage system and distributed generation systems for jointly operated industrial parks. A mathematical model is ...
GitHub

ai_arxiv_agent_memory.py

memory, multion, openai_client = Memory.from_config(config), MultiOn(api_key=api_keys['multion']), OpenAI(api_key=api_keys['openai']) """Processes an arXiv search ...
GitHub

ai_arxiv_agent_memory.py

api_keys = {k: st.text_input(f"{k.capitalize()} API Key", type="password") for k in ['openai', 'multion']} memory, multion, openai_client = Memory.from_config(config ...
Scientific Research Publishing

A Multimodal Deep Learning Framework for Early Detection, Mood State Classification, and Episode Prediction in Bipolar Disorder ()

Bipolar disorder (BD) affects approximately 45 million individuals worldwide and is characterized by recurrent episodes of mania, hypomania, and depression, with an average diagnostic delay exceeding ...