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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...
Science Daily

T-GPS processes a graph with trillion edges on a single computer?

A research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks. A KAIST research team has developed a new ...
Electronic Design

MoSys’ Graph Memory Engine Accelerator IP Targets Packet Classification on Intel’s Stratix 10 FPGAs

The GME product offering includes software, firmware and RTL and utilizes a common API and common RTL interface to facilitate platform portability. MoSys announced that its Graph Memory Engine (GME) ...
VentureBeat

Mem0's scalable memory promises more reliable AI agents that remembers context across lengthy conversations

Researchers at Mem0 have introduced two new memory architectures designed to enable Large Language Models (LLMs) to maintain coherent and consistent conversations over extended periods. Their ...
GamesRadar+

GDDR6 Memory explained: What it is, and why it matters for next-gen

Memory is vital for any computer – from your home PC or laptop to your smartphone – and it’s also one of the key components of any graphics card, from your PC's GPU to the cores used in any games ...