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KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•39s ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•2m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•2m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•3m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
2•archb•4m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•5m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•6m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•6m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•11m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
3•dragandj•13m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•13m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•15m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•15m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•16m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•18m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•19m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•19m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•19m ago•0 comments

Interactive Unboxing of J Dilla's Donuts

https://donuts20.vercel.app
1•sngahane•21m ago•0 comments

OneCourt helps blind and low-vision fans to track Super Bowl live

https://www.dezeen.com/2026/02/06/onecourt-tactile-device-super-bowl-blind-low-vision-fans/
1•gaws•23m ago•0 comments

Rudolf Vrba

https://en.wikipedia.org/wiki/Rudolf_Vrba
1•mooreds•23m ago•0 comments

Autism Incidence in Girls and Boys May Be Nearly Equal, Study Suggests

https://www.medpagetoday.com/neurology/autism/119747
1•paulpauper•24m ago•0 comments

Wellness Hotels Discovery Application

https://aurio.place/
1•cherrylinedev•25m ago•1 comments

NASA delays moon rocket launch by a month after fuel leaks during test

https://www.theguardian.com/science/2026/feb/03/nasa-delays-moon-rocket-launch-month-fuel-leaks-a...
1•mooreds•25m ago•0 comments

Sebastian Galiani on the Marginal Revolution

https://marginalrevolution.com/marginalrevolution/2026/02/sebastian-galiani-on-the-marginal-revol...
2•paulpauper•28m ago•0 comments

Ask HN: Are we at the point where software can improve itself?

1•ManuelKiessling•29m ago•2 comments

Binance Gives Trump Family's Crypto Firm a Leg Up

https://www.nytimes.com/2026/02/07/business/binance-trump-crypto.html
1•paulpauper•29m ago•1 comments

Reverse engineering Chinese 'shit-program' for absolute glory: R/ClaudeCode

https://old.reddit.com/r/ClaudeCode/comments/1qy5l0n/reverse_engineering_chinese_shitprogram_for/
1•edward•29m ago•0 comments

Indian Culture

https://indianculture.gov.in/
1•saikatsg•32m ago•0 comments

Show HN: Maravel-Framework 10.61 prevents circular dependency

https://marius-ciclistu.medium.com/maravel-framework-10-61-0-prevents-circular-dependency-cdb5d25...
1•marius-ciclistu•32m ago•0 comments
Open in hackernews

Ask HN: How to gain a solid understanding of IMUs?

1•feefifoflux•1mo ago
My background is primarily software (Python, AI/ML, large-scale data). This is my first serious hardware-heavy product.

I’m working on a company concept that depends on embedded IMUs, and I’m trying to front-load learning so I don’t lock myself into poor architectural, software or component decisions early on, especially those pitfalls that someone with more knowledge/expertise would know how to avoid.

I understand “learning by doing” is essential, but I suspect there are canonical pitfalls and resources I should study before committing deeply to hardware.

Here are the parameters of the project:

* The IMU environment will be abusive, with vibrations and impacts. The vibrations and impacts are not the object of analysis (i.e. noise), but I do want to account for them so they do not pollute the data and design the platform so the platform survives.

* I will need low-power/sleep/wake-on-accel in order to achieve the desired battery life.

* The IMUs will transmit to a gateway via bluetooth in short bursts of less than 60 seconds, 10-20 times per day, and sleep the rest of the time.

* There could be 20-40 IMUs transmitting simultaneously.

* The production IMU platform needs to be very short, i.e. height = 3-6mm.

* The implementation requires that the batteries on board are not rechargeable, but last the life of the IMU unit, i.e. 2+ years.

* The way the IMU units are implemented, there should be an opportunity to sample the unit at rest for calibration purposes, e.g. biases, etc.

Here are some subject areas I have marked for further study/inquiry:

* Handling biases

* Kalman filtering

* Error propagation in single/double integration, i.e. velocity and position

* Low-power configuration

* Bluetooth communications

* Battery/power options that meet the 2+ year goal

I am seeking guidance/wisdom to better prepare myself for the core challenges I will face on the IMU/hardware portion of this project.

Specifically, I am seeking cherished, esteemed, favorite resources on the following subjects areas as well as the addition of any resources/subjects you deem important:

* Underlying IMU physics, i.e. first principles

* Handling bias/calibration

* Error propagation, single/double integration

* Kalman filtering for IMU data

* Bluetooth comms for IMUs

* Low-power/sleep configurations

* Battery/power options, i.e. under 5mm, 2+ years

* IATF-16949 compliant manufacturers and how it will benefit the project? Perspectives/opinions?

I have made the standard appeals to Google search and GPT, but I am not convinced I have found all the preliminary materials required for this project to succeed.

Here is an example of a resource that I think is informative, but again, I don't have the expertise to make that judgement definitively: An Introduction to Inertial Navigation by Oliver J. Woodman

FWIW, I am using the Seeed Studio XIAO nRF52840 Sense for prototyping. The inquiry above is for both prototyping and production.

Comments

jeffreygoesto•1mo ago
The iPhone uses Bosch sensors, you might want to check https://www.bosch-sensortec.com/products/motion-sensors/imus...