Nature

Accelerating hybrid XOR–CNF Boolean satisfiability problems natively with in-memory computing

The Boolean satisfiability (SAT) problem is a computationally challenging decision problem central to many industrial applications. For SAT problems in cryptanalysis, circuit design, and ...
Nature

Optimizing resource utilization for large scale problems through architecture aware scheduling

With the increasing complexity of computational problems and the exponential growth in number of independent tasks in high-performance computing, Optimizing capabilities and resource utilization has ...
Tech Xplore

Brain-inspired AI architecture could computing faster and far less power-hungry

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...
Geeky Gadgets

AI’s Memory Wall : The Hidden Problem No One’s Talking About

What if the future of artificial intelligence is being held back not by a lack of computational power, but by a far more mundane problem: memory? While AI’s computational capabilities have skyrocketed ...
Morningstar

Breaking the 100M Token Limit: EverMind's MSA Architecture Achieves Efficient End-to-End Long-Term Memory for LLMs

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...
Semiconductor Engineering

Memory Wall Gets Higher

An increasing percentage of the chip area is consumed by the same amount of SRAM for each node shrink. The problem is not limited to leading-edge AI, as it will eventually impact even small MCUs and ...