#Embedded Software Testing

[gqattech]

Boost Device Performance with Professional Firmware Testing at GQAT Tech

What is Firmware Testing & Why It’s Crucial for Smart Devices

In today's connected world, everything you use from your smartwatch to your smart TV runs on firmware; firmware is low-level software that operates hardware. So what happens when the firmware does not perform as it should? Devices crash, user experience drops, and businesses suffer—this is why firmware testing has become such a significant component of the quality assurance (QA) process.

At GQAT Tech, we perform firmware testing with intelligence using a combination of real hardware environments and automation to verify that every device operates exactly as intended. In this article, we will explore firmware testing, why it matters, and how GQAT Tech empowers you to deliver bug-free, top-performing smart products.

What is Firmware?

Firmware is a class of software that is permanently burned into a hardware item to complete the basic function and potentially further functions of that hardware item.

You’ll find firmware in:

Smartphones

IoT devices

Printers

Wearables

Routers

Smart home appliances

Firmware is unlike software in that it is not intended for frequent updates. Because of that, if there is a bug or unsafe code in the firmware, it may impact the firmware's intent or may compromise the entire device.

What is Firmware Testing?

Firmware testing is the validation and verification to check that the firmware behaves correctly when interacting with hardware and the other components in the system.

The key areas of testing firmware will include:

Functionality – Does the firmware do what it is intended to do?

Stability – Does it crash?

Performance – Is it efficient? Is it quick?

Security –  Is it safe? Does it protect itself from unauthorized use or firmware-level attacks?

Testing firmware is more complicated than testing a software product due to the integration of hardware and software, so it's where GQAT Tech can provide its value here.

Why Firmware Testing is Important

Here’s why skipping firmware testing can lead to serious problems:

Device Failures – Bugs in firmware can crash your entire device.

Security Risks – Weak firmware can open doors to hackers.

Unstable Performance – Devices may freeze, restart, or act unexpectedly.

Poor User Experience – Customers won’t tolerate devices that don’t work properly.

Costly Product Recalls – Fixing bugs after launch can cost millions.

With firmware embedded in critical devices, testing before release is not optional—it’s necessary.

Why GQAT Tech? 

Full-Service QA Team: Specialists in firmware and embedded testing. 

Testing on Real Hardware: Hardware testing—not just simulators. 

Custom Test Plans: Plans tailored to the specifics of your hardware, product goals, and release schedule. 

Detailed Reporting: Bug reporting and test case coverage are clear and easy to understand. 

Time-to-Market Speed: Find and fix firmware bugs earlier in the development cycle. 

GQAT Tech will not only test your product, but it provide the assurance of reliability, scalability, and safety. 

Conclusion 

In a digital world, where the devices must "just work," firmware quality is critically important. Whether you're developing smart home, wearable, or industrial IoT devices, validating firmware will give you confidence that your product will deliver a zero-fail experience. 

💬 Are you ready to approach firmware testing with confidence?

👉 Explore Firmware Testing Services at GQAT Tech

[athrvcloud]

Embedded Software Testing

Athrv Cloud is a trusted provider of Embedded Software Testing services, offering advanced solutions to ensure software reliability, performance, and security. Their expert team uses cutting-edge tools to detect bugs early, streamline development, and improve time-to-market. Athrv Cloud supports industries such as automotive, healthcare, and consumer electronics

[bermondseysblog]

Embedded Software Integration Testing | Bermondsey Electronics Limited

Embedded Software Integration Testing by Bermondsey Electronics Limited focuses on combining and validating multiple software modules as a group. This process ensures that interdependent components function together seamlessly, identifying and addressing integration issues early in the development lifecycle. This strategic approach enhances system reliability and performance, crucial for complex electronic products.

[sffgtrhyjhmnzdt]

Embedded Software Development: A Comprehensive Guide

Embedded software development is a specialized field that focuses on creating software designed to perform specific tasks within a hardware system. Unlike general-purpose software, embedded software operates in real-time, often with limited resources and strict performance requirements. It is integral to the functioning of various devices, from household appliances to complex industrial systems.

The Role of Embedded Software in Modern Technology

Embedded systems are everywhere. They power devices like smartphones, medical instruments, automotive systems, and industrial machines. The software within these systems must be reliable, efficient, and optimized for the hardware it controls. This is where embedded software development becomes crucial. Developers in this field need to have a deep understanding of both software and hardware, ensuring that the software can seamlessly interact with the physical components of the device.

Embedded Software Testing: Ensuring Reliability and Performance

One of the most critical aspects of embedded software development is testing. Embedded software testing in Hyderabad involves rigorous processes to ensure that the software operates correctly within its intended environment. This includes functional testing, performance testing, and stress testing. Given the potential consequences of software failure in embedded systems, testing is not just a step in the development process; it is a continuous, iterative process that runs throughout the lifecycle of the software.

Testing embedded software is often more challenging than testing general-purpose software. This is due to the constraints of the hardware, the need for real-time performance, and the often complex interactions between software and hardware. Effective testing requires specialized tools and techniques, as well as a thorough understanding of the system's requirements.

Embedded System Design Services: Tailoring Solutions to Specific Needs

Given the complexity and specificity of embedded systems, many companies turn to embedded system design services in Hyderabad for developing their products. These services offer expertise in creating custom solutions that meet the unique needs of a project. From initial concept development to final deployment, embedded system design services ensure that the hardware and software work together seamlessly.

These services typically include a range of offerings, such as system architecture design, hardware design, software development, integration, and testing. By leveraging these services, companies can accelerate their development timelines, reduce costs, and improve the quality of their final products.

The Intersection of Embedded Software and Digital Marketing

In today’s digital age, even the most technically oriented industries like embedded software development must consider the role of digital marketing. A digital marketing company in hyderabad specializing in technology services can help embedded system providers reach their target audience more effectively. Through strategies such as content marketing, search engine optimization (SEO), and social media engagement, these companies can increase visibility and drive customer acquisition.

For embedded software development firms, partnering with a digital marketing company can provide a competitive edge. By effectively communicating their expertise in embedded software testing and embedded system design services in Hyderabad, they can attract more clients and projects, ultimately growing their business.

Embedded software development is a complex yet essential component of modern technology. From ensuring the reliability of embedded systems through rigorous testing to creating tailored solutions with the help of embedded system design services, this field requires a high level of expertise. Additionally, the integration of digital marketing strategies can further enhance the reach and success of companies in this industry. By combining technical prowess with effective marketing, embedded software developers can thrive in a competitive market.

[mariacallous]

Margaret Mitchell is a pioneer when it comes to testing generative AI tools for bias. She founded the Ethical AI team at Google, alongside another well-known researcher, Timnit Gebru, before they were later both fired from the company. She now works as the AI ethics leader at Hugging Face, a software startup focused on open source tools.

We spoke about a new dataset she helped create to test how AI models continue perpetuating stereotypes. Unlike most bias-mitigation efforts that prioritize English, this dataset is malleable, with human translations for testing a wider breadth of languages and cultures. You probably already know that AI often presents a flattened view of humans, but you might not realize how these issues can be made even more extreme when the outputs are no longer generated in English.

My conversation with Mitchell has been edited for length and clarity.

Reece Rogers: What is this new dataset, called SHADES, designed to do, and how did it come together?

Margaret Mitchell: It's designed to help with evaluation and analysis, coming about from the BigScience project. About four years ago, there was this massive international effort, where researchers all over the world came together to train the first open large language model. By fully open, I mean the training data is open as well as the model.

Hugging Face played a key role in keeping it moving forward and providing things like compute. Institutions all over the world were paying people as well while they worked on parts of this project. The model we put out was called Bloom, and it really was the dawn of this idea of “open science.”

We had a bunch of working groups to focus on different aspects, and one of the working groups that I was tangentially involved with was looking at evaluation. It turned out that doing societal impact evaluations well was massively complicated—more complicated than training the model.

We had this idea of an evaluation dataset called SHADES, inspired by Gender Shades, where you could have things that are exactly comparable, except for the change in some characteristic. Gender Shades was looking at gender and skin tone. Our work looks at different kinds of bias types and swapping amongst some identity characteristics, like different genders or nations.

There are a lot of resources in English and evaluations for English. While there are some multilingual resources relevant to bias, they're often based on machine translation as opposed to actual translations from people who speak the language, who are embedded in the culture, and who can understand the kind of biases at play. They can put together the most relevant translations for what we're trying to do.

So much of the work around mitigating AI bias focuses just on English and stereotypes found in a few select cultures. Why is broadening this perspective to more languages and cultures important?

These models are being deployed across languages and cultures, so mitigating English biases—even translated English biases—doesn't correspond to mitigating the biases that are relevant in the different cultures where these are being deployed. This means that you risk deploying a model that propagates really problematic stereotypes within a given region, because they are trained on these different languages.

So, there's the training data. Then, there's the fine-tuning and evaluation. The training data might contain all kinds of really problematic stereotypes across countries, but then the bias mitigation techniques may only look at English. In particular, it tends to be North American– and US-centric. While you might reduce bias in some way for English users in the US, you've not done it throughout the world. You still risk amplifying really harmful views globally because you've only focused on English.

Is generative AI introducing new stereotypes to different languages and cultures?

That is part of what we're finding. The idea of blondes being stupid is not something that's found all over the world, but is found in a lot of the languages that we looked at.

When you have all of the data in one shared latent space, then semantic concepts can get transferred across languages. You're risking propagating harmful stereotypes that other people hadn't even thought of.

Is it true that AI models will sometimes justify stereotypes in their outputs by just making shit up?

That was something that came out in our discussions of what we were finding. We were all sort of weirded out that some of the stereotypes were being justified by references to scientific literature that didn't exist.

Outputs saying that, for example, science has shown genetic differences where it hasn't been shown, which is a basis of scientific racism. The AI outputs were putting forward these pseudo-scientific views, and then also using language that suggested academic writing or having academic support. It spoke about these things as if they're facts, when they're not factual at all.

What were some of the biggest challenges when working on the SHADES dataset?

One of the biggest challenges was around the linguistic differences. A really common approach for bias evaluation is to use English and make a sentence with a slot like: “People from [nation] are untrustworthy.” Then, you flip in different nations.

When you start putting in gender, now the rest of the sentence starts having to agree grammatically on gender. That's really been a limitation for bias evaluation, because if you want to do these contrastive swaps in other languages—which is super useful for measuring bias—you have to have the rest of the sentence changed. You need different translations where the whole sentence changes.

How do you make templates where the whole sentence needs to agree in gender, in number, in plurality, and all these different kinds of things with the target of the stereotype? We had to come up with our own linguistic annotation in order to account for this. Luckily, there were a few people involved who were linguistic nerds.

So, now you can do these contrastive statements across all of these languages, even the ones with the really hard agreement rules, because we've developed this novel, template-based approach for bias evaluation that’s syntactically sensitive.

Generative AI has been known to amplify stereotypes for a while now. With so much progress being made in other aspects of AI research, why are these kinds of extreme biases still prevalent? It’s an issue that seems under-addressed.

That's a pretty big question. There are a few different kinds of answers. One is cultural. I think within a lot of tech companies it's believed that it's not really that big of a problem. Or, if it is, it's a pretty simple fix. What will be prioritized, if anything is prioritized, are these simple approaches that can go wrong.

We'll get superficial fixes for very basic things. If you say girls like pink, it recognizes that as a stereotype, because it's just the kind of thing that if you're thinking of prototypical stereotypes pops out at you, right? These very basic cases will be handled. It's a very simple, superficial approach where these more deeply embedded beliefs don't get addressed.

It ends up being both a cultural issue and a technical issue of finding how to get at deeply ingrained biases that aren't expressing themselves in very clear language.

[entitiesandeggbutts]

thanks @just-cosmere-fan for the tag!

Last song: Ticker Don’t Tock by Bitter Ruin

Currently watching: dimension 20 fantasy high sophomore year

3 ships: uhhhh. marcille/falin - dungeon meshi, terumob - mob psycho 100, jade harley/having personal agency - homestuck (truly a doomed ship outside of TLC)

Favorite color: dusky purple, deep greens

Currently consuming: coffee?

First ship: either deryn/aleksander from the leviathan trilogy or thirrin/oksan from the cry of the icemark, can’t remember which i read first

Relationship status: engaged

Last movie: genuinely can’t remember but every dimension 20 ep is movie length does that count

Currently working on: teaching myself more computer science bs

Tagging: @teamrocketgender @skaiawards @lizeon @arrows-for-pens @necrodancerscrypt @scarletpiano and anyone else who wants to play bc man am i bad with remembering usernames on the spot

Tag Game

Thank you @piccolaromana for tagging me❤️ I’m starting a new thread because the other one was really long :D

Tag game: tag 9 people you’d like to get to know better.

Last song: Move Your Body(Alan Walker Remix) by Sia

Currently watching: I've started watching Stranger Things. I'm currently on episode 2. It's interesting. It's the kind of show my teen self would have liked very much. It happens in 80s and there's this sense of nostalgia about it. Especially the soundtrack. Have you ever felt nostalgic about a time you didn't live in? That's how it makes me feel.

3 ships: Frostiron(Loki/Tony Stark)- Erasermic(Aizawa Shouta/Yamada Hizashi) in My Hero Academia- Ineffable Husbands(Crowley/Aziraphale) in Good Omens

Favourite color: Green

Currently consuming: Apple

First ship: Rhett Butler/Scarlett O'Hara in Gone with the Wind

Relationship status: Single

Last movie: Wish

Currently working on: *looks uncomfortably at all the different apps and tabs open* Uhh a couple of things?😅 Some are fandom related and I try to get past my anxiety to actually write them instead of daydreaming about them :D

Tagging: @geehollow @marril96 @tori-artemis @just-cosmere-fan @abby118 @notachair @solostinmysea @starlightbelle @silverloreley and anyone who wants to play consider yourself tagged

[this-week-in-rust]

This Week in Rust 595

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @thisweekinrust.bsky.social on Bluesky or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

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Updates from Rust Community

Official

March Project Goals Update

Newsletters

The Embedded Rustacean Issue #43

Project/Tooling Updates

Shadertoys ported to Rust GPU

Meilisearch 1.14 - composite embedders, embedding cache, granular filterable attributes, and batch document retrieval by ID

rust-query 0.4: structural types and other new features

Observations/Thoughts

Rebuilding Prime Video UI with Rust and WebAssembly

ALP Rust is faster than C++

what if the poison were rust?

A surprising enum size optimization in the Rust compiler

Two Years of Rust

An ECS lite architecture

A 2025 Survey of Rust GUI Libraries

BTrees, Inverted Indices, and a Model for Full Text Search

Cutting Down Rust Compile Times From 30 to 2 Minutes With One Thousand Crates

SIMD in zlib-rs (part 1): Autovectorization and target features

Avoiding memory fragmentation in Rust with jemalloc

[video] Bevy Basics: Who Observes the Observer

Rust Walkthroughs

Rust Type System Deep Dive From GATs to Type Erasure

Async from scratch 1: What's in a Future, anyway? | natkr's ramblings

Async from scratch 2: Wake me maybe | natkr's ramblings

Building a search engine from scratch, in Rust: part 4

Pretty State Machine Patterns in Rust

[video] Build with Naz : Declarative macros in Rust

Miscellaneous

March 2025 Jobs Report

Rust resources

Crate of the Week

This week's crate is wgpu, a cross-platform graphics and compute library based on WebGPU.

Despite a lack of suggestions, llogiq is pleased with his choice.

Please submit your suggestions and votes for next week!

Calls for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization.

If you are a feature implementer and would like your RFC to appear in this list, add a call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

No calls for testing were issued this week by Rust, Rust language RFCs or Rustup.*

Let us know if you would like your feature to be tracked as a part of this list.

RFCs

Rust

Rustup

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Call for Participation; projects and speakers

CFP - Projects

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

rama - add serve command to rama-cli

rama - add support for include_dir for to ServeDir and related

rama - add curl module to rama-http-types

If you are a Rust project owner and are looking for contributors, please submit tasks here or through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

CFP - Events

Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

If you are an event organizer hoping to expand the reach of your event, please submit a link to the website through a PR to TWiR or by reaching out on X (formerly Twitter) or Mastodon!

Updates from the Rust Project

480 pull requests were merged in the last week

Compiler

detect and provide suggestion for &raw EXPR

don't suggest the use of impl Trait in closure parameter

make the compiler suggest actual paths instead of visible paths if the visible paths are through any doc hidden path

tell LLVM about impossible niche tags

remove Nonterminal and TokenKind::Interpolated

re-use Sized fast-path

Library

add core::intrinsics::simd::{simd_extract_dyn, simd_insert_dyn}

initial UnsafePinned implementation (Part 1: Libs)

polymorphize array::IntoIter's iterator impl

speed up String::push and String::insert

std: add Output::exit_ok

Cargo

added symlink resolution for workspace-path-hash

improved error message when build-dir template var is invalid

Rustdoc

search: add unbox flag to Result aliases

enable Markdown extensions when looking for doctests

Clippy

arbitrary_source_item_ordering should ignore test modules

implicit_return: better handling of asynchronous code

accept self.cmp(other).into() as canonical PartialOrd impl

add manual_abs_diff lint

consecutive returns dont decrease cognitive Complexity level anymore

consider nested lifetimes in mut_from_ref

correctly handle bracketed type in default_constructed_unit_struct

deprecate match_on_vec_items lint

do not propose to auto-derive Clone in presence of unsafe fields

fix: iter_cloned_collect false positive with custom From/IntoIterator impl

fix: map_entry: don't emit lint before checks have been performed

fix: redundant_clone false positive in overlapping lifetime

various fixes for manual_is_power_of_two

Rust-Analyzer

ast: return correct types for make::expr_* methods

add children modules feature

add normalizeDriveLetter

distribute x64 and aarch64 Linux builds with PGO optimizations

fix dyn compatibility code bypassing callable_item_signature query

fix a small bug with catastrophic effects

fix an incorrect ExpressionStore that was passed

prevent panics when there is a cyclic dependency between closures

shadow type by module

ignore errors from rustfmt which may trigger error notification

port closure inference from rustc

Rust Compiler Performance Triage

Relatively small changes this week, nothing terribly impactful (positive or negative).

Triage done by @simulacrum. Revision range: e643f59f..15f58c46

1 Regressions, 3 Improvements, 3 Mixed; 2 of them in rollups 35 artifact comparisons made in total

Full report here

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

No RFCs were approved this week.

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

Tracking Issues & PRs

Rust

Split elided_lifetime_in_paths into tied and untied

check types of const param defaults

Stabilize flags for doctest cross compilation

Do not remove trivial SwitchInt in analysis MIR

Implement a lint for implicit autoref of raw pointer dereference - take 2

Implement Default for raw pointers

make abi_unsupported_vector_types a hard error

Stabilize let chains in the 2024 edition

Make closure capturing have consistent and correct behaviour around patterns

Stabilize the cell_update feature

Other Areas

*No Items entered Final Comment Period this week for Rust RFCs, Cargo, Language Team, Language Reference or Unsafe Code Guidelines.

Let us know if you would like your PRs, Tracking Issues or RFCs to be tracked as a part of this list.

New and Updated RFCs

No New or Updated RFCs were created this week.

Upcoming Events

Rusty Events between 2025-04-16 - 2025-05-14 🦀

Virtual

2025-04-16 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

2025-04-17 | Virtual and In-Person (Redmond, WA, US) | Seattle Rust User Group

April, 2025 SRUG (Seattle Rust User Group) Meetup

2025-04-22 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Fourth Tuesday

2025-04-23 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

Beyond embedded - OS development in Rust

2025-04-24 | Virtual (Berlin, DE) | Rust Berlin

Rust Hack and Learn

2025-04-24 | Virtual (Charlottesville, VA, US) | Charlottesville Rust Meetup

Part 2: Quantum Computers Can’t Rust-Proof This!"

2025-05-03 | Virtual (Kampala, UG) | Rust Circle Meetup

Rust Circle Meetup

2025-05-05 | Virtual (Tel Aviv-Yafo, IL) | Rust 🦀 TLV

Tauri: Cross-Platform desktop applications with Rust and web technologies

2025-05-07 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2025-05-08 | Virtual (Berlin, DE) | Rust Berlin

Rust Hack and Learn

2025-05-13 | Virtual (Dallas, TX, US) | Dallas Rust User Meetup

Second Tuesday

Asia

2025-04-22 | Tel Aviv-Yafo, IL | Rust 🦀 TLV

In person Rust April 2025 at Braavos in Tel Aviv in collaboration with StarkWare

Europe

2025-04-19 | Istanbul, TR | Türkiye Rust Community

Rust Konf Türkiye

2025-04-23 | London, UK | London Rust Project Group

Fusing Python with Rust using raw C bindings

2025-04-24 | Aarhus, DK | Rust Aarhus

Talk Night at MFT Energy

2025-04-24 | Edinburgh, UK | Rust and Friends

Rust and Friends (evening pub)

2025-04-24 | Manchester, UK | Rust Manchester

Rust Manchester April Code Night

2025-04-25 | Edinburgh, UK | Rust and Friends

Rust and Friends (daytime coffee)

2025-04-26 | Stockholm, SE | Stockholm Rust

Ferris' Fika Forum #11

2025-04-29 | London, UK | Rust London User Group

LDN Talks April 2025 Community Showcase

2025-04-29 | Paris, FR | Rust Paris

Rust meetup #76

2025-04-30 | Frankfurt, DE | Rust Rhein-Main

Kubernetes Operator in Rust

2025-05-01 | Nürnberg, DE | Rust Nuremberg

Hackers Hike 0x0

2025-05-06 - 2025-05-07 | Paris, FR | WebAssembly and Rust Meetup

GOSIM AI Paris 2025

2025-05-06 | Paris, FR | WebAssembly and Rust Meetup (Wasm Empowering AI)

GOSIM AI Paris 2025 (Discount available)

2025-05-07 | Madrid, ES | MadRust

VII Lenguajes, VII Perspectivas, I Problema

2025-05-07 | Oxford, UK | Oxford Rust Meetup Group

Oxford Rust and C++ social

2025-05-08 | Gdansk, PL | Rust Gdansk

Rust Gdansk Meetup #8

2025-05-08 | London, UK | London Rust Project Group

Adopting Rust (Hosted by Lloyds bank)

2025-05-13 | Amsterdam, NL | RustNL

RustWeek 2025 announcement

2025-05-13 - 2025-05-17 | Utrecht, NL | Rust NL

RustWeek 2025

2025-05-14 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup

North America

2025-04-17 | Mountain View, CA, US | Hacker Dojo

RUST MEETUP at HACKER DOJO

2025-04-17 | Nashville, TN, US | Music City Rust Developers

Using Rust For Web Series 1 : Why HTMX Is Bad

2025-04-17 | Redmond, WA, US | Seattle Rust User Group

April, 2025 SRUG (Seattle Rust User Group) Meetup

2025-04-22 | Detroit, MI, US | Detroit Rust

Rust Community Meet and Conference Report - Ann Arbor

2025-04-23 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2025-04-23 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground 2025-04-23 | Spokane, WA, US | Spokane Rust

Community Show & Tell at Fuel Coworking

2025-04-24 | Atlanta, GA, US | Rust Atlanta

3rd 3RD TIME OMG YES!

2025-04-25 | Boston, MA, US | Boston Rust Meetup

Ball Square Rust Lunch, Apr 25

2025-05-01 | Saint Louis, MO, US | STL Rust

SIUE Capstone Project reflections on Rust

2025-05-03 | Boston, MA, US | Boston Rust Meetup

Boston Common Rust Lunch, May 3

2025-05-08 | México City, MX | Rust MX

Calculando con el compilador: Compiler time vs Run time

2025-05-08 | Portland, OR, US | PDXRust

Apache DataFusion: A Fast, Extensible, Modular Analytic Query Engine in Rust

2025-05-11 | Boston, MA, US | Boston Rust Meetup

Porter Square Rust Lunch, May 11

Oceania

2025-04-22 | Barton, AC, AU | Canberra Rust User Group

April Meetup

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

IEEE 754 floating point, proudly providing counterexamples since 1985!

– Johannes Dahlström on rust-internals

Thanks to Ralf Jung for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, U007D, joelmarcey, mariannegoldin, bennyvasquez, bdillo

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[moose-mousse]

Finally fucking happened! Straight up stared at the boss with my mouth open while he was telling me something. I was saying we need to turn compiler optimization from the weird 01 with extra restrictions to 03. Functions that needs lower can then specify that with #pragma statements. But since those can only LOWER the compiler optimization we need it set to max per default. Boss then told me that we can never increase the compiler optimization level BECAUSE THEN THE COMPILER SOMETIMES CREATES WRONG MACHINE CODE!!! ... there is a limit... on how easy the code I can write I can write code... based on incompetence... Fuck Renesas micro-controllers! And screw my workplace for not starting to move to other micro-controllers the second they realized this!

No_inline means that any function I write will incur the cost of calling the function when the production code runs Normally I can break everything down into tiiiiny functions. 20 lines of code max. Everything is just... SO easy to read, understand, test and modify. And I can write them so they always get optimized away But nope. Cannot do that on an embedded system with no_inline Have to write giant impossible to read piece of shit function with 3-10 levels of abstraction jumps in them. Good luck you poor barstard that have to read my code later. Because I am now on another project. But it is taking a long time for some reason, because the code is unreadable. Anyway, good luck understanding my unreadable code! And then the boss claims we don't have money to change microcontrollers. And I am claiming, we cannot fucking afford to NOT pay for different micro-controllers. Software costs MILLIONS of dollars to develop. We are pissing MILLIONS out the window... So we can save several thousand dollars... Just... "Headdesks"

[unwelcome-ozian]

Engineering Development Group-CIA malware and hacking tools are built by EDG (Engineering Development Group), a software development group within CCI (Center for Cyber Intelligence), a department belonging to the CIA's DDI (Directorate for Digital Innovation). The DDI is one of the five major directorates of the CIA. The EDG is responsible for the development, testing and operational support of all backdoors, exploits, malicious payloads, trojans, viruses and any other kind of malware used by the CIA in its covert operations world-wide. The increasing sophistication of surveillance techniques has drawn comparisons with George Orwell's 1984, but "Weeping Angel", developed by the CIA's Embedded Devices Branch (EDB), which infests smart TVs, transforming them into covert microphones, is surely its most emblematic realization. The attack against Samsung smart TVs was developed in cooperation with the United Kingdom's MI5/BTSS. After infestation, Weeping Angel places the target TV in a 'Fake-Off' mode, so that the owner falsely believes the TV is off when it is on. In 'Fake-Off' mode the TV operates as a bug, recording conversations in the room and sending them over the Internet to a covert CIA server. As of October 2014 the CIA was also looking at infecting the vehicle control systems used by modern cars and trucks. The purpose of such control is not specified, but it would permit the CIA to engage in nearly undetectable assassinations. The CIA's Mobile Devices Branch (MDB) developed numerous attacks to remotely hack and control popular smartphones. Infected phones can be instructed to send the CIA the user's geolocation, audio and text communications as well as covertly activate the phone's camera and microphone. These techniques permit the CIA to bypass the encryption of WhatsApp, Signal, Telegram, Wiebo, Confide and Cloackman by hacking the "smart" phones that they run on and collecting audio and message traffic before encryption is applied.

[gqattech]

https://gqattech.com/compatibility-testing/

https://gqattech.com/firmware-testing/

[gappeo]

Integrating Skill Assessments into Your Existing HR Systems

Introduction

As organizations strive to build a skilled and efficient workforce, integrating skill assessments into existing HR systems has become a crucial strategy. By embedding skill evaluations within HR workflows, companies can enhance hiring accuracy, streamline employee development, and make data-driven workforce decisions. This blog explores the benefits, challenges, and best practices of integrating skill assessments into HR systems, with insights on how platforms like Gappeo can facilitate the process.

Why Integrate Skill Assessments into HR Systems?

Integrating skill assessments within HR platforms offers numerous advantages, including:

Improved Hiring Accuracy: Objective skill evaluations help recruiters identify the most suitable candidates, reducing reliance on resumes alone.

Efficient Onboarding: Pre-assessed skills enable HR teams to tailor onboarding programs, ensuring new hires receive targeted training.

Employee Development & Training: Ongoing skill assessments allow HR teams to track employee growth and implement personalized training programs.

Workforce Planning: Insights from assessments help HR leaders identify skill gaps and plan for future workforce needs.

Key Considerations for Integration

Before incorporating skill assessments into your HR system, consider the following:

Compatibility: Ensure the assessment platform integrates seamlessly with your existing HR software (e.g., ATS, LMS, or HRIS).

Customization: Choose a system that allows tailored assessments aligned with job roles and industry needs.

Scalability: The platform should support growing workforce demands and adapt to evolving skill requirements.

User Experience: Both recruiters and candidates should find the system easy to navigate and engage with.

How Gappeo Simplifies Skill Assessment Integration

Gappeo, a leading talent and skill assessment platform, offers seamless integration with various HR systems. Key features include:

Pre-Built API Integrations: Easily connect with popular HR platforms.

Customizable Assessment Modules: Design skill tests specific to job roles.

Audio and Video Assessments: Enhance evaluation accuracy by analyzing verbal and non-verbal cues.

Comprehensive Reporting: Generate insights to support hiring and workforce development decisions.

Steps to Successfully Integrate Skill Assessments

Evaluate Your HR System: Assess your current HR software capabilities and identify integration points.

Select the Right Assessment Platform: Choose a solution like Gappeo that aligns with your HR objectives.

Customize Assessments: Develop skill tests that reflect the competencies required for different roles.

Pilot Test the Integration: Run a small-scale implementation to ensure seamless functionality.

Train HR Teams: Educate HR personnel on using the integrated system effectively.

Monitor and Optimize: Continuously track performance metrics and refine assessment processes.

Conclusion

Integrating skill assessments into HR systems is a game-changer for talent management, enabling data-backed hiring, employee development, and strategic workforce planning. With solutions like Gappeo, organizations can streamline skill evaluations while ensuring a seamless experience for both HR professionals and candidates.

Ready to enhance your HR processes? Discover how Gappeo can help you integrate skill assessments effortlessly!

[bermondseysblog]

Embedded Software Testing | Bermondsey Electronics Limited

Trust Bermondsey Electronics for Embedded Testing, Software Verification, and Systems Validation. Ensure excellence and reliability in every solution we provide.

[shalu620]

Why Python Will Thrive: Future Trends and Applications

Python has already made a significant impact in the tech world, and its trajectory for the future is even more promising. From its simplicity and versatility to its widespread use in cutting-edge technologies, Python is expected to continue thriving in the coming years. Considering the kind support of Python Course in Chennai Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

Let's explore why Python will remain at the forefront of software development and what trends and applications will contribute to its ongoing dominance.

1. Artificial Intelligence and Machine Learning

Python is already the go-to language for AI and machine learning, and its role in these fields is set to expand further. With powerful libraries such as TensorFlow, PyTorch, and Scikit-learn, Python simplifies the development of machine learning models and artificial intelligence applications. As more industries integrate AI for automation, personalization, and predictive analytics, Python will remain a core language for developing intelligent systems.

2. Data Science and Big Data

Data science is one of the most significant areas where Python has excelled. Libraries like Pandas, NumPy, and Matplotlib make data manipulation and visualization simple and efficient. As companies and organizations continue to generate and analyze vast amounts of data, Python’s ability to process, clean, and visualize big data will only become more critical. Additionally, Python’s compatibility with big data platforms like Hadoop and Apache Spark ensures that it will remain a major player in data-driven decision-making.

3. Web Development

Python’s role in web development is growing thanks to frameworks like Django and Flask, which provide robust, scalable, and secure solutions for building web applications. With the increasing demand for interactive websites and APIs, Python is well-positioned to continue serving as a top language for backend development. Its integration with cloud computing platforms will also fuel its growth in building modern web applications that scale efficiently.

4. Automation and Scripting

Automation is another area where Python excels. Developers use Python to automate tasks ranging from system administration to testing and deployment. With the rise of DevOps practices and the growing demand for workflow automation, Python’s role in streamlining repetitive processes will continue to grow. Businesses across industries will rely on Python to boost productivity, reduce errors, and optimize performance. With the aid of Best Online Training & Placement Programs, which offer comprehensive training and job placement support to anyone looking to develop their talents, it’s easier to learn this tool and advance your career.

5. Cybersecurity and Ethical Hacking

With cyber threats becoming increasingly sophisticated, cybersecurity is a critical concern for businesses worldwide. Python is widely used for penetration testing, vulnerability scanning, and threat detection due to its simplicity and effectiveness. Libraries like Scapy and PyCrypto make Python an excellent choice for ethical hacking and security professionals. As the need for robust cybersecurity measures increases, Python’s role in safeguarding digital assets will continue to thrive.

6. Internet of Things (IoT)

Python’s compatibility with microcontrollers and embedded systems makes it a strong contender in the growing field of IoT. Frameworks like MicroPython and CircuitPython enable developers to build IoT applications efficiently, whether for home automation, smart cities, or industrial systems. As the number of connected devices continues to rise, Python will remain a dominant language for creating scalable and reliable IoT solutions.

7. Cloud Computing and Serverless Architectures

The rise of cloud computing and serverless architectures has created new opportunities for Python. Cloud platforms like AWS, Google Cloud, and Microsoft Azure all support Python, allowing developers to build scalable and cost-efficient applications. With its flexibility and integration capabilities, Python is perfectly suited for developing cloud-based applications, serverless functions, and microservices.

8. Gaming and Virtual Reality

Python has long been used in game development, with libraries such as Pygame offering simple tools to create 2D games. However, as gaming and virtual reality (VR) technologies evolve, Python’s role in developing immersive experiences will grow. The language’s ease of use and integration with game engines will make it a popular choice for building gaming platforms, VR applications, and simulations.

9. Expanding Job Market

As Python’s applications continue to grow, so does the demand for Python developers. From startups to tech giants like Google, Facebook, and Amazon, companies across industries are seeking professionals who are proficient in Python. The increasing adoption of Python in various fields, including data science, AI, cybersecurity, and cloud computing, ensures a thriving job market for Python developers in the future.

10. Constant Evolution and Community Support

Python’s open-source nature means that it’s constantly evolving with new libraries, frameworks, and features. Its vibrant community of developers contributes to its growth and ensures that Python stays relevant to emerging trends and technologies. Whether it’s a new tool for AI or a breakthrough in web development, Python’s community is always working to improve the language and make it more efficient for developers.

Conclusion

Python’s future is bright, with its presence continuing to grow in AI, data science, automation, web development, and beyond. As industries become increasingly data-driven, automated, and connected, Python’s simplicity, versatility, and strong community support make it an ideal choice for developers. Whether you are a beginner looking to start your coding journey or a seasoned professional exploring new career opportunities, learning Python offers long-term benefits in a rapidly evolving tech landscape.

[mariacallous]

Congress is moving closer to putting US election technology under a stricter cybersecurity microscope.

Embedded inside this year’s Intelligence Authorization Act, which funds intelligence agencies like the CIA, is the Strengthening Election Cybersecurity to Uphold Respect for Elections through Independent Testing (SECURE IT) Act, which would require penetration testing of federally certified voting machines and ballot scanners, and create a pilot program exploring the feasibility of letting independent researchers probe all manner of election systems for flaws.

The SECURE IT Act—originally introduced by US senators Mark Warner, a Virginia Democrat, and Susan Collins, a Maine Republican—could significantly improve the security of key election technology in an era when foreign adversaries remain intent on undermining US democracy.

“This legislation will empower our researchers to think the way our adversaries do, and expose hidden vulnerabilities by attempting to penetrate our systems with the same tools and methods used by bad actors,” says Warner, who chairs the Senate Intelligence Committee.

The new push for these programs highlights the fact that even as election security concerns have shifted to more visceral dangers such as death threats against county clerks, polling-place violence, and AI-fueled disinformation, lawmakers remain worried about the possibility of hackers infiltrating voting systems, which are considered critical infrastructure but are lightly regulated compared to other vital industries.

Russia’s interference in the 2016 election shined a spotlight on threats to voting machines, and despite major improvements, even modern machines can be flawed. Experts have consistently pushed for tighter federal standards and more independent security audits. The new bill attempts to address those concerns in two ways.

The first provision would codify the US Election Assistance Commission’s recent addition of penetration testing to its certification process. (The EAC recently overhauled its certification standards, which cover voting machines and ballot scanners and which many states require their vendors to meet.)

While previous testing simply verified whether machines contained particular defensive measures—such as antivirus software and data encryption—penetration testing will simulate real-world attacks meant to find and exploit the machines’ weaknesses, potentially yielding new information about serious software flaws.

“People have been calling for mandatory [penetration] testing for years for election equipment,” says Edgardo Cortés, a former Virginia elections commissioner and an adviser to the election security team at New York University’s Brennan Center for Justice.

The bill’s second provision would require the EAC to experiment with a vulnerability disclosure program for election technology—including systems that are not subject to federal testing, such as voter registration databases and election results websites.

Vulnerability disclosure programs are essentially treasure hunts for civic-minded cyber experts. Vetted participants, operating under clear rules about which of the organizer’s computer systems are fair game, attempt to hack those systems by finding flaws in how they are designed or configured. They then report any flaws they discover to the organizer, sometimes for a reward.

By allowing a diverse group of experts to hunt for bugs in a wide range of election systems, the Warner–Collins bill could dramatically expand scrutiny of the machinery of US democracy.

The pilot program would be a high-profile test of the relationship between election vendors and researchers, who have spent decades clashing over how to examine and disclose flaws in voting systems. The bill attempts to assuage vendors’ concerns by requiring the EAC to vet prospective testers and by prohibiting testers from publicly disclosing any vulnerabilities they find for 180 days. (They would also have to immediately report vulnerabilities to the EAC and the Department of Homeland Security.)

Still, one provision could spark concern. The bill would require manufacturers to patch or otherwise mitigate serious reported vulnerabilities within 180 days of confirming them. The EAC—which must review all changes to certified voting software—would have 90 days to approve fixes; any fix not approved within that timetable would be “deemed to be certified,” though the commission could review it later.

A vendor might not be able to fix a problem, get that fix approved, and get all of its customers to deploy that fix before the nondisclosure period expires.

“Updates to equipment in the field can take many weeks, and modifying equipment close to an election date is a risky operation,” says Ben Adida, the executive director of the vendor VotingWorks.

Some vendors might also chafe at the bill’s legal protections for researchers. The legislation includes a “safe harbor” clause that exempts testing activities from the prohibitions of the Computer Fraud and Abuse Act and the Digital Millennium Copyright Act, and bars vendors from suing researchers under those laws for accidental violations of the program’s terms.

There is also a funding question. The SECURE IT Act doesn’t authorize any new money for the EAC to run these programs.

“I hope Congress accounts for the necessary funding needed to support the increased responsibilities the EAC will take on,” says EAC chair Ben Hovland. “Investments in programs like this are critical to maintaining and strengthening the security of our elections.”

Meanwhile, the bill’s prospects are unclear. Even if it passes the Senate, there is no sign of similar momentum in the House.

[quacheta]

So a few months ago, there was at least one (1) person who got permission to, and started, the project of bookbinding AmevelloBlue's The Ghost in the Shell. And when they tried to print it, it was like 700-800 pages. Which is... a lot.

So I figured, since (1) I also love Ghost in the Shell, (2) I do typesetting semi-professionally, and (3) why the heckers not, I could probably get it down to a more reasonable size.

And I did. And then AmevelloBlue gave me permission to share it here, so.

The Drive Folder With All the Files.

File-specific information below. :)

(Please, for the love of Donnie's banana pancakes, read it. I am trying to answer as many technical questions in advance as I can, so people don't get overwhelmed or confused or frustrated.)

(But also it is a LOT of information, so if you need clarification please ask. This is for to be fun! Not scary!)

There are three parts.

GitS.p8: This is the straight PDF export, done in pages and not spreads. That means each page is its own page (a spread has 2+ to a page) and the pages are in order. If you want a pretty PDF to read on a device, this is what you want. If you want to run it through your own imposition software, this is also what you want.

GitS.p8_typeset: This is the imposition. That means the pages have been rearranged into signatures and spreads for bookbinding. There are 16 pages, or 8 spreads, or 4 sheets of paper (printed double-sided) to each signature. Each signature gets stacked, folded into a booklet, and then stacked on top of the next signature for sewing the book block. THIS IS THE WHOLE BOOK. If you want ONE file to send to the printer, in one straight run, this is what you want.

signatures (folder): These are INDIVIDUAL SIGNATURES. That means each signature is a separate file. If you want to do a test print of a single signature, this is what you want. If you want to run different signatures through different printers, this is what you want. If you want to do this piecemeal for any other reason, this is what you want.

(The last three signatures are three sheets of paper, not four. This is for the sake of balancing page count against structural integrity in the bound book.)

Why would you want different printers, you ask?

Because color printing is expensive. And I used color in the typeset.

The entire thing is designed to still be readable (and pretty!) in a regular, black-and-white printer. Because I wanted this to be accessible to everyone, not just people who can afford color printing. But if you want to split it, and send the signatures-with-colored-bits to a color printer, and save money by NOT sending the whole book, these are the signatures with colored bits:

0, 5, 7, 11, 13, 14, 25, 26, 28, 35

And if that's too many pages still, here are the signatures with the most important colored bits (i.e., the title pages and the illustrations):

0, 7, 35

All of the files are PDFs. All of them, specifically, are PDF/x-1a(2003), which means the color profile is CMYK only and all the fonts are embedded. So nothing should go screwy-whompus when you download it or send it to the printer.

TRIM SIZE: the pages are 5x7.5. This is (1) to allow printing on letter-sized paper more easily, and (2) to also allow for trimming of the book block without screwing over the margins. The imposition and the signature files have trimming / cutting guides (the little lines) for your convenience.

There are 36 signatures total, or 560-something pages (less than 200 sheets of paper, before folding, if printed double-sided). This is still a big book. Big enough that you will need to know about spine swell, and possible rounding and backing, if you decide to do the binding. Please keep that in mind as you plan your project.

EPUB: some people like to convert PDF book files to ePUBs for eBook reading. Due to how I designed the typeset, this is not going to be pretty if you try it with these. I am currently in the final stages of making the eBook for GitS, and will upload the ePUB to the drive folder as soon as it's done. It will not have the pretty background / border illustrations of the print file, but it will be neat and tidy and include the pretty title pages.

I... think that's everything?