Alternatives to Synaptic

Quickly identify any new or unfamiliar devices accessing your network with Ivanti Neurons for Discovery, which provides precise and actionable asset details within minutes. You can track which users and devices are connecting to your network, the timing of these connections, and the software installed on those endpoints. Enjoy real-time visibility through both active and passive scanning methods, along with integration from third-party connectors. Gain valuable insights with a standardized inventory of hardware and software, while software usage data is seamlessly integrated into configuration management and asset management systems, complemented by thorough service maps. As a certified inventory management partner of Google, Ivanti Neurons for Discovery allows for the import and alignment of Google OS devices from Google Workspace using the Google Chrome Enterprise connector, ensuring that customers maintain a comprehensive view of their assets irrespective of their unified endpoint management solutions. This capability not only enhances asset visibility but also streamlines the management process across varied platforms.

NeuroIntelligence is an advanced software application that leverages neural networks to support professionals in data mining, pattern recognition, and predictive modeling as they tackle practical challenges. This application includes only validated neural network modeling algorithms and techniques, ensuring both speed and user-friendliness. It offers features such as visualized architecture search, along with comprehensive training and testing of neural networks. Users benefit from tools like fitness bars and comparisons of training graphs, while also monitoring metrics like dataset error, network error, and weight distributions. The program provides a detailed analysis of input importance, alongside testing tools that include actual versus predicted graphs, scatter plots, response graphs, ROC curves, and confusion matrices. Designed with an intuitive interface, NeuroIntelligence effectively addresses issues in data mining, forecasting, classification, and pattern recognition. Thanks to its user-friendly GUI and innovative time-saving features, users can develop superior solutions in significantly less time. This efficiency empowers users to focus on optimizing their models and achieving better results.

Neuralhub is a platform designed to streamline the process of working with neural networks, catering to AI enthusiasts, researchers, and engineers who wish to innovate and experiment in the field of artificial intelligence. Our mission goes beyond merely offering tools; we are dedicated to fostering a community where collaboration and knowledge sharing thrive. By unifying tools, research, and models within a single collaborative environment, we strive to make deep learning more accessible and manageable for everyone involved. Users can either create a neural network from the ground up or explore our extensive library filled with standard network components, architectures, cutting-edge research, and pre-trained models, allowing for personalized experimentation and development. With just one click, you can construct your neural network while gaining a clear visual representation and interaction capabilities with each component. Additionally, effortlessly adjust hyperparameters like epochs, features, and labels to refine your model, ensuring a tailored experience that enhances your understanding of neural networks. This platform not only simplifies the technical aspects but also encourages creativity and innovation in AI development.

Chainer is a robust, adaptable, and user-friendly framework designed for building neural networks. It facilitates CUDA computation, allowing developers to utilize a GPU with just a few lines of code. Additionally, it effortlessly scales across multiple GPUs. Chainer accommodates a wide array of network architectures, including feed-forward networks, convolutional networks, recurrent networks, and recursive networks, as well as supporting per-batch designs. The framework permits forward computations to incorporate any Python control flow statements without compromising backpropagation capabilities, resulting in more intuitive and easier-to-debug code. It also features ChainerRLA, a library that encompasses several advanced deep reinforcement learning algorithms. Furthermore, with ChainerCVA, users gain access to a suite of tools specifically tailored for training and executing neural networks in computer vision applications. The ease of use and flexibility of Chainer makes it a valuable asset for both researchers and practitioners in the field. Additionally, its support for various devices enhances its versatility in handling complex computational tasks.

The Microsoft Cognitive Toolkit (CNTK) is an open-source framework designed for high-performance distributed deep learning applications. It represents neural networks through a sequence of computational operations organized in a directed graph structure. Users can effortlessly implement and integrate various popular model architectures, including feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). CNTK employs stochastic gradient descent (SGD) along with error backpropagation learning, enabling automatic differentiation and parallel processing across multiple GPUs and servers. It can be utilized as a library within Python, C#, or C++ applications, or operated as an independent machine-learning tool utilizing its own model description language, BrainScript. Additionally, CNTK's model evaluation capabilities can be accessed from Java applications, broadening its usability. The toolkit is compatible with 64-bit Linux as well as 64-bit Windows operating systems. For installation, users have the option of downloading pre-compiled binary packages or building the toolkit from source code available on GitHub, which provides flexibility depending on user preferences and technical expertise. This versatility makes CNTK a powerful tool for developers looking to harness deep learning in their projects.

The NVIDIA Deep Learning GPU Training System (DIGITS) empowers engineers and data scientists by making deep learning accessible and efficient. With DIGITS, users can swiftly train highly precise deep neural networks (DNNs) tailored for tasks like image classification, segmentation, and object detection. It streamlines essential deep learning processes, including data management, neural network design, multi-GPU training, real-time performance monitoring through advanced visualizations, and selecting optimal models for deployment from the results browser. The interactive nature of DIGITS allows data scientists to concentrate on model design and training instead of getting bogged down with programming and debugging. Users can train models interactively with TensorFlow while also visualizing the model architecture via TensorBoard. Furthermore, DIGITS supports the integration of custom plug-ins, facilitating the importation of specialized data formats such as DICOM, commonly utilized in medical imaging. This comprehensive approach ensures that engineers can maximize their productivity while leveraging advanced deep learning techniques.

TFlearn is a flexible and clear deep learning framework that operates on top of TensorFlow. Its primary aim is to offer a more user-friendly API for TensorFlow, which accelerates the experimentation process while ensuring complete compatibility and clarity with the underlying framework. The library provides an accessible high-level interface for developing deep neural networks, complete with tutorials and examples for guidance. It facilitates rapid prototyping through its modular design, which includes built-in neural network layers, regularizers, optimizers, and metrics. Users benefit from full transparency regarding TensorFlow, as all functions are tensor-based and can be utilized independently of TFLearn. Additionally, it features robust helper functions to assist in training any TensorFlow graph, accommodating multiple inputs, outputs, and optimization strategies. The graph visualization is user-friendly and aesthetically pleasing, offering insights into weights, gradients, activations, and more. Moreover, the high-level API supports a wide range of contemporary deep learning architectures, encompassing Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, and Generative networks, making it a versatile tool for researchers and developers alike.

This innovative tool is designed for quantizing convolutional neural networks (CNNs). It allows for the transformation of both weights/biases and activations from 32-bit floating-point (FP32) to 8-bit integer (INT8) format, or even other bit depths. Utilizing this tool can greatly enhance inference performance and efficiency, all while preserving accuracy levels. It is compatible with various common layer types found in neural networks, such as convolution, pooling, fully-connected layers, and batch normalization, among others. Remarkably, the quantization process does not require the network to be retrained or the use of labeled datasets; only a single batch of images is sufficient. Depending on the neural network's size, the quantization can be completed in a matter of seconds to several minutes, facilitating quick updates to the model. Furthermore, this tool is specifically optimized for collaboration with DeePhi DPU and can generate the INT8 format model files necessary for DNNC integration. By streamlining the quantization process, developers can ensure their models remain efficient and robust in various applications.

Mipsology's Zebra acts as the perfect Deep Learning compute engine specifically designed for neural network inference. It efficiently replaces or enhances existing CPUs and GPUs, enabling faster computations with reduced power consumption and cost. The deployment process of Zebra is quick and effortless, requiring no specialized knowledge of the hardware, specific compilation tools, or modifications to the neural networks, training processes, frameworks, or applications. With its capability to compute neural networks at exceptional speeds, Zebra establishes a new benchmark for performance in the industry. It is adaptable, functioning effectively on both high-throughput boards and smaller devices. This scalability ensures the necessary throughput across various environments, whether in data centers, on the edge, or in cloud infrastructures. Additionally, Zebra enhances the performance of any neural network, including those defined by users, while maintaining the same level of accuracy as CPU or GPU-based trained models without requiring any alterations. Furthermore, this flexibility allows for a broader range of applications across diverse sectors, showcasing its versatility as a leading solution in deep learning technology.

Ivanti Neurons for Mobile Threat Defense offers a cloud-based solution that provides real-time protection against zero-day threats for both corporate and personal devices, safeguarding against various types of attacks including those targeting devices, networks, applications, and phishing attempts, while also automating threat remediation. This system effectively detects and blocks harmful URLs at the moment they are clicked, whether through email, SMS, social media, or other platforms, and promptly alerts users about any content that has been blocked. Integrated within Ivanti Neurons for MDM and Endpoint Manager Mobile clients, it requires no action from the end-users to install or activate, which facilitates complete adoption and empowers administrators to enforce compliance measures that prevent any disabling or removal of the service. Utilizing advanced machine learning, it consistently evaluates device traffic, installed applications, and potential zero-day vulnerabilities, yielding threat-assessment scores, comprehensive analytics, and in-depth reports. Moreover, continuous visibility into applications allows administrators to assess, permit, or restrict apps based on various risk indicators such as behavior patterns, certificates, and network interactions, ensuring a robust defense against evolving threats. With its automated processes and in-depth analytics, organizations can maintain a higher level of security and compliance effortlessly.

Torch is a powerful framework for scientific computing that prioritizes GPU utilization and offers extensive support for various machine learning algorithms. Its user-friendly design is enhanced by LuaJIT, a fast scripting language, alongside a robust C/CUDA backbone that ensures efficiency. The primary aim of Torch is to provide both exceptional flexibility and speed in the development of scientific algorithms, all while maintaining simplicity in the process. With a rich array of community-driven packages, Torch caters to diverse fields such as machine learning, computer vision, signal processing, and more, effectively leveraging the resources of the Lua community. Central to Torch's functionality are its widely-used neural network and optimization libraries, which strike a balance between ease of use and flexibility for crafting intricate neural network architectures. Users can create complex graphs of neural networks and efficiently distribute the workload across multiple CPUs and GPUs, thereby optimizing performance. Overall, Torch serves as a versatile tool for researchers and developers aiming to advance their work in various computational domains.

Enhance your network's adaptability and scalability through the implementation of open optical networks. Cisco's optical solutions offer a versatile connectivity framework tailored to meet various network demands. Transform your network by adopting multilayer convergence technologies that facilitate the modernization of transport networks to IP and enable high-density circuit-emulation. Effortlessly manage networks of any size using a streamlined, unified multilayer approach. Redefine your operational architecture with the integration of network layer convergence. Ensure the protection of your business and clientele by utilizing an automated, open security architecture. Accelerate the delivery of high-quality services to customers through effective network automation, which simplifies processes. By merging software advancements with your existing network hardware, you can ensure your infrastructure is primed for future growth and scaling opportunities. Ultimately, this approach positions your business for sustainable success in a rapidly evolving technological landscape.

We engage in pioneering research on artificial intelligence to attain significant advantages in financial investment, shedding light on the market through innovative neuro-prediction techniques. Our approach integrates advanced deep reinforcement learning algorithms and graph-based learning with artificial neural networks to effectively model and forecast time series data. At Neuri, we focus on generating synthetic data that accurately reflects global financial markets, subjecting it to intricate simulations of trading behaviors. We are optimistic about the potential of quantum optimization to enhance our simulations beyond the capabilities of classical supercomputing technologies. Given that financial markets are constantly changing, we develop AI algorithms that adapt and learn in real-time, allowing us to discover relationships between various financial assets, classes, and markets. The intersection of neuroscience-inspired models, quantum algorithms, and machine learning in systematic trading remains a largely untapped area, presenting an exciting opportunity for future exploration and development. By pushing the boundaries of current methodologies, we aim to redefine how trading strategies are formulated and executed in this ever-evolving landscape.

Imagine if structures possessed a 'brain' capable of monitoring their internal systems and reacting instantly; the potential for enhanced security, comfort, and efficiency could be immense. We are exploring this concept with Neuron, which utilizes artificial intelligence to transform our buildings, neighborhoods, and urban areas into healthier and more sustainable environments. Neuron operates as an integrated application that merges our knowledge of the built environment with cutting-edge digital technologies into one cohesive platform. Leveraging 5G and the Internet of Things, it collects real-time sensory data from various equipment and systems. Additionally, it employs Building Information Modelling (BIM) to visualize these intricate data sets through a centralized management console hosted in the cloud. The 'brain' of Neuron harnesses artificial intelligence and machine learning to evaluate, enhance, and automate operational processes. Furthermore, digital twins play a crucial role in bridging the gap between the physical and digital realms. As consultants and technology experts, our mission is to create a digital twin that harmonizes diverse information sources, ultimately leading to smarter and more interconnected environments. This innovative approach not only advances efficiency but also fosters collaboration among various stakeholders.

YandexART, a diffusion neural net by Yandex, is designed for image and videos creation. This new neural model is a global leader in image generation quality among generative models. It is integrated into Yandex's services, such as Yandex Business or Shedevrum. It generates images and video using the cascade diffusion technique. This updated version of the neural network is already operational in the Shedevrum app, improving user experiences. YandexART, the engine behind Shedevrum, boasts a massive scale with 5 billion parameters. It was trained on a dataset of 330,000,000 images and their corresponding text descriptions. Shedevrum consistently produces high-quality content through the combination of a refined dataset with a proprietary text encoding algorithm and reinforcement learning.

MailGate offers various security tiers that can be deployed alone or together to mitigate risks at both the DMZ and within the company's network, while also safeguarding both incoming and outgoing email communications on content and network layers. Furthermore, MailGate integrates effortlessly with your current infrastructure, requiring no specific browser or operating system, thereby allowing you to enhance your security measures as your requirements evolve without necessitating alterations to your existing systems, applications, protocols, or user experiences. This adaptability ensures that your organization can respond to emerging threats swiftly and effectively, maintaining robust protection at all times.

Amazon EC2 Trn2 instances, equipped with AWS Trainium2 chips, are specifically designed to deliver exceptional performance in the training of generative AI models, such as large language and diffusion models. Users can experience cost savings of up to 50% in training expenses compared to other Amazon EC2 instances. These Trn2 instances can accommodate as many as 16 Trainium2 accelerators, boasting an impressive compute power of up to 3 petaflops using FP16/BF16 and 512 GB of high-bandwidth memory. For enhanced data and model parallelism, they are built with NeuronLink, a high-speed, nonblocking interconnect, and offer a substantial network bandwidth of up to 1600 Gbps via the second-generation Elastic Fabric Adapter (EFAv2). Trn2 instances are part of EC2 UltraClusters, which allow for scaling up to 30,000 interconnected Trainium2 chips within a nonblocking petabit-scale network, achieving a remarkable 6 exaflops of compute capability. Additionally, the AWS Neuron SDK provides seamless integration with widely used machine learning frameworks, including PyTorch and TensorFlow, making these instances a powerful choice for developers and researchers alike. This combination of cutting-edge technology and cost efficiency positions Trn2 instances as a leading option in the realm of high-performance deep learning.

ThirdAI (pronounced /THərd ī/ Third eye) is a pioneering startup in the realm of artificial intelligence, focused on developing scalable and sustainable AI solutions. The ThirdAI accelerator specializes in creating hash-based processing algorithms for both training and inference processes within neural networks. This groundbreaking technology stems from a decade of advancements aimed at discovering efficient mathematical approaches that extend beyond traditional tensor methods in deep learning. Our innovative algorithms have proven that commodity x86 CPUs can outperform even the most powerful NVIDIA GPUs by a factor of 15 when training extensive neural networks. This revelation has challenged the widely held belief in the AI community that specialized processors, such as GPUs, are vastly superior to CPUs for neural network training. Not only does our innovation promise to enhance current AI training methods by utilizing more cost-effective CPUs, but it also has the potential to enable previously unmanageable AI training workloads on GPUs, opening up new avenues for research and application in the field.

DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming. DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.

Ivanti Neurons for UEM is a cloud-driven unified endpoint management solution that offers comprehensive visibility, control, and security across all devices via a unified interface. It continuously discovers and catalogs endpoints in real-time, ensuring a reliable single source of truth, while simplifying the onboarding and provisioning processes through over-the-air delivery of applications, settings, and security profiles. The platform oversees the entire lifecycle of devices and applications, from their initial enrollment to eventual retirement. Leveraging the AI-enhanced Neurons framework, it automates routine troubleshooting, diagnostics, and remediation, fostering a self-healing ecosystem that resolves issues seamlessly without disrupting users. Furthermore, its sensor-based architecture and natural-language querying capabilities enable immediate operational insights, enhancing overall efficiency and performance. This innovative approach not only streamlines management tasks but also significantly reduces the burden on IT teams.

Diagnose and resolve service issues quickly, accurately, and more profitably. Neuron7's AI predicts issue categories and resolution steps to help your newest team members perform as well as experienced call center agents and field service technicians. Deflect calls, increase first time resolutions, and reduce parts wastage while capturing expert knowledge. Neuron7's AI continually learns to find the best resolution paths and guide people to success quickly, despite having 1000s of agents and 1000s product configurations.

Empower and safeguard your teams across both cloud environments and edge locations with Ivanti Neurons, the hyperautomation solution designed for the Everywhere Workplace. Achieving the benefits of self-healing technology has never been more straightforward. Imagine being able to identify and resolve problems automatically, even before your users are aware of them. Ivanti Neurons makes this a reality. Utilizing advanced machine learning and in-depth analytics, it enables you to address potential issues proactively, ensuring that your productivity remains uninterrupted. By eliminating the need for troubleshooting from your to-do list, you can enhance user experiences wherever your business operates. Ivanti Neurons equips your IT infrastructure with actionable real-time intelligence, empowers devices to self-repair and self-secure, and offers users a tailored self-service interface. Elevate your users, your team, and your organization to achieve more, in every environment, with Ivanti Neurons. From the very first day, Ivanti Neurons provides value through real-time insights that allow you to mitigate risks and avert breaches in mere seconds rather than minutes, making it an essential tool for modern businesses. With such capabilities, your organization's resilience and efficiency can reach new heights.

WinGate Proxy Server serves as an efficient and versatile HTTP Proxy server, SOCKS server, and integrated Internet gateway, tailored to address the access control, security, and communication requirements of modern enterprises. With a diverse array of features, it offers flexible licensing options that can adapt to the budgets of different users, whether for a large corporation, a small business, or a residential network. This server enables the sharing of various types of Internet connections, permitting numerous users to browse the web, access email, and utilize other online applications as if they were directly online. Regardless of whether the connection is through a standard dial-up modem or a high-speed fiber line, WinGate Proxy Server enhances the overall usage of that connection. Furthermore, it is compatible with multiple Internet protocols, facilitating the functionality of applications including web browsers, messaging tools, FTP, and SSL. Overall, WinGate Proxy Server is an invaluable tool for any organization looking to streamline its internet access and improve security measures.

GateHouse Solutions® offers an innovative security gate software that stands out as the premier choice for managing entry into gated communities. This cutting-edge technology ensures seamless functionality even during network outages, preventing long wait times and maintaining high security for both residents and guests. The intuitive interface of the gate attendant workstation enhances the visitor tracking process and streamlines access for residents by swiftly and accurately handling requests, thus reinforcing the effectiveness of community security staff. Additionally, the administrative workstation's straightforward and structured design empowers administrators to manage the community's database efficiently. Residents can rest assured that their personal information is safeguarded and leveraged to effectively oversee visitor access. Unlike other service providers, GateHouse Solutions® does not impose extra upgrade fees on top of support contracts or subscription charges, making it a cost-effective choice for community management. This commitment to affordability and security further solidifies its reputation as a leader in the industry.

The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.

SHARK is a versatile and high-performance open-source library for machine learning, developed in C++. It encompasses a variety of techniques, including both linear and nonlinear optimization, kernel methods, neural networks, and more. This library serves as an essential resource for both practical applications and academic research endeavors. Built on top of Boost and CMake, SHARK is designed to be cross-platform, supporting operating systems such as Windows, Solaris, MacOS X, and Linux. It operates under the flexible GNU Lesser General Public License, allowing for broad usage and distribution. With a strong balance between flexibility, user-friendliness, and computational performance, SHARK includes a wide array of algorithms from diverse fields of machine learning and computational intelligence, facilitating easy integration and extension. Moreover, it boasts unique algorithms that, to the best of our knowledge, are not available in any other competing frameworks. This makes SHARK a particularly valuable tool for developers and researchers alike.

Our real-time deep learning platform has been meticulously crafted to provide unparalleled speed in detection, effectiveness, and comprehensive coverage, establishing a groundbreaking benchmark for cyber defense. We harness global threat intelligence that we have meticulously gathered from various sources, including threat repositories, the dark web, our own deployments, and collaborations with partners, to train our neural networks. Similar to how layers of neural networks can recognize images in photographs, our unique neural network architecture is adept at pinpointing threats in both payloads and headers. Blue Hexagon Labs rigorously tests and confirms the precision of our models daily against emerging threats in the environment. Our advanced neural networks are capable of detecting a broad spectrum of threats, including both file and fileless malware, exploits, command and control communications, and malicious domains across multiple platforms such as Windows, Android, and Linux. Additionally, deep learning, a specialized area within machine learning, leverages complex, multi-layered artificial neural networks to comprehend and represent data effectively. This innovative approach enhances our ability to adapt to the ever-evolving landscape of cybersecurity challenges.

FortiGate Cloud enhances network management for Fortinet devices such as FortiGate, FortiSwitch, FortiAP, and FortiExtender, streamlining the process of initial deployment, configuration, and continuous maintenance. This platform offers advanced analytics and reporting capabilities designed for small to medium-sized enterprises, allowing organizations of any size to gain comprehensive insights into their security posture. As a cloud-based software-as-a-service (SaaS), FortiGate Cloud delivers a variety of management, reporting, and analytical tools tailored for FortiGate next-generation firewalls. It further simplifies the deployment, setup, and management of FortiGate alongside SD-WAN functionalities, FortiSwitch, FortiAP, and FortiExtender through zero-touch provisioning, ensuring full visibility over the entire deployment process. With the ability to scale according to your needs, FortiGate Cloud can evolve from managing a single FortiGate device to overseeing a complete security management service capable of handling thousands of devices across numerous clients. This flexibility ensures that as your business grows, your security management capabilities can adapt seamlessly to meet new challenges.

We take the hard work out of AI processing on the edge. The Latent AI Efficient Inference Platform (LEIP) enables adaptive AI at edge by optimizing compute, energy, and memory without requiring modifications to existing AI/ML infrastructure or frameworks. LEIP is a fully-integrated modular workflow that can be used to build, quantify, and deploy edge AI neural network. Latent AI believes in a vibrant and sustainable future driven by the power of AI. Our mission is to enable the vast potential of AI that is efficient, practical and useful. We reduce the time to market with a Robust, Repeatable, and Reproducible workflow for edge AI. We help companies transform into an AI factory to make better products and services.

ConvNetJS is a JavaScript library designed for training deep learning models, specifically neural networks, directly in your web browser. With just a simple tab open, you can start the training process without needing any software installations, compilers, or even GPUs—it's that hassle-free. The library enables users to create and implement neural networks using JavaScript and was initially developed by @karpathy, but it has since been enhanced through community contributions, which are greatly encouraged. For those who want a quick and easy way to access the library without delving into development, you can download the minified version via the link to convnet-min.js. Alternatively, you can opt to get the latest version from GitHub, where the file you'll likely want is build/convnet-min.js, which includes the complete library. To get started, simply create a basic index.html file in a designated folder and place build/convnet-min.js in the same directory to begin experimenting with deep learning in your browser. This approach allows anyone, regardless of their technical background, to engage with neural networks effortlessly.

Neural Designer is a data-science and machine learning platform that allows you to build, train, deploy, and maintain neural network models. This tool was created to allow innovative companies and research centres to focus on their applications, not on programming algorithms or programming techniques. Neural Designer does not require you to code or create block diagrams. Instead, the interface guides users through a series of clearly defined steps. Machine Learning can be applied in different industries. These are some examples of machine learning solutions: - In engineering: Performance optimization, quality improvement and fault detection - In banking, insurance: churn prevention and customer targeting. - In healthcare: medical diagnosis, prognosis and activity recognition, microarray analysis and drug design. Neural Designer's strength is its ability to intuitively build predictive models and perform complex operations.

FortiGate NGFWs provide exceptional threat protection performance with automated visibility to thwart potential attacks. These next-generation firewalls facilitate security-driven networking while integrating top-tier security functionalities such as intrusion prevention systems (IPS), web filtering, secure sockets layer (SSL) inspection, and automated threat defense mechanisms. Designed to meet the performance demands of expansive hybrid IT environments, Fortinet NGFWs help organizations simplify their operations and effectively manage security vulnerabilities. Powered by AI-enhanced FortiGuard Labs, these firewalls offer proactive threat mitigation through high-speed inspection of both unencrypted and encrypted traffic, including the most recent encryption protocol, TLS 1.3, ensuring they remain ahead in the fast-evolving threat landscape. FortiGate NGFWs meticulously examine data traffic entering and exiting the network, executing these inspections at unmatched speed and scale. This capability not only safeguards against a wide array of threats, including ransomware and DDoS attacks, but also enhances overall network reliability and security. With their robust architecture and advanced features, FortiGate NGFWs are essential for any organization aiming to maintain a secure digital environment.

Enhance your teams' capabilities with AI Agents and discover a new level of operational efficiency. We provide the ability to deploy tailored agents rapidly, ensuring they are customized, integrated, and impactful. Implement personalized solutions and have them operational within days, thanks to our unique infrastructure. Concentrate on your primary business objectives while we efficiently manage and sustain your AI systems. Our agents are adept at handling numerous use cases in critical environments where precision and complex reasoning are vital. Automatically generate reference letters for your staff or streamline your email management based on personalized labels. With Neurons, any document-related task can be automated, allowing for the creation of agents and efficient document processing. Neurons boast intelligence and can be effortlessly connected to various other tools. Through 913.ai, organizations across industries such as insurance, logistics, and legal can effectively automate their administrative tasks while retaining human oversight to ensure quality and accuracy. This approach empowers teams to dedicate their efforts to more significant and impactful projects, ultimately enhancing productivity across the board.

Crafted with security in mind and designed for extensive scalability, this solution enables the creation of an exceptional network edge through enhanced aggregation services, multicloud networking, and intelligent edge capabilities. Experience high-performance cloud capabilities with accelerated services driven by advanced application-specific integrated circuit (ASIC) technology. Manage your entire environment seamlessly using Cisco vManage, while acquiring valuable insights across the internet, cloud platforms, and applications through integrated tools like Cisco vAnalytics and Cisco ThousandEyes. Achieve unparalleled multilayered security and transition to a secure access service edge (SASE) model using SD-WAN for both on-premises and cloud-based security measures. Ultimately, provide exceptional service and flexible connectivity to users, regardless of their location, ensuring a robust and reliable network experience. This comprehensive approach not only enhances user satisfaction but also strengthens your overall network resilience.

ACTi's video analytics are crafted to revolutionize your video surveillance framework into an intelligent detection system, enhancing its utility for effective business management. Utilizing sophisticated image processing techniques, including people counting and license plate recognition, the system identifies and tracks the movements of individuals and objects, enabling the analysis of their behaviors while generating valuable insights. Interactive graphs can be created from summary reports, which are also available for export. Additionally, the system is capable of activating other network devices, such as alarms, electronic gates, or digital displays. ACTi's proprietary video analysis technology can operate not only on dedicated analytic servers but also on network video recorders (NVR) and smart cameras. For scenarios where only a single view requires assessment or when utilizing Video Management Systems (VMS) lacking built-in analytics, it is advisable to use cameras that come with integrated analytics. This choice is particularly beneficial because intelligent cameras operate independently of network bandwidth and latency issues, ensuring consistent performance. Moreover, these cameras enhance the overall efficiency of the surveillance system by enabling seamless integration with existing infrastructure.

Seamlessly link users to any application, enhance performance, and cut costs with a SASE architecture, all managed from an integrated console. Enable branches, offices, and remote locations directly from the cloud with ease. Once configured, policies can be applied universally from the SD-WAN management center. Strengthen security measures and safeguard users through built-in features like multi-layer inspection, intrusion prevention, and DNS sinkholing. When combined with Forcepoint ONE, users gain secure access to applications whether they are on-site or working remotely. Drastically reduce networking expenses while boosting reliability by dynamically balancing local ISP broadband with private MPLS options. Upgrade your network infrastructure and streamline security by utilizing FlexEdge Secure SD-WAN alongside Forcepoint ONE. Achieve optimal performance while minimizing costs through the strategic management of ISP broadband and private MPLS lines. Multi-Link networking ensures the highest performance at the lowest possible cost while adapting to the needs of your organization. This comprehensive approach not only fosters efficiency but also enhances user experience across the board.

With an easy-to-use application, service, and workflow integration platform, connect your systems and apps to the cloud and on-premises. Drag-and-drop workflow designers and codeless connectors speed deployment. Easy integration of all web service (SOAP/REST), endpoints. Use your existing.NET skills to reduce integration costs by up to 70% Find a better way to modernize and integrate enterprise systems. Neuron ESB, an easy-to use yet powerful enterprise service bus (ESB), simplifies messaging and Web services enablement to accelerate service-oriented architecture adoption.

Darknet is a neural network framework that is open-source, developed using C and CUDA. Known for its speed and simplicity in installation, it accommodates both CPU and GPU processing. The source code is available on GitHub, where you can also explore its capabilities further. The installation process is straightforward, requiring only two optional dependencies: OpenCV for enhanced image format support and CUDA for GPU acceleration. While Darknet performs efficiently on CPUs, it boasts a performance increase of approximately 500 times when running on a GPU! To leverage this speed, you'll need an Nvidia GPU alongside the CUDA installation. By default, Darknet utilizes stb_image.h for loading images, but for those seeking compatibility with more obscure formats like CMYK jpegs, OpenCV can be employed. Additionally, OpenCV provides the functionality to visualize images and detections in real-time without needing to save them. Darknet supports the classification of images using well-known models such as ResNet and ResNeXt, and it has become quite popular for employing recurrent neural networks in applications related to time-series data and natural language processing. Whether you're a seasoned developer or a newcomer, Darknet offers an accessible way to implement advanced neural network solutions.

The soaring demand for bi-directional content, comprehensive data, and swift processing has severely impacted network throughput, exacerbating congestion at crucial bottlenecks in data networks. GateSpeed's innovative network optimization solution enhances data throughput and hardware efficiency at these critical junctions, delivering performance gains and cost reductions that directly benefit the bottom line. Whether implemented at the network's edge, along links and load balancers, or within the data center itself, GateSpeed technology provides both single-point and comprehensive end-to-end optimization, essential for integrating into your long-term network infrastructure and development roadmap. Utilizing our cutting-edge packet-forwarding engine alongside a tailored Data Plane Development Kit (DPDK), GateSpeed achieves packet throughput rates that are five times or more than those of standard Linux systems, and far surpasses conventional DPDK solutions available in the market. As a result, organizations can expect not only enhanced performance but also significant improvements in operational efficiency.

Nectere, the NextGen Intranet Portal, enables seamless communication and engagement among your workforce. With a single click, you can bridge the gap and promote seamless connectivity and information sharing within your organization. Nectere, a localized gated IT solution, is a localized network with integrated IT solutions that allow interaction and collaboration among all members of an organization, regardless of their departmental or geographical boundaries.

Automated variable selection helps to pinpoint essential variables along with their interactions, while effective visualization techniques enhance understanding of data and model behaviors. Additionally, the execution of batch commands complements SQL queries and dataset exploration. Pre-processing and post-processing steps are crucial for variable creation and output constraints, among other tasks. Models can be readily deployed through ActiveX (i.e., OCX) controls or DLLs, making implementation straightforward. The suite of advanced modeling algorithms encompasses regression, neural networks, self-organizing maps, dynamic clustering, decision trees, fuzzy logic, and genetic algorithms. Predictive Dynamix offers robust computational intelligence software that serves a wide array of applications, including forecasting, predictive modeling, pattern recognition, classification, and optimization, catering to various industries. Leveraging modern neural network technologies, these solutions provide powerful mechanisms for tackling complex challenges in forecasting and pattern recognition. Multi-layer perceptron neural networks are particularly noteworthy for their architecture, enabling multiple coefficients for each input variable, thus enhancing the model's adaptability and accuracy. This versatility in neural network design is crucial for addressing the diverse needs of contemporary data analysis challenges.

Fido is a versatile, open-source C++ library designed for machine learning applications, particularly in the fields of embedded electronics and robotics. This library features various implementations, including trainable neural networks, reinforcement learning techniques, and genetic algorithms, alongside a comprehensive robotic simulation environment. Additionally, Fido offers a human-trainable robot control system, as outlined by Truell and Gruenstein. Although the simulator is not included in the latest version, it remains accessible for users who wish to experiment with it on the simulator branch. With its modular design, Fido can be easily adapted for diverse projects in the robotics domain.

Neuron AI is a chat and productivity application designed specifically for Apple Silicon, providing efficient on-device processing to enhance both speed and user privacy. This innovative tool enables users to participate in AI-driven conversations and summarize audio files without needing an internet connection, thus keeping all data securely on the device. With the capability to support unlimited AI chats, users can choose from over 45 advanced AI models from various providers including OpenAI, DeepSeek, Meta, Mistral, and Huggingface. The platform allows for customization of system prompts and transcript management while also offering a personalized interface that includes options like dark mode, different accent colors, font choices, and haptic feedback. Neuron AI seamlessly works across iPhone, iPad, Mac, and Vision Pro devices, integrating smoothly into a variety of workflows. Additionally, it includes integration with the Shortcuts app to facilitate extensive automation and provides users with the ability to easily share messages, summaries, or audio recordings through email, text, AirDrop, notes, or other third-party applications. This comprehensive set of features makes Neuron AI a versatile tool for both personal and professional use.

For those seeking enhanced capabilities at their Network Operations Center or a tidier setup at branch offices, the Gate SR serves as the comprehensive solution you've been looking for. Whether at your main data center or in remote locations, this robust appliance links you to numerous physical assets while facilitating the virtualization of your network. By deploying this device swiftly, you can save time and significantly reduce both capital and operational expenditures, all while simplifying network management. With just one powerful unit, you can easily configure all your solutions. Experience hassle-free installations with plug-and-play capabilities and zero-touch provisioning. This all-in-one device allows for greater virtualization of functions and reduces your overall technology stack. Enjoy seamless deployments by connecting multiple assets, including PoE IoT devices, to a single unit. Additionally, you can virtualize your environment, host third-party applications, and manage everything, even the power of devices, through remote out-of-band management. Weighing only two pounds, the Gate SR stands out as an ideal platform for unified infrastructure management while also offering exceptional portability. Its versatility ensures you can adapt to various operational needs without compromising on efficiency or performance.

Ivanti Neurons for Secure Access is an all-encompassing, cloud-centric solution that merges conventional VPN services (Ivanti Connect Secure) with Zero Trust access (Ivanti Neurons for Zero Trust Access) within a cohesive interface, offering immediate insights and centralized management suitable for hybrid work situations. This platform efficiently identifies, categorizes, and organizes private applications, collects usage data for potential chargebacks, and implements detailed access policies through continuous verification of users, devices, and applications. A comprehensive visibility dashboard encompasses all gateways, users, devices, and activities, while adaptive security utilizes user behavior analytics to identify irregularities and proactively address new threats. Additionally, the management of gateway lifecycles streamlines the processes of deployment, configuration, upgrades, and decommissioning, while well-designed REST APIs facilitate integration with various third-party identity providers, SIEM, UEM, vulnerability assessment, and endpoint protection solutions. By offering such extensive capabilities, Ivanti ensures a robust and secure access framework tailored for modern workplaces.