Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

KuzuMemory provides fast, offline memory capabilities for chatbots and AI systems without requiring LLM calls. It uses pattern matching and local graph storage to remember and recall contextual ...

Patrick Dempsey may still have his silver fox hair and a disarming glint in his eyes, but don't look for comforting hugs and romantic meet-cutes in his latest TV role. No, the one-time "Grey's Anatomy ...

Abstract: Resistive random access memory (RRAM)-based in-memory computing (IMC) architectures are currently receiving widespread attention. Since this computing approach relies on the analog ...

In Episode 2 of Memory of a Killer, Angelo’s double life as a hitman and suburban dad begins to unravel when his daughter Maria discovers a clue about his secret activities. Co-showrunner and ...

Billy is a Senior Features Author for Collider. Having written over 300 articles in just over a year, Billy regularly covers the biggest TV shows and films releasing while also analysing some of the ...

Quantum computers, systems that process information leveraging quantum mechanical effects, will require faster and energy-efficient memory components, which will allow them to perform well on complex ...

Abstract: The use of tethered uncrewed aerial vehicles (TUAVs) is promising for addressing the energy-constraint problems associated with battery-powered aerial vehicles. In addition, integrated ...

AI infrastructure demand drives memory chip price surge Smartphone and PC sales expected to decline due to higher costs Memory chip shortage impacts low- and mid-range device makers most Apple may ...

For years, software stacks kept getting more complex. OpenAI is moving in the opposite direction. This video breaks down how AI is collapsing layers that used to be mandatory. The impact affects ...