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Domandata is built around the methods serious researchers actually use. Complex branching for survey experiments, advanced randomization, and sophisticated quality checks are front and center—no more custom JavaScript and embedded variables just to run a simple survey experiment. Domandata also helps with files related to your survey, like IRB forms, codebook creation, and replication file exports. Built to help you with pre-registration, power analysis, data validation (including our easy-to-use silicon sampling tool), deployment, and detailed exports once your data’s in, Domandata is the central place to organize your best research. Connect AI tools (or opt out by default), collaborate with colleagues in real time, and take your work offline.

The STARLIMS Quality Manufacturing Informatics Platform simplifies complex processes, easily integrates with other tools and systems, and extends data collection beyond the lab with one system, and one partner. Underpinned by our comprehensive technology platform and flexible infrastructure offerings, you have everything you need for a fast launch without compromising on security or functionality. Seamlessly integrate your LIMS with SDMS, LES, ELN, Advanced Analytics, and mobile solutions to meet your Quality Manufacturing needs in and outside the lab.

The AISE TensorFlow 1.8 Python 3.6 CUDA 9.1 Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and deep learning applications. It combines TensorFlow 1.8, Keras, Python 3.6, and Jupyter Notebook, all optimized for NVIDIA GPU acceleration using CUDA 9.1 and cuDNN. This setup provides data scientists and developers with a ready-to-use platform, eliminating the complexities of manual installation and configuration. Key Features and Functionality: - TensorFlow 1.8 and Keras Integration: Leverage the power of TensorFlow 1.8 and Keras for building and training sophisticated machine learning models. - Python 3.6 Support: Utilize Python 3.6, ensuring compatibility with a wide range of libraries and tools. - Jupyter Notebook Interface: Develop and test code interactively using the browser-based Jupyter Notebook environment. - GPU Optimization with CUDA 9.1 and cuDNN: Achieve accelerated computation and reduced training times through NVIDIA GPU support, facilitated by CUDA 9.1 and cuDNN. - Pre-configured Environment: Benefit from a fully integrated setup that minimizes installation hassles and ensures compatibility between components. Primary Value and Problem Solved: This notebook addresses the challenges associated with setting up a machine learning environment by providing a seamless, ready-to-use platform. Users can focus on developing and deploying models without the overhead of configuring software dependencies or optimizing for GPU performance. This streamlined approach enhances productivity and allows for rapid experimentation and iteration in machine learning projects.

Abode is a cloud-based accommodation booking system.

CodeBunk is an online coding interview tool.

LabWare LIMS has been the most technically advanced Laboratory Information Management System since its introduction to the market, and it continues to hold that position today. LabWare delivers a comprehensive and scalable laboratory informatics solution that not only meets the diverse needs of different industries but also enables users to drive innovation, improve decision-making, and achieve operational excellence.

Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-installed, enabling users to deploy and scale machine learning models efficiently on Google Cloud's infrastructure. Key Features and Functionality: - Pre-installed Frameworks: Support for TensorFlow Enterprise, TensorFlow, PyTorch, and generic high-performance computing, catering to various machine learning needs. - Operating System Options: Based on Debian 11 and Ubuntu 22.04, providing flexibility and compatibility with different environments. - Comprehensive Python Environment: Includes Python 3.10 with a suite of libraries such as NumPy, SciPy, Matplotlib, Pandas, NLTK, Pillow, scikit-image, OpenCV, and scikit-learn, facilitating a robust development experience. - JupyterLab Integration: Offers JupyterLab notebook environments for rapid prototyping and interactive development. - GPU Acceleration: Equipped with the latest NVIDIA drivers and packages, including CUDA 11.x and 12.x, CuDNN, and NCCL, to leverage GPU capabilities for accelerated computation. Primary Value and User Solutions: Deep Learning VM Images streamline the setup process for machine learning projects by providing ready-to-use environments with pre-installed frameworks and tools. This reduces the time and effort required for configuration, allowing data scientists and machine learning practitioners to focus on model development and experimentation. The integration with Google Cloud's scalable infrastructure ensures that users can efficiently manage and scale their machine learning workloads, whether they require CPU or GPU resources. Regular updates and community support further enhance the reliability and performance of these VM images, making them a valuable resource for accelerating machine learning initiatives.

MINEO is the platform to explore your data, build and deploy Python supercharged notebooks. It also monitors the quality of your data using machine learning A better Python Notebook --------------------------------- Mineo takes Python notebooks to the next level by adding production-grade features such as: * Switchable layout modes: Notebook, Dashboard and Mobile. * No code Widgets (SQL Query, Graphics, Tables, KPIs, Title, Images, and Forms) to explore and interact with your content without programming. * Integrated SQL Data sources to access databases directly. * Compatible with Jupyter notebooks. Import your existing notebooks from .ipynb or export from mineo to other apps. * Built-in version control system * Ability to share and work collaboratively. * Integrated filesystem to store your data up to 10TB. * Ability to export your notebook to PDF * Support for project wide variables * Support for Python blocks, Markdown, LaTeX and Widgets. * Detailed logs and permissions (view, view code, execute) at user/group level. * Automatic code generation powered by OpenAI.

Thermo Fisher SampleManager LIMS delivers laboratory management, data management, (SDMS) and process execution/procedural ELN (LES) capabilities in a single solution. Laboratories across all industries, including pharmaceutical, food and beverage, oil and gas, petrochemical, water and environmental, manufacturing and contract testing rely on SampleManager LIMS to unlock the power of their laboratory data.

Kubeflow is an open-source platform designed to facilitate the deployment, orchestration, and management of machine learning (ML) workflows on Kubernetes. It provides a comprehensive suite of tools that cover the entire ML lifecycle, enabling data scientists and engineers to develop, train, and deploy models efficiently in scalable and portable environments. Key Features and Functionality: - Kubeflow Notebooks: Offers web-based development environments, such as Jupyter Notebooks, running inside Kubernetes pods, allowing for interactive model development. - Kubeflow Pipelines: Enables the creation and deployment of portable, scalable ML workflows using Kubernetes, promoting consistency and reproducibility. - Kubeflow Trainer: Supports distributed training across various AI frameworks, including PyTorch, Hugging Face, DeepSpeed, MLX, JAX, and XGBoost, facilitating large-scale model training. - Kubeflow Katib: Provides automated machine learning capabilities, including hyperparameter tuning, early stopping, and neural architecture search, to optimize model performance. - Kubeflow KServe: Delivers a standardized platform for serving ML models across multiple frameworks, ensuring scalable and efficient model inference. - Kubeflow Model Registry: Acts as a centralized repository for managing ML models, versions, and associated metadata, bridging the gap between model experimentation and production deployment. Primary Value and Problem Solved: Kubeflow addresses the complexities associated with deploying and managing ML workflows by leveraging Kubernetes' scalability and portability. It abstracts the intricacies of containerization, allowing users to focus on building, training, and deploying models without worrying about the underlying infrastructure. By automating various stages of the ML lifecycle, Kubeflow enhances reproducibility, efficiency, and collaboration among data scientists and engineers, ultimately accelerating the development and deployment of machine learning solutions.

SciSure (formerly known as eLabNext and SciShield) unifies experiment documentation, sample tracking, safety oversight, and system integrations in one connected platform.

OneBookPlus is an all-in-one business management platform built for Australian small to medium businesses. It combines invoicing, CRM, online bookings, quoting, accounting, point of sale, rostering, and marketing into a single app - replacing the need for separate subscriptions to tools like Xero, HubSpot, Calendly, Mailchimp, and Square. Key capabilities include GST-compliant invoicing with automated payment reminders, a full CRM with client timelines and deal pipeline, 24/7 online booking pages with Google Calendar sync, BAS-ready accounting and tax reports, restaurant and retail point of sale, employee rostering with payroll, ATO tax lodgement, and a modular App Marketplace for add-ons like Google Reviews, Google Ads, and Facebook Ads management. Every feature is designed for Australian compliance - GST calculations, ABN validation, ATO reporting, and AUD formatting are built in from day one. OneBookPlus offers a free plan with no credit card required, with paid plans starting at $29/month. Australian owned and operated, with data hosted in Australia.

Tar is a unified multimodal large language model (LLM) developed by ByteDance, designed to seamlessly integrate visual understanding and generation within a shared discrete semantic framework. By employing the Text-Aligned Tokenizer (TA-Tok), Tar converts images into discrete tokens aligned with a large language model's vocabulary, enabling efficient cross-modal processing without the need for modality-specific adaptations. Key Features and Functionality: - Text-Aligned Tokenizer (TA-Tok): Transforms images into discrete tokens using a codebook derived from an LLM's vocabulary, facilitating a unified representation for both text and visual data. - Unified Multimodal Processing: Allows for cross-modal input and output through a shared interface, eliminating the necessity for separate designs for different data modalities. - Scale-Adaptive Encoding and Decoding: Balances computational efficiency with visual detail, ensuring high-quality visual outputs without excessive resource consumption. - Generative De-Tokenizer: Employs both autoregressive and diffusion-based models to decode visual tokens back into high-fidelity images. - Advanced Pre-Training Tasks: Enhances modality fusion, leading to improved performance in both visual understanding and generation tasks. Primary Value and User Solutions: Tar addresses the challenge of integrating visual and textual data by providing a unified framework that simplifies cross-modal tasks. This integration leads to faster convergence and greater training efficiency, benefiting applications that require seamless processing of both text and images. By eliminating the need for modality-specific designs, Tar streamlines development processes and enhances the performance of multimodal applications.

Quartzy's connected lab solution combines supply requests, up to date inventory management, shopping, purchasing, and integrations with other software products. All in a single platform.

SciCord is an Electronic Laboratory Notebook designed for Pharmaceutical Drug Development. The SciCord ELN is designed around the Spreadsheet Paradigm. This allows for the tool to be accepted quickly and for training to be minimal. Existing spreadsheets used within the lab can be transferred into the SciCord ELN.

WordPerfect Office Standard is a comprehensive office suite designed to meet the diverse needs of professionals and businesses. It offers a robust set of applications, including a word processor, spreadsheet tool, presentation software, and more, all aimed at enhancing productivity and streamlining document management tasks. With its user-friendly interface and extensive compatibility with various file formats, WordPerfect Office Standard provides a reliable solution for creating, editing, and sharing documents efficiently. Key Features and Functionality: - WordPerfect Word Processor: Craft documents, letters, brochures, and resumes with ease. The powerful Reveal Codes feature allows precise control over document formatting. - Quattro Pro Spreadsheet Application: Develop comprehensive spreadsheets for budgets, invoices, expenses, and receipts. It supports opening, editing, and creating files compatible with Microsoft Excel. - Presentations Slideshow Creator: Design and deliver captivating presentations, proposals, and interactive reports. It ensures compatibility with Microsoft PowerPoint files and supports wireless remotes for seamless delivery. - WordPerfect Lightning Digital Notebook: Collect text and images from multiple sources, then reuse the content by exporting documents, sending emails, or posting to blogs. - Paradox Database Management System: Easily track, manage, and retrieve data with reliability and flexibility. - AfterShot 3 Photo-Editing and Management: Quickly learn professional-grade photo editing with tools for easy corrections, enhancements, and batch processing. - Corel MultiCam Capture Lite: Capture video from multiple cameras, including built-in webcams and your computer screen, synchronizing all videos for seamless compilation. Primary Value and Solutions Provided: WordPerfect Office Standard addresses the essential needs of professionals and businesses by offering a versatile and integrated suite of applications. It simplifies the creation and management of various document types, from text documents and spreadsheets to presentations and databases. The suite's compatibility with over 60 file formats, including Microsoft Office files, ensures smooth collaboration and file exchange. Features like Reveal Codes provide users with precise control over document formatting, enhancing the quality and professionalism of their work. Additionally, the inclusion of tools like AfterShot 3 and Corel MultiCam Capture Lite extends the suite's functionality to photo editing and video capture, catering to a wide range of multimedia needs. Overall, WordPerfect Office Standard delivers a comprehensive solution that enhances productivity, fosters collaboration, and meets the diverse demands of modern workplaces.

Amazon FinSpace is a fully managed data management and analytics service tailored for the financial services industry. It streamlines the process of storing, cataloging, and preparing financial data at scale, significantly reducing the time required for analysis from months to minutes. By integrating various data sources, including internal systems and third-party feeds, FinSpace enables financial organizations to efficiently manage and analyze vast datasets. Key Features and Functionality: - Data Integration and Cataloging: FinSpace allows users to collect data from multiple sources and catalog it by relevant business concepts such as asset class, risk classification, or geographic region, facilitating easy discovery and sharing across the organization. - Built-in Analytics Library: The service includes a library of over 100 functions, such as time bars and Bollinger bands, to prepare data for analysis. Users can also integrate their own functions and notebooks for customized analytics. - Managed kdb Insights: FinSpace provides a managed kdb Insights analytics engine, optimized for analyzing real-time and historical time-series data, commonly used in capital markets for tasks like options pricing and backtesting. - Secure and Scalable Data Management: Data is encrypted using AWS Key Management Service (KMS) keys, and the system scales seamlessly as data volumes grow. High-performance caching accelerates queries, and built-in database versioning allows users to query data as it existed at previous points in time. - Compliance and Audit Controls: FinSpace enforces data access controls and maintains audit logs, supporting organizations' compliance requirements by tracking data access and usage. Primary Value and User Solutions: Amazon FinSpace addresses the challenges financial services organizations face in managing and analyzing large volumes of data. By automating the undifferentiated tasks required to provision, integrate, and secure infrastructure for kdb Insights, FinSpace enables users to deploy new applications in minutes, reducing operational overhead. Its scalable and secure environment allows for efficient data management, while the integrated analytics tools empower users to perform complex analyses, such as backtesting trading algorithms and conducting pre/post-trade analytics, thereby enhancing decision-making processes and operational efficiency.

PerkinElmer Signals™ Notebook is a powerful new web based Electronic Lab Notebook, enabling users to instantly author and manage notebooks and experiments, facilitating Scientific Collaboration.

Notebook Agency is a boutique search agency based in Toronto, founded by Steve Toth. We help brands get found and cited in both Google and LLMs like ChatGPT and Google's AI Mode. Our work covers SEO, AEO, GEO and LLM visibility. Our approach is built on the Truth Alignment Framework, with a focus on non-commodity content and practitioner-level precision. Our team brings over 16 years of SEO leadership to every engagement. We mainly serve enterprise B2B SaaS and fintech companies. Clients include Fortune 500 and Magnificent 7 companies, along with fast growing startups like Botpress and Spellbook, and established companies including Health Canada, Porter Airlines and RBC.