The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized ...

As memory manufacturers shift production toward AI-oriented products, a growing share of global memory capacity is being directed toward data center applications. Policymakers and industry leaders ...

The prospectus shows DRAM holds Samsung Electronics at 25%, SK hynix at 24%, and Micron Technology at 24%. Those three names account for 73% of net assets. The remaining holdings (Kioxia, SanDisk, ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

A major problem with quantum computers is memory, as the information they contain can be quickly lost. Quantum computers are not yet fully reliable—they are far too unstable. However, all around the ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...

Qualcomm Inc disappoints with Q2 guidance citing global memory shortage. Here's why QCOM shares are well positioned to weather the supply constraints. Qualcomm stock is currently down more than 25% ...

We all know JavaScript's asynchronous model. async/await, Promises, and streams give the illusion that code runs sequentially while magically handling heavy work in the background. But if you've ever ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...