At the Africa Raw Materials Summit in Abuja, Nigeria’s innovation minister called for science, technology and partnerships to turn more of Africa’s raw materials into products made on the continent.
Source: Federal Ministry of Information and National Orientation
A preprint describes an analog memory architecture that stores multiple high-dimensional vectors in superposed form, aiming to reduce the number of memory cells needed for neural-network weights and embeddings. The authors say they demonstrate vector storage and retrieval.
Brookhaven, Princeton Plasma Physics Laboratory, DIII-D and Great Sky demonstrated a superconducting neural-network chip on plasma-control tasks. Two tasks used DIII-D data sampled at one million points per second; another used simulated data.
A preprint presents CEMA-Router, an infrastructure-aware method for routing batches of language-model inference requests across cloud and edge resources. The design considers differences in compute capacity, energy efficiency, network conditions and model quality.
The paper introduces a type system for describing clock-sensitive communication protocols between hardware components. It aims to identify mismatches that can lead to unsynchronized exchanges or stalled progress when separately designed components are combined.
Del Monte Foods North America announced two new canned vegetable products: whole-kernel corn seasoned with Hidden Valley Ranch flavor and cut green beans with an Italian-inspired vinaigrette profile.
Researchers propose UnO-NeSy, a unified ferroelectric field-effect transistor in-memory architecture for neuro-symbolic AI. The paper targets the memory demands of combining neural perception with symbolic reasoning and hyperdimensional computing.
The paper studies a hybrid architecture that pairs GPUs with processing-near-memory resources and shared DRAM for large language model inference. It focuses on prefill and decode phases, which stress compute and memory bandwidth differently when serving requests.
A preprint describes an error model based on read/write tests from a low-power ferroelectric RAM chip carried on a CubeSat in low Earth orbit. The authors say observed bit errors often formed regular spatial patterns, which their generative method learned.
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