Auris Tech’s Post

The next phase of Connecticut's Tech Talent Accelerator has launched, thanks to the visionary leadership of the CT Office of Workforce Strategy, working in partnership with the regional business and higher education community to build the state's AI-ready workforce. The team at the Business-Higher Education Forum is honored to be leading this initiative along with our partners at the New England Board of Higher Education and Connecticut Conference of Independent Colleges (CCIC), bringing together employers, state leaders, and colleges, to build critical programs and expand work-based learning pathways. This partnership is a powerful example of how strategic state investment and cross-sector collaboration build resilient regional talent ecosystems. Calling Connecticut College leaders: Applications are now open (through December 5th) to apply and partner with businesses on industry-aligned curriculum design and integrated work experiences. This state-supported opportunity puts you at the forefront of AI talent development and ensuring higher education leads in meeting regional talent priorities. Learn more about how to apply: https://lnkd.in/d3N_xUAZ

🚀 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝗤𝘂𝗶𝗰𝗸 -- Open Infrastructure for Reproducible Computational Research We’re thrilled to announce the launch of ExperQuick, a community‑driven initiative designed to transform how researchers manage experiments and data. 🔍 𝗪𝗵𝗮𝘁 𝘄𝗲’𝗿𝗲 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 Research today is full of complexity: scattered experiment versions, tangled code/configuration, and inconsistent workflows. ExperQuick brings clarity and focus so you can spend less time on "where did I run that code?" and more time on real insight. 🛠 𝗛𝗼𝘄 𝘄𝗲 𝗱𝗲𝗹𝗶𝘃𝗲𝗿  • A domain‑independent framework that works across disciplines (from AI to quantitative analysis)  • Modular workflows and configuration‑driven design, letting you declare experiments instead of writing code again and again  • Hash‑based tracking of pipeline configurations so results are reproducible and traceable  • A very generalized tool, PyLabFlow, ready for you to jump in, customization, control and tracking are in your hands, keep the mess behind. 🌱 𝗪𝗲 𝗮𝗿𝗲 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲! ExperQuick is fully open-source, and we welcome contributions in multiple ways:  • Writing and improving 𝗰𝗼𝗱𝗲  • Enhancing 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻  • Refining and updating the 𝘄𝗲𝗯𝘀𝗶𝘁𝗲 even Your ideas, pull requests, and feedback help make the platform stronger and the research community more connected. 👥 𝗝𝗼𝗶𝗻 𝘂𝘀 Whether you’re a researcher, developer, or institution committed to open science and reproducibility, there’s a spot for you in the ExperQuick community. Let’s build together, share best practices, and lift the burden of experiment chaos. 🔗 𝗦𝘁𝗮𝗿𝘁 𝗵𝗲𝗿𝗲 Check out the website: https://www.experquick.org Explore our GitHub: https://lnkd.in/dqpq-9FC Contact: hello@experquick.org Follow us for updates & contributions. Thank you for being part of this journey. Let’s amplify discovery, one reproducible experiment at a time! #OpenSource #OpenScience #ReproducibleResearch #ResearchInfrastructure #ComputationalResearch #ExperQuick

🚀 𝗘𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲 𝘁𝗵𝗲 𝗟𝗮𝘂𝗻𝗰𝗵 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗤𝘂𝗶𝗰𝗸! It all started with #𝗣𝘆𝗧𝗼𝗿𝗰𝗵𝗟𝗮𝗯𝗙𝗹𝗼𝘄 – 𝗮 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵-𝗳𝗶𝗿𝘀𝘁 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 designed to bring clarity to the chaos of deep learning experiments. You can read more about the motivation behind it in my medium post https://lnkd.in/dbDavHkd and explore the code on github https://lnkd.in/dqNsCjd6. But as I worked on #PyTorchLabFlow, one thing became clear: this is not just a #DeepLearning — it’s a problem across all domains of #Research. That’s why today, I’m thrilled to announce 𝗘𝘅𝗽𝗲𝗿𝗤𝘂𝗶𝗰𝗸 – 𝗮𝗻 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲, 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆-𝗱𝗿𝗶𝘃𝗲𝗻 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 aimed at building tools that simplify research experimentation and workflow tracking across domains. At the heart of ExperQuick is 𝗣𝘆𝗟𝗮𝗯𝗙𝗹𝗼𝘄, a 𝗴𝗲𝗻𝗲𝗿𝗮𝗹𝗶𝘇𝗲𝗱 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 for experiment tracking and reproducible workflows—designed to work seamlessly across projects, frameworks, and domains. 💡 Whether you’re a researcher, #ML engineer, or hobbyist, our mission is to make your experiments 𝗺𝗼𝗿𝗲 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗲𝗱, 𝗿𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝗳𝘂𝗹. Join us on this journey:  • Visit us at: https://ExperQuick.org  • Explore at github: https://lnkd.in/dgRihX8c  • Follow us at: https://lnkd.in/d4BmX66v  • Contact us: hello@experquick.org Let’s make experimentation simpler, faster, and frustration free. #OpenSource #MachineLearning #DeepLearning #ExperimentTracking #ResearchTools #MLTools #PyLabFlow #ExperQuick

🤝 This week, we’re meeting with our partners from the AI4SWeng project at Foundation for Research and Technology - Hellas (FORTH) in Heraklion to review progress and next steps. 💡 During the session, Jorge Vara shared his insights on optimisation of performance monitoring and refinement of the AI4SwEng software blocks — one of ITCL’s main contributions to the project. 🔧 AI4SwEng aims to develop a European, low-energy, large-scale suite for creating multi-purpose software engineering solutions powered by AI and Large Language Models (LLMs). A great opportunity to keep advancing together towards smarter, more efficient software engineering! #AI4SwEng #ArtificialIntelligence #SoftwareEngineering #LLMs #Research #Innovation #EuropeanProjects

For Multiply Labs, the UR Forum wasn’t just helpful, it saved them serious time. 💬 “Other people had already asked the questions we were looking for answers to, so it was really quick to get ramped up.” That’s the power of a strong community: speeding up learning, problem-solving, and innovation. Curious how they did it? Case study here 👇 https://lnkd.in/dywUckR8

For Multiply Labs, the UR Forum wasn’t just helpful, it saved them serious time. 💬 “Other people had already asked the questions we were looking for answers to, so it was really quick to get ramped up.” That’s the power of a strong community: speeding up learning, problem-solving, and innovation. Curious how they did it? Case study here 👇 https://lnkd.in/dyySh3QE

I am excited to announce that an article I wrote evaluating different deliberative tech tools was just published as a Toda Peace Institute Policy brief! https://lnkd.in/eiUi6zjb A few keys takeaways: Stack your tools strategically: Use Talk to the City/Deliberation.io for listening, Pol.is for mapping opinions, and CrowdSmart for final decisions—each tool serves a distinct purpose in the deliberation process. We need a 'deliberation index': The field needs shared metrics beyond participation counts to measure reasoning quality, view change, and engagement depth across different platforms. Collaboration is key: Greater interoperability and universal standards will make deliberative tech more accessible and help us build governance structures that value collective decision-making. I am excited to continue experimenting and see how the deliberative tech community continues to evolve. Special thanks to Victoria Stanski, Lisa Schirch and Rosemary McBryde for their help writing and editing, and to all the students involved in the Common Good AI summer program.

Really appreciate this new Toda Peace Institute brief on deliberative tech tools — and the call for interoperability and shared standards across the field. This is exactly the kind of thinking that inspired the Civic Tech Alliance, where we’re working to connect civic and deliberative platforms through a shared infrastructure — including decentralized identity, data standards, and interoperable civic hubs that make participation seamless across tools and jurisdictions. When we align our efforts, we can unlock network effects for digital democracy — where each new platform, process, and citizen adds value to the whole ecosystem. Exciting to see the deliberative tech community converging on this vision. #CivicTech #DigitalDemocracy #Interoperability #Deliberation #NetworkEffects #CivicTechAlliance

We’re thrilled to share a new publication! Common Good AI’s Senior Associate, Davis Smith, conceptualized and implemented a nine-week program with 25 college volunteers.  We road-tested four deliberative tools–CrowdSmart, Pol.is, Talk to the City, Deliberation.io–to understand their functions and effectiveness, and to identify digital facilitation strategies. The policy brief ends with actionable steps to make these tools easier to use, and better for collective decision-making. -- Davis Smith #CivicTech #DeliberativeDemocracy #PublicDiscourse #AIandSociety #ProsocialDesign #DigitalDemocracy #TechForGood #PublicInterestTechnology #DeliberativeTechnology #CivicInnovation https://lnkd.in/eSXAumbs

The Next Challenge: Collective Synthesis We’ve mastered collective generation—every day, billions of new ideas, models, and drafts emerge from humans and machines working in parallel. The new problem is synthesis. How do we think together when our outputs multiply faster than our meaning can converge? The answer won’t come from more data or more dashboards. It’ll come from collective literacy—the ability to translate across domains, timelines, and intelligences. In the Zero Economy, the scarcest resource is coherence. At Aqua Ideation, we’re experimenting with new forms of collective synthesis—where design fiction, cognitive science, and systems thinking meet to help institutions keep up with the velocity of truth. The work ahead isn’t automation; it’s re-integration. #CollectiveIntelligence #SemanticEconomy #DesignFiction #AIethics #AcademicFutures #AquaIdeation