We’ve celebrated an extraordinary breakthrough while largely postponing the harder question of whether the architecture we’re scaling can sustain the use cases promised.
Morning Overview on MSN
New memory design lets AI think longer and faster with no extra power
Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...
Learn how to run local AI models with LM Studio's user, power user, and developer modes, keeping data private and saving monthly fees.
The release of EXPO 1.2 is perhaps not as interesting as what it represents for the future of AMD's processors.
Online gambling games have evolved in two major ways. In the first approach, the games are conducted through software ...
Researchers have created a new kind of 3D computer chip that stacks memory and computing elements vertically, dramatically ...
The GeForce RTX 50 Series line of GPUs comes equipped with Tensor Cores designed for AI operations capable of achieving up to ...
Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by over 90%
Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
Abstract: We propose Distributed Universal Max-Weight (DUMW) as a novel optimal control framework for distributed wireless SDN. DUMW is theoretically throughput-optimal and practically congruent with ...
Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing
Abstract: The rapid advancement of neuromorphic technology aims to address the memory wall challenge inherent in conventional von Neumann architectures. This paper critically examines current digital ...
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