Chip Industry Technical Paper Roundup: Apr. 21


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations Neural Computers 🔗 Meta AI, KAUST Characterizing tip-sample interaction dynamics on EUV nanostructures using AFM with a high-aspect ratio tip 🔗 Purdue University, Intel, Bruker  Photonic chip packaging for extreme environments ὑ... » read more

An Engineering Roadmap Toward Completely Neural Computers (Meta AI, KAUST)


A new technical paper, "Neural Computers," was published by researchers at Meta AI and KAUST. Abstract "We propose a new frontier: Neural Computers (NCs) -- an emerging machine form that unifies computation, memory, and I/O in a learned runtime state. Unlike conventional computers, which execute explicit programs, agents, which act over external execution environments, and world models, w... » read more

Chip Industry Technical Paper Roundup: Mar. 11


New technical papers added to Semiconductor Engineering’s library this week. [table id=205 /] More ReadingTechnical Paper Library home » read more

Efficient Streaming Language Models With Attention Sinks (MIT, Meta, CMU, NVIDIA)


A technical paper titled “Efficient Streaming Language Models with Attention Sinks” was published by researchers at Massachusetts Institute of Technology (MIT), Meta AI, Carnegie Mellon University (CMU), and NVIDIA. Abstract: "Deploying Large Language Models (LLMs) in streaming applications such as multi-round dialogue, where long interactions are expected, is urgently needed but poses tw... » read more