corpus.blog
41554 blogs · [ { "id": "01a087a7-ff32-73bf-82e5-dd5917209fb0", "title": "A Scalable NorthPole System with End-to-End Vertical Integration for Low-Latency and Energy-Efficient LLM Inference", "url": "https://modha.org/2025/11/a-scalable-northpole-system-with-end-to-end-vertical-integration-for-low-latency-and-energy-efficient-llm-inference/", "published_at": "2025-11-21T05:42:00+00:00" }, { "id": "01a087a7-ff33-73a3-9110-8d0cd82cd185", "title": "PNAS: Can neuromorphic computing help reduce AI’s high energy cost?", "url": "https://modha.org/2025/11/pnas-can-neuromorphic-computing-help-reduce-ais-high-energy-cost/", "published_at": "2025-11-05T02:08:15+00:00" }, { "id": "01a087a7-ff33-73a3-9110-8d0cd88019b2", "title": "Computer History Museum Interview", "url": "https://modha.org/2025/09/computer-history-museum-interview/", "published_at": "2025-09-08T03:25:12+00:00" }, { "id": "01a087a7-ff33-73a3-9110-8d0cd8fe6e8c", "title": "EE Times Interview by Sunny Bains", "url": "https://modha.org/2025/09/ee-times-interview-by-sunny-bains/", "published_at": "2025-09-08T03:23:23+00:00" }, { "id": "01a087a7-ff33-73a3-9110-8d0cd91f58d5", "title": "SiLQ: Simple Large Language Model Quantization-Aware Training", "url": "https://modha.org/2025/09/silq-simple-large-language-model-quantization-aware-training/", "published_at": "2025-09-07T03:27:42+00:00" }, { "id": "01a087a7-ff33-73a3-9110-8d0cd9a205ed", "title": "Breakthrough low-latency, high-energy-efficiency LLM inference performance using NorthPole", "url": "https://modha.org/2024/09/breakthrough-low-latency-high-energy-efficiency-llm-inference-performance-using-northpole/", "published_at": "2024-09-26T15:30:00+00:00" }, { "id": "01a087a7-ff33-73a3-9110-8d0cd9e2526c", "title": "Breakthrough edge AI inference performance using NorthPole in 3U VPX form factor", "url": "https://modha.org/2024/09/breakthrough-edge-ai-inference-performance-using-northpole-in-3u-vpx-form-factor/", "published_at": "2024-09-26T15:15:00+00:00" }, { "id": "01a087a7-ff33-73a3-9110-8d0cdac62775", "title": "NorthPole in The Economist", "url": "https://modha.org/2024/09/northpole-in-the-economist/", "published_at": "2024-09-18T17:32:51+00:00" }, { "id": "01a087a7-ff33-73a3-9110-8d0cdb18fb00", "title": "NorthPole in Computer History Museum", "url": "https://modha.org/2024/07/northpole-in-computer-history-museum/", "published_at": "2024-07-26T02:19:07+00:00" }, { "id": "01a087a7-ff33-73a3-9110-8d0cdc106c18", "title": "NorthPole: Neural Inference at the Frontier of Energy, Space, and Time", "url": "https://modha.org/2023/10/northpole-neural-inference-at-the-frontier-of-energy-space-and-time/", "published_at": "2023-10-19T18:03:57+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7de26dac1", "title": "Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference", "url": "https://modha.org/2023/09/efficient-and-effective-methods-for-mixed-precision-neural-network-quantization-for-faster-energy-efficient-inference/", "published_at": "2023-09-02T17:30:37+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7de89c356", "title": "Neuromorphic scaling advantages for energy-efficient random walk computations", "url": "https://modha.org/2022/03/neuromorphic-scaling-advantages-for-energy-efficient-random-walk-computations/", "published_at": "2022-03-25T19:49:17+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7ded783f4", "title": "Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference", "url": "https://modha.org/2020/01/discovering-low-precision-networks-close-to-full-precision-networks-for-efficient-inference/", "published_at": "2020-01-08T01:08:58+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7df9e6afa", "title": "The TrueNorth Journey: 2008 – 2018 (video)", "url": "https://modha.org/2019/07/the-truenorth-journey-2008-2018-video/", "published_at": "2019-07-02T17:07:12+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7dfc20833", "title": "IEEE Computer Cover Feature — TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years", "url": "https://modha.org/2019/05/ieee-computer-cover-feature-truenorth-accelerating-from-zero-to-64-million-neurons-in-10-years/", "published_at": "2019-05-15T05:58:10+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7e0835314", "title": "Design Awards for NS16e-4 System", "url": "https://modha.org/2019/03/design-awards-for-ns16e-4-system/", "published_at": "2019-03-11T22:30:16+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7e172605a", "title": "PREPRINT: Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing", "url": "https://modha.org/2018/10/preprint-low-precision-policy-distillation-with-application-to-low-power-real-time-sensation-cognition-action-loop-with-neuromorphic-computing/", "published_at": "2018-10-08T22:20:55+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7e1deca34", "title": "Inspiring brains creating brain-inspired computing!", "url": "https://modha.org/2018/09/inspiring-brains-creating-brain-inspired-computing/", "published_at": "2018-09-21T11:22:11+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7e248ba7d", "title": "PREPRINT: Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference", "url": "https://modha.org/2018/09/preprint-discovering-low-precision-networks-close-to-full-precision-networks-for-efficient-embedded-inference/", "published_at": "2018-09-21T00:40:21+00:00" }, { "id": "01a0bb96-2fe1-7314-bc04-87d7e2cc86be", "title": "PBS NOVA: Can We Build a Brain?", "url": "https://modha.org/2018/05/pbs-nova-can-we-build-a-brain/", "published_at": "2018-05-18T22:05:46+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca66f9177f", "title": "Spiking Optical Flow for Event-based Sensors Using IBM’s TrueNorth Neurosynaptic System", "url": "https://modha.org/2017/10/spiking-optical-flow-event-based-sensors-using-ibms-truenorth-neurosynaptic-system/", "published_at": "2017-10-28T16:54:29+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca67793ae9", "title": "Video of Keynote (Commencement Speech) at 2017 UCSD School of Engineering Ring Ceremony", "url": "https://modha.org/2017/10/video-keynote-commencement-speech-2017-ucsd-school-engineering-ring-ceremony/", "published_at": "2017-10-26T06:31:37+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca68261fa3", "title": "Brain-inspired Computing Video Gallery", "url": "https://modha.org/2017/10/brain-inspired-computing-video-gallery/", "published_at": "2017-10-20T09:07:31+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca68d27e6a", "title": "IBM demos event-based gesture recognition using a brain-inspired chip at CVPR 2017", "url": "https://modha.org/2017/10/ibm-demos-event-based-gesture-recognition-using-brain-inspired-chip-cvpr-2017/", "published_at": "2017-10-19T05:44:54+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca692873c2", "title": "Keynote Speech at the Ring Ceremony at UCSD’s Jacobs School of Engineering", "url": "https://modha.org/2017/06/keynote-speech-at-the-ring-ceremony-at-ucsds-jacobs-school-of-engineering/", "published_at": "2017-06-26T00:00:01+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca695fc390", "title": "A Scale-Out Scale-up Synaptic Supercomputer (NS16e-4)", "url": "https://modha.org/2017/06/a-scale-out-scale-up-synaptic-supercomputer-ns16e-4/", "published_at": "2017-06-23T06:51:32+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca69a8ca26", "title": "Breaking News: Supercomputing 2016 Paper — TrueNorth Ecosystem for Brain-Inspired Computing", "url": "https://modha.org/2016/11/breaking-news-supercomputing-2016-paper-truenorth-ecosystem-for-brain-inspired-computing/", "published_at": "2016-11-13T12:12:50+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca6a8d23b9", "title": "2016 Scientist of the Year By R&D Magazine", "url": "https://modha.org/2016/11/2016-scientist-of-the-year-by-rd-magazine/", "published_at": "2016-11-08T07:17:37+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca6ad224fa", "title": "Breaking News: Energy-Efficient Neuromorphic Classifiers", "url": "https://modha.org/2016/09/breaking-news-energy-efficient-neuromorphic-classifiers/", "published_at": "2016-09-23T11:49:13+00:00" }, { "id": "01a0bb9f-5362-72ba-83d0-94ca6ba9c3bf", "title": "Deep learning inference possible in embedded systems thanks to TrueNorth", "url": "https://modha.org/2016/09/deep-learning-inference-possible-in-embedded-systems-thanks-to-truenorth/", "published_at": "2016-09-21T16:01:34+00:00" } ] posts Claim your blog
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modha.org

modha.org

2025

A Scalable NorthPole System with End-to-End Vertical Integration for Low-Latency and Energy-Efficient LLM Inferenceoriginal ↗
21 Nov 2025
PNAS: Can neuromorphic computing help reduce AI’s high energy cost?original ↗
5 Nov 2025
Computer History Museum Intervieworiginal ↗
8 Sept 2025
EE Times Interview by Sunny Bainsoriginal ↗
8 Sept 2025
SiLQ: Simple Large Language Model Quantization-Aware Trainingoriginal ↗
7 Sept 2025

2024

Breakthrough low-latency, high-energy-efficiency LLM inference performance using NorthPoleoriginal ↗
26 Sept 2024
Breakthrough edge AI inference performance using NorthPole in 3U VPX form factororiginal ↗
26 Sept 2024
NorthPole in The Economistoriginal ↗
18 Sept 2024
NorthPole in Computer History Museumoriginal ↗
26 Jul 2024

2023

NorthPole: Neural Inference at the Frontier of Energy, Space, and Timeoriginal ↗
19 Oct 2023
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inferenceoriginal ↗
2 Sept 2023

2022

Neuromorphic scaling advantages for energy-efficient random walk computationsoriginal ↗
25 Mar 2022

2020

Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inferenceoriginal ↗
8 Jan 2020

2019

The TrueNorth Journey: 2008 – 2018 (video)original ↗
2 Jul 2019
IEEE Computer Cover Feature — TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Yearsoriginal ↗
15 May 2019
Design Awards for NS16e-4 Systemoriginal ↗
11 Mar 2019

2018

PREPRINT: Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computingoriginal ↗
8 Oct 2018
Inspiring brains creating brain-inspired computing!original ↗
21 Sept 2018
PREPRINT: Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inferenceoriginal ↗
21 Sept 2018
PBS NOVA: Can We Build a Brain?original ↗
18 May 2018

2017

Spiking Optical Flow for Event-based Sensors Using IBM’s TrueNorth Neurosynaptic Systemoriginal ↗
28 Oct 2017
Video of Keynote (Commencement Speech) at 2017 UCSD School of Engineering Ring Ceremonyoriginal ↗
26 Oct 2017
Brain-inspired Computing Video Galleryoriginal ↗
20 Oct 2017
IBM demos event-based gesture recognition using a brain-inspired chip at CVPR 2017original ↗
19 Oct 2017
Keynote Speech at the Ring Ceremony at UCSD’s Jacobs School of Engineeringoriginal ↗
26 Jun 2017
A Scale-Out Scale-up Synaptic Supercomputer (NS16e-4)original ↗
23 Jun 2017

2016

Breaking News: Supercomputing 2016 Paper — TrueNorth Ecosystem for Brain-Inspired Computingoriginal ↗
13 Nov 2016
2016 Scientist of the Year By R&D Magazineoriginal ↗
8 Nov 2016
Breaking News: Energy-Efficient Neuromorphic Classifiersoriginal ↗
23 Sept 2016
Deep learning inference possible in embedded systems thanks to TrueNorthoriginal ↗
21 Sept 2016