A new technical paper, “Neural Computers,” was published by researchers at Meta AI and KAUST. Abstract “We propose a new ...
A new technical paper, “Exploring Silent Data Corruption as a Reliability Challenge in LLM Training,” was published by ...
A new technical paper, “Characterizing tip-sample interaction dynamics on extreme ultraviolet nanostructures using atomic ...
A new technical paper, “Photonic chip packaging for extreme environments” was published by NIST, Johns Hopkins and University ...
A new technical paper, “Role of surface states and band modulations in ultrathin ruthenium interconnects,” was published by ...
A new technical paper, “A comparative study on power delivery aspects of compute-in/near-memory approaches using DRAM,” was ...
Towards 100 Million IOPS SSD Emulation for Next-generation GPU-centric Storage Systems,” was published by KAIST. Abstract ...
In the cloud, AI runs in a kind of computational luxury. Thousands of GPUs and CPUs sit in climate-controlled buildings with access to ample power and memory. Utilization may be inefficient—often just ...
A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.
As data rates continue to increase, maintaining reliable links requires careful coordination between the PHY and controller ...
Power delivery now spans stacked dies, interposers, bridges, and packages connected by thousands of micro-bumps and TSVs.
As AI and high‑performance computing systems continue to scale, memory bandwidth has emerged as a primary system‑level ...
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