All IPs > Processor > Audio Processor
The Audio Processor category in our catalog of semiconductor IPs represents cutting-edge technology for enhancing and managing audio signals in various applications. Audio processors play a crucial role in manipulating sound signals, ensuring high fidelity and enriching audio experiences across a range of industries. These IPs are integral to the design of products that require precise audio control and enhanced sound quality.
Audio processor semiconductor IPs are commonly used in consumer electronics, including smart speakers, home theater systems, and high-end audio equipment. They enable advanced functionalities such as noise reduction, surround sound processing, and adaptive sound optimization, ensuring users enjoy crystal-clear audio. With the increasing demand for immersive audio experiences, these processors offer manufacturers the ability to deliver products that meet consumer expectations for quality and performance.
In addition to consumer electronics, audio processors are also widely used in the automotive industry. With the rise of in-car entertainment systems, these IPs allow manufacturers to integrate premium audio features into vehicles, providing a richer listening experience for drivers and passengers. From noise cancellation technologies to high-fidelity audio reproduction, audio processors are key in enhancing the audio environment inside modern vehicles.
Beyond these applications, audio processors are essential in mobile devices where space and power efficiency are crucial. Implementing semiconductor IPs for audio processing in smartphones and tablets helps manage audio playback and recording, offering features such as voice enhancement and audio streaming. As devices become more interconnected and audio-centric, the demand for advanced audio processor IPs is set to continue growing, offering endless possibilities for innovation in sound technology.
This IP offers a high-performance mixed-signal CODEC solution perfect for advanced audio applications. It seamlessly integrates analog-to-digital and digital-to-analog conversion capabilities, ensuring an immersive audio experience with minimal latency and superior sound fidelity. The CODEC is specifically designed to handle multiple audio interface formats, providing adaptability across various platforms and devices. One of the strengths of this CODEC is its optimized power consumption. It is crafted to deliver top-tier performance while maintaining efficient energy use, which is essential for battery-powered and portable devices. The versatility of the CODEC makes it an ideal choice for a wide range of applications, from automotive audio systems to consumer electronics. Additionally, this solution is engineered with robust support for different process nodes, enhancing its compatibility with a multitude of manufacturing technologies. This makes it not only efficient but also versatile, allowing for straightforward integration into diverse product lines.
The TimbreAI T3 is a premier AI inference engine from Expedera, designed specifically for audio noise reduction in power-sensitive devices like wireless headsets. Achieving up to 3.2 GOPS at an ultra-low power consumption of less than 300 µW, the T3 caters to devices with stringent power and area constraints. This product features Expedera's advanced packet-based architectural strategy, setting a new standard for efficiency in embedded AI applications. Ported easily across different foundries, the TimbreAI T3 ensures seamless performance without requiring alterations to pre-trained models, safeguarding accuracy and maintaining consistent results. Its comprehensive support for common audio neural networks and standard NN functions underscores its versatility and adaptability within varied use cases. Exemplified by successful integration in over 10 million devices globally, the T3 is proof of Expedera's commitment to delivering high-quality, energy-efficient semiconductor solutions. Coupled with expedited development and integration capabilities, this IP represents a vital component in enhancing audio processing capabilities across contemporary electronic devices.
The Polar ID Biometric Security System is Metalenz's revolutionary solution for face authentication, delivering a new level of biometric security through advanced polarization imaging. Unlike conventional facial recognition systems, Polar ID captures the unique 'polarization signature' of each human face, offering enhanced security by effortlessly differentiating between real faces and potential spoofing attempts with sophisticated 3D masks. This innovative use of meta-optics not only enhances security but also reduces the need for complex optical modules traditionally required in consumer devices. Polar ID stands out in its ability to operate efficiently under varied lighting conditions, from bright sunlight to complete darkness. It achieves this with more than 10 times the resolution of current structured light systems, ensuring reliable and secure facial recognition performance even when users wear glasses or face coverings. By operating in the near-infrared spectrum, Polar ID extends its utility to scenarios previously challenging for facial recognition technology, thus broadening its application range. Designed for mass-market deployment, Polar ID minimizes the footprint and complexity of face unlock systems. By doing away with bulky modules, it offers a compact and cost-effective alternative while maintaining high-security standards. This innovation enables widespread adoption in consumer electronics, allowing a seamless integration into smartphones, tablets, and other mobile devices, potentially replacing less secure biometric methods like fingerprint recognition.
The Yitian 710 Processor stands as a flagship ARM-based server processor spearheaded by T-Head, featuring an intricate architecture designed by the company itself. Utilizing advanced multi-core technology, the processor incorporates up to 128 high-performance ARMv9 CPU cores, each complete with its own substantial cache for enhanced data access speed. The processor is adeptly configured to handle intensive computing tasks, supported by a robust off-chip memory system with 8-channel DDR5, reaching peak bandwidths up to 281GB/s. An impressive I/O subsystem featuring PCIe 5.0 interfaces facilitates extensive data throughput capabilities, making it highly suitable for high-demand applications. Compliant with modern energy efficiency standards, the processor boasts innovative multi-die packaging to maintain optimal heat dissipation, ensuring uninterrupted performance in data centers. This processor excels in cloud services, big data computations, video processing, and AI inference operations, offering the speed and efficiency required for next-generation technological challenges.
The NaviSoC is a cutting-edge system-on-chip (SoC) that integrates a GNSS receiver and an application processor on one silicon die. Known for its high precision and reliability, it provides users with a compact and energy-efficient solution for various applications. Capable of supporting all GNSS bands and constellations, it offers fast time-to-first-fix, centimeter-level accuracy, and maintains high sensitivity even in challenging environments. The NaviSoC's flexible design allows it to be customized to meet specific user requirements, making it suitable for a wide range of applications, from location-based services to asset tracking and smart agriculture. The incorporation of a RISC-V application microcontroller, along with an array of peripherals and interfaces, introduces expanded functionality, optimizing it for advanced IoT and industrial applications. Engineered for power efficiency, the NaviSoC supports a range of supply voltages, ensuring low power consumption across its operations. The chip's design provides for efficient integration into existing systems with the support of a comprehensive SDK and IDE, allowing developers to tailor solutions to their precise needs in embedded systems and navigation infrastructures.
xcore.ai is a versatile platform specifically crafted for the intelligent IoT market. It hosts a unique architecture with multi-threading and multi-core capabilities, ensuring low latency and high deterministic performance in embedded AI applications. Each xcore.ai chip contains 16 logical cores organized in two multi-threaded processor 'tiles' equipped with 512kB of SRAM and a vector unit for enhanced computation, enabling both integer and floating-point operations. The design accommodates extensive communication infrastructure within and across xcore.ai systems, providing scalability for complex deployments. Integrated with embedded PHYs for MIPI, USB, and LPDDR, xcore.ai is capable of handling a diverse range of application-specific interfaces. Leveraging its flexibility in software-defined I/O, xcore.ai offers robust support for AI, DSP, and control processing tasks, making it an ideal choice for enhancing IoT device functionalities. With its support for FreeRTOS, C/C++ development environment, and capability for deterministic processing, xcore.ai guarantees precision in performance. This allows developers to partition xcore.ai threads optimally for handling I/O, control, DSP, and AI/ML tasks, aligning perfectly with the specific demands of various applications. Additionally, the platform's power optimization through scalable tile clock frequency adjustment ensures cost-effective and energy-efficient IoT solutions.
The Dynamic Neural Accelerator II (DNA-II) is an advanced IP core that elevates neural processing capabilities for edge AI applications. It is adaptable to various systems, exhibiting remarkable efficiency through its runtime reconfigurable interconnects, which aid in managing both transformer and convolutional neural networks. Designed for scalability, DNA-II supports numerous applications ranging from 1k MACs to extensive SoC implementations. DNA-II's architecture enables optimal parallelism by dynamically managing data paths between compute units, ensuring minimized on-chip memory bandwidth and maximizing operational efficiency. Paired with the MERA software stack, it provides seamless integration and optimization of neural network tasks, significantly enhancing computation ordering and resource distribution. Its applicability extends across various industry demands, massively increasing the operational efficiency of AI tasks at the edge. DNA-II, the pivotal force in the SAKURA-II Accelerator, brings innovative processing strength in compact formats, driving forward the development of edge-based generative AI and other demanding applications.
The Tyr Superchip is engineered to tackle the most daunting computational challenges in edge AI, autonomous driving, and decentralized AIoT applications. It merges AI and DSP functionalities into a single, unified processing unit capable of real-time data management and processing. This all-encompassing chip solution handles vast amounts of sensor data necessary for complete autonomous driving and supports rapid AI computing at the edge. One of the key challenges it addresses is providing massive compute power combined with low-latency outputs, achieving what traditional architectures cannot in terms of energy efficiency and speed. Tyr chips are surrounded by robust safety protocols, being ISO26262 and ASIL-D ready, making them ideally suited for the critical standards required in automotive systems. Designed with high programmability, the Tyr Superchip accommodates the fast-evolving needs of AI algorithms and supports modern software-defined vehicles. Its low power consumption, under 50W for higher-end tasks, paired with a small silicon footprint, ensures it meets eco-friendly demands while staying cost-effective. VSORA’s Superchip is a testament to their innovative prowess, promising unmatched efficiency in processing real-time data streams. By providing both power and processing agility, it effectively supports the future of mobility and AI-driven automation, reinforcing VSORA’s position as a forward-thinking leader in semiconductor technology.
NeuroVoice is a powerful ultra-low-power neuromorphic front-end chip engineered for voice processing in environments plagued by irregular noises and privacy concerns. This chip, built on the NASP framework, improves real-time voice recognition, reducing reliance on cloud processing and providing heightened privacy. It is ideal for applications in hearables, smart home devices, and other AI-driven voice control systems, capable of efficiently processing human voice amidst noise. The NeuroVoice chip addresses key challenges faced by existing digital solutions, such as excessive power consumption and low latency in real-time scenarios. Its brain-inspired architecture processes voice commands independently of the cloud, which minimizes Internet dependency and enhances privacy. Furthermore, the chip's ability to manage voice detection and extraction makes it suitable for diverse environments ranging from urban noise to quiet domestic settings. Advanced features of the NeuroVoice chip include its ultra-fast inference capability, processing all data locally and ensuring user privacy without compromising performance. By supporting applications like smart earbuds and IoT devices, NeuroVoice optimizes energy efficiency while maintaining superior voice processing quality. This innovative technology not only empowers users with clearer communication abilities but also encourages adoption across multiple consumer electronics.
The SCR5 Application Core represents Syntacore’s entry-level Linux-capable processor, probing the depths of efficient data processing with its RISC-V 32/64-bit infrastructure. The design constitutes a 9-stage in-order pipeline boasting rigorous support for integer and floating-point processing, alongside comprehensive Linux capabilities.\n\nDesigned with an FPU for enhanced arithmetic calculations and multicore clusters supporting up to 4 processors, the SCR5 grants developers the apparatus required for real-time and complex operating system executions. The integration of an MMU, high-capacity caches, and error-protection ensures maintainable execution of critical applications, fostering innovative development in embedded computing.\n\nThe SCR5’s advantageous features come to fruition in fields such as industrial automation, IoT, and wearable devices, crafting solutions to support a spectrum of smart home and automotive systems. The core provides an amalgamation of power efficiency and robust computational capacity, enabling a seamless transition to advanced application processing.
SystemBIST is an advanced product offering from Intellitech that provides a plug-and-play solution for flexible FPGA configuration and embedded JTAG testing. It stands out with its proprietary architecture that allows for efficient, codeless configuration of field-programmable gate arrays (FPGAs) as well as built-in system testing capabilities. SystemBIST is designed to be vendor-neutral, supporting any FPGA or CPLD compliant with the IEEE 1532 or IEEE 1149.1 standards. This design enables robust anti-tamper measures and enhances system reliability by embedding JTAG test patterns directly into PCBs.
WiseEye2 AI Solution by Himax revolutionizes edge computing in AI applications with its unique blend of an ultralow power CMOS image sensor and the HX6538 AI microcontroller. This solution is specifically engineered for battery-powered applications that require continuous operation, yet consume minimal power. The HX6538 microcontroller boasts unmatched power efficiency and performance gains, driven by its ARM-based architecture sporting Cortex M55 CPU and Ethos U55 NPU. This enables highly complex and accurate AI computations to be made directly at the endpoint, without exorbitant power usage.<br> <br> In terms of security and functionality, the WiseEye2 incorporates sophisticated cryptography engines and a layered power management system. These features ensure the solution not only processes data efficiently but also safeguards sensitive information. Its prowess in executing intricate AI models and seamless sensor fusion makes it an ideal player in the AIoT landscape, powering intelligent devices across various verticals from smart home solutions to advanced security systems.<br> <br> Himax's WiseEye2 thus extends its capabilities beyond typical AI solutions, facilitating continuous, real-time processing that is both resource-conservative and remarkably thorough. This blend of low-energy operation with high computational capability positions WiseEye2 as a frontline solution in the push towards smarter, more secure IoT ecosystems.
The RV32EC_P2 Processor Core is a compact, high-efficiency RISC-V processor designed for low-power, small-scale embedded applications. Featuring a 2-stage pipeline architecture, it efficiently executes trusted firmware. It supports the RISC-V RV32E base instruction set, complemented by compression and optional integer multiplication instructions, greatly optimizing code size and runtime efficiency. This processor accommodates both ASIC and FPGA workflows, offering tightly-coupled memory interfaces for robust design flexibility. With a simple machine-mode architecture, the RV32EC_P2 ensures swift data access. It boasts extended compatibility with AHB-Lite and APB interfaces, allowing seamless interaction with memory and I/O peripherals. Designed for enhanced power management, it features an interrupt system and clock-gating abilities, effectively minimizing idle power consumption. Developers can benefit from its comprehensive toolchain support, ensuring smooth firmware and virtual prototype development through platforms such as the ASTC VLAB. Further distinguished by its vectored interrupt system and support for application-specific instruction sets, the RV32EC_P2 is adaptable to various embedded applications. Enhancements include wait-for-interrupt commands for reduced power usage during inactivity and multiple timer interfaces. This versatility, along with integrated GNU and Eclipse tools, makes the RV32EC_P2 a prime choice for efficient, low-power technology integrations.
The Cottonpicken DSP Engine is a versatile digital signal processing solution focused on image processing tasks such as Bayer pattern decoding and various matrix operations. Capable of decoding Bayer patterns into formats like YUV 4:2:2, YUV 4:2:0, and RGB, it offers programmable delays and supports YCrCb and YCoCg colorspaces. The engine is designed to handle 3x3 and 5x5 kernel filters and specific matrix operations. This DSP core operates at the full data clock, supporting pixel frequencies up to 150 MHz, depending on the platform. This capability makes it a robust choice for high-throughput applications requiring real-time image processing capabilities. The Cottonpicken DSP Engine is offered as a closed-source netlist object, part of a comprehensive development package tailored for high-performance tasks. Its efficient architecture allows seamless integration into custom designs, particularly for applications that require intense computational tasks and high-speed signal processing.
HFFx Auto is a cutting-edge high-frequency restoration technology that addresses audio quality challenges often present in modern multimedia. This effect compensates for high-frequency losses resulting from lossy codecs, data throttling, and older legacy codecs used in streaming, broadcast, and digital TV content. It is particularly effective on material that was originally bandwidth-limited, such as recordings with low sampling rates. The functionality of HFFx Auto extends beyond simple restoration. It dynamically adjusts to varying channel bandwidths, ensuring consistent high-quality audio output regardless of the transmission medium. This adaptability also allows for up-conversion to higher sampling rates, providing a more open and natural sound. For manufacturers and service providers, HFFx Auto represents a solution to the perennial problem of audio degradation in compressed digital media, offering them a means to significantly enhance user experience by restoring clarity and depth to audio tracks.
The RayCore MC is a state-of-the-art real-time path and ray-tracing graphics processing unit (GPU) designed to enhance rendering efficiency while maintaining reduced power consumption. This GPU is particularly adept at delivering highly realistic graphics through advanced ray tracing capabilities. With its low-power design, the RayCore MC is optimized for industries that require robust real-time graphics rendering, making it perfect for gaming and immersive virtual environments. Built on cutting-edge architecture, the RayCore MC accelerates the computation of complex image structures by simulating how light interacts with various surfaces. This results in enhanced graphic realism where minute details of light and shadow are vividly portrayed, greatly enriching visual experiences. By leveraging AI processing, this GPU not only improves the speed and quality of rendering but also enables innovative features that push the boundaries of current graphical capabilities. The RayCore MC has been widely recognized for its contributions to the evolution of graphic technology, earning accolades such as being listed among top HPC solutions. With its potent blend of power efficiency and high-performance rendering, it serves as a critical component for developers aiming to build next-generation graphics applications.
The TSP1 Neural Network Accelerator from Applied Brain Research is a cutting-edge AI solution built to handle complex AI workloads with remarkable efficiency. Designed specifically for battery-powered devices, this chip excels in low-power operations while processing extensive neural network tasks. At its core, the TSP1 integrates state-of-the-art processing capabilities tailored for time series data, essential for applications like natural voice interfaces and bio-signal classification. This innovative chip is notable for its energy efficiency, consuming less than 10mW for complex AI tasks, making it an ideal solution for energy-conscious applications. Furthermore, it supports an array of sensor signal applications, ensuring versatile functionality across different domains including AR/VR, smart home automation, and medical wearables. By incorporating the Legendre Memory Unit, a proprietary advanced state-space neural network model, the TSP1 achieves superior data efficiency compared to traditional network architectures. ABR’s TSP1 stands out for its ability to perform powerful AI inferences with low latency, essential for real-time applications. It supports a wide range of interfaces, making it suitable for diverse integration scenarios, from voice recognition to industrial automation. Additionally, the chip's optimized hardware is key for algorithm scaling, facilitating smooth processing of larger neural models without compromising speed or performance.
The NMFx Night Mode Effect is tailored to improve the intelligibility of quiet sounds, such as speech, while suppressing loud sounds that can disrupt neighboring spaces. This mode is especially applicable in nighttime settings where maintaining a peaceful environment is crucial. It provides an enhanced audio experience by balancing the volume output without losing clarity of essential sounds. The NMFx employs sophisticated signal processing algorithms to dynamically manage audio levels, ensuring that vital sounds, like dialogue, are boosted even when the overall soundscape is hushed. It’s an ideal solution for consumer electronics like televisions and sound systems, designed to prevent disruptions in shared living spaces. This effect is a boon for users who prefer a balanced soundscape that won’t disturb others, while still allowing full engagement with the media content. Incorporating NMFx into products can significantly improve consumer satisfaction, especially in apartments or other shared living environments.
The SmartFx Audio Effects Suite is a comprehensive set of tools designed to elevate the audio experience on consumer devices. By integrating advanced audio processing capabilities, it delivers natural and fuller sound that includes enhanced bass and dynamic range control. Users can enjoy an easy-to-use graphical interface that allows real-time adjustments, making it a versatile solution for audio content enhancement. One of the standout features of SmartFx is its ability to adapt the audio output to different listening environments, providing consistent quality whether at home or on the go. The suite employs sophisticated algorithms to ensure the audio maintains intelligibility and clarity, even when faced with lossy codec challenges or data throttling. SmartFx is perfect for manufacturers looking to integrate premium sound capabilities into their products. By utilizing this suite, devices can offer improved audio fidelity, meeting the high expectations of modern consumers who demand rich, immersive sound experiences.
MajEQ is a versatile equalization tool engineered to optimize audio outputs by precisely matching frequency response target curves. It can automatically or semi-automatically adjust to achieve the desired sound, whether for correcting loudspeaker outputs or enhancing audio playback quality across various devices. This tool is highly beneficial in both fixed installations, like venue sound systems, and dynamic settings where responsive environmental adjustments are necessary. Users can tailor sound responses in real-time, ensuring that the audio output remains balanced and high-fidelity, regardless of external factors. MajEQ is a valuable asset for audio manufacturers looking to add a layer of sophistication to their products. By improving sound quality and adaptability, this tool not only meets but often exceeds user expectations for audio performance, making it integral for high-end audio solutions and consumer electronics alike.
The PB8051 Microcontroller by Roman-Jones is engineered to emulate the widely-recognized 8051 Microcontroller Family, optimized for Xilinx FPGAs. Boasting software compatibility with the 8031, it adeptly executes code generated by 8051 design tools, while the architecture enhances performance via the optimized PicoBaze softcore microcontroller.<br><br>This core uses negligible hardware (around 300 FPGA slices), facilitating a seamless integration into existing FPGA systems. It offers users the benefits of utilizing existing 8051 object code, supported in all Xilinx FPGAs, including Spartan II and above. Capable of being programmed in VHDL and Verilog, it provides flexibility to developers and engineers who might need specific configurations or features.<br><br>The PB8051 includes comprehensive development resources, such as simulation netlists, reference designs, and emulation tools to streamline the design process. The price of $495 includes access under the SignOnce IP license for unrestricted use, making it an advantageous option for those seeking an affordable, scalable microcontroller solution designed by experts in the field.
The ARDSoC Embedded DPDK is an innovative FPGA IP core that extends the functionality of DPDK into ARM-based systems. Designed to bypass traditional Linux network stacks, it saves precious ARM processor cycles by directly linking to data processing components. This core brings cutting-edge datacenter capabilities to embedded environments, enhancing performance in low-SWaP (Size, Weight, and Power) applications. ARDSoC excels in reducing total cost of ownership, power consumption, and latency, especially when compared to legacy x86 solutions. The core supports packet vector and container-aware applications, making it ideal for edge devices employing protocols like CCIX, RDMA, and NVMe-oF. With seamless cross-compilation to ARM and significant power and latency reductions, it provides a substantial performance boost in datacenter settings. Designed for Xilinx platforms, the core supports plug-and-play operability with Yocto Linux and Xilinx Vivado. This allows developers to quickly transition applications from prototype to production while maintaining high throughput—up to 64 Gbps—without packet loss. Its harmonized interaction between ARM processors and data structures is a hallmark of Atomic Rules' engineering expertise.
Uniquify's Edge AI Neural Network Fabric 2.0 is specifically designed for the next generation of neural networks, supporting a wide range of architectures including CNN, RNN, FNN, and GAN. This innovative framework is notable for its smaller area, reduced cost, and decreased power consumption, making it an ideal solution for AI applications. It provides robust support for batch normalization and autoencoders, enhancing both performance and efficiency in AI processing tasks. This architecture is pivotal in driving advancements in edge computing, where computational efficiency and reduced energy usage are critical.
Enyx's nxFramework Development Kit offers a comprehensive platform for building and maintaining FPGA applications catered to the financial industry's demanding needs. This robust environment is crafted to support the development of ultra-low latency applications by providing an array of tools and IP cores, allowing for the fine-tuning of trading solutions and ensuring optimal performance. The nxFramework is built on a decade of experience in the industry, providing developers with a powerful suite to create high-performance, FPGA-enabled trading engines and execution systems. The environment includes a vast library of connectivity and utility IP cores, aiding architects in designing applications that achieve superior speed and efficiency. Additionally, it features a range of simulation tools and software libraries that ease the process of managing FPGA resources, allowing traders and developers alike to focus on enhancing core business functionalities. This framework is particularly of interest to those aiming for rapid prototyping and deployment of new financial applications while minimizing time to market through its simplified development processes.
Semidynamics' Tensor Unit represents an advanced solution for executing intensive AI workloads, particularly when involving matrix multiplications, common in large-scale language and neural network models. This fully-coherent unit integrates with Semidynamics' RISC-V cores, providing fluid interaction and data transfer with their vector units. It is specifically optimized for matrix-heavy computations, delivering low-power yet high-speed computation capabilities directly from the core system architecture. The unit operates seamlessly within an RISC-V vector-enabled Linux environment and leverages existing vector registers to minimize additional hardware and programming complexity. This integration ensures enhanced performance by eliminating traditional bottlenecks and the need for cumbersome Direct Memory Access (DMA) programming. Instead, it relies on efficient designs and memory handling technologies, such as Semidynamics' Gazzillion Misses™, to optimize data flows internally within the system. With the Tensor Unit, developers gain the capacity to execute fast AI processes efficiently, boosting performance 128 times faster compared to standalone scalar core solutions. This makes it an indispensable component for running complex AI tasks such as neural network inference and training operations, underscoring its role in powering next-generation AI applications.
The BAT Audio Platform represents a leading-edge audio IP solution developed for battery-powered System-on-Chip (SoC) applications. Intelligently designed to offer unparalleled audio fidelity, this platform significantly enhances auditory features in SoCs, accommodating uses from active noise cancellation and beamforming to voice user interfaces. With a focus on low energy consumption, BAT ensures extended battery life, optimizing devices for efficient operations. Offering an expansive array of off-the-shelf solutions combined with numerous customization options, BAT enables rapid market readiness and risk reduction by building upon top-tier, silicon-proven IPs. This platform not only accelerates project timelines but also decreases development costs, freeing clients to focus on their core competencies while leveraging Dolphin's audio expertise. Incorporating features like WhisperTrigger for ultra-low-power voice activity detection and WhisperExtractor for energy-saving analog feature extraction, BAT represents a holistic approach to advancing audio technology. The platform’s digital and mixed-signal solutions provide seamless integration and configuration, ensuring high fidelity and low power consumption across a spectrum of applications from consumer electronics to IoT devices.
The EOS S3 is a sensor processing platform by QuickLogic that exemplifies low-power design optimized for always-on applications, such as voice recognition and sensor data processing. This platform uniquely integrates a programmable logic architecture that supports the efficient execution of complex algorithms without heavily taxing power resources. Featuring an open-source development environment, the EOS S3 platform ensures developers have access to essential tools and resources, fostering innovation and reducing time to market. QuickLogic’s commitment to security is reflected in the inclusion of features aimed at debugging, verification, and protection, ensuring robust security throughout the product lifecycle. As part of QuickLogic’s thrust towards versatile solutions, the EOS S3 is well-suited for mobile and wearable applications where size, weight, and power considerations are paramount. Its ability to provide advanced processing capabilities on a minimal power budget makes it a go-to choice for leading-edge embedded application developers.
Application Specific Instruction Set Processors (ASIPs) from Wasiela are designed for customizability and efficiency across a range of applications. These processors feature specialized instruction sets to maximize performance in targeted tasks, acting as hardware accelerators that optimize power usage and performance in specific operating contexts.
The AI/ML Accelerators offered by InCore Semiconductors are engineered to enhance artificial intelligence and machine learning capabilities. These accelerators are designed to provide significant computational boosts essential for AI/ML tasks, delivering superior performance without compromising on power efficiency. They accommodate the varying demands of AI applications, making them indispensable in sectors where data processing speed and efficiency are key. These accelerators utilize cutting-edge RISC-V architecture to maximize the processing power and efficiency necessary for handling complex algorithms and high-volume data tasks. The AI/ML Accelerators' design ensures that users can efficiently deploy their AI solutions, adapting quickly to the dynamic requirements that modern-day AI demands. InCore's dedication to advancing AI/ML technologies is reflected in the architecture of these accelerators, which provide a balance between performance, power consumption, and configuration flexibility. This balance makes them suitable for a multitude of applications, from on-device AI processing to scalable cloud-based AI systems, reinforcing InCore's position at the forefront of semiconductor innovation.
AI in Business Intelligence by Gyrus AI is a robust framework designed to transform raw data into actionable insights for businesses. The solution employs sophisticated machine learning algorithms to uncover patterns and trends within enterprise data, aiding in decision-making and enhancing operational strategies. By enabling features such as audit trails, Gyrus AI addresses the necessity for model transparency and explainability, crucial for industries heavily reliant on compliance. This solution leverages ensemble modeling techniques to perform quality control and anomaly detection, essential for maintaining high standards in data accuracy and reliability. Additionally, the AI framework supports processes like lead scoring and propensity modeling, allowing businesses to optimize customer engagement and sales strategies. Through predictive forecasting and natural language generation, the system enhances decision-making efficiency across various departments. By integrating AI into business intelligence processes, Gyrus AI empowers companies to harness the full potential of their data. The robust framework offers modular configurations that adapt to specific enterprise needs, supporting optimization in areas such as equipment usage, emission control, and throughput enhancements. With Gyrus AI's dedicated support for explainable AI models, businesses can adopt cutting-edge technologies without compromising on clarity and confidence in their computational decisions.
PanAccelerator from Panmnesia is designed as a versatile AI accelerator, equipped with cutting-edge connectivity options courtesy of CXL technology. It transforms traditional AI acceleration frameworks by disaggregating computing and memory resources to facilitate efficient large-scale AI service deployments. This accelerator exemplifies Panmnesia's dedication to crafting high-performance computing solutions that effectively balance cost and power efficiency without sacrificing processing speed. The accelerator embodies a harmonious integration of CXL's cache coherent interconnect, enhancing shared memory scalability and significantly improving computational throughput. This empowers AI models to execute with superior speed, fostering an environment that is conducive to efficient massive data processing. By leveraging CXL, the PanAccelerator addresses memory limitations often encountered with traditional AI models, enabling more flexible resource management adaptable to fluctuating processing demands. Through its robust design optimized for parallel vector and tensor processing, the accelerator not only increases process efficiencies but also reduces the infrastructure costs associated with large-scale AI deployments. PanAccelerator encapsulates Panmnesia's vision of advancing AI capabilities by making it possible to easily manage and deploy different computational processes, offering unparalleled advantages in AI strategy execution for enterprises pursuing transformative technological enhancements.
The logiI2S is a high-fidelity audio transmitter and receiver IP core, compliant with the Inter-IC Sound (I2S) bus standard, and compatible with AMD FPGAs and Zynq 7000 AP SoCs. It facilitates digital audio connectivity, offering seamless data transfer between devices in a sound system.<br><br>Designed for applications requiring clear audio signal transmission, such as home entertainment, automotive infotainment, and professional audio systems, the logiI2S maintains exceptional audio quality and synchronization.<br><br>Incorporating this IP core into sound-handling systems ensures reliable audio processing, promoting ease of use and integration across varied platforms. It stands as an integral component for digital audio environments demanding top-tier performance and adaptability.
The FlashKit platform is meticulously crafted to support the energy-efficient development of system-on-chips (SoCs). It serves as a comprehensive solution that helps optimize the power consumption of SoCs without compromising performance. FlashKit delivers a seamless experience for developers, offering tools that streamline the design process, reduce power usage, and enhance the overall efficiency of SoCs. This platform is particularly valuable in applications where energy conservation is critical, making it ideal for portable devices and other power-sensitive technologies.
The logiVDET represents advanced capabilities in object classification to detect vehicles accurately within video streams, thus becoming an essential component for traffic management and surveillance systems, enhancing vehicular detection accuracy and system response times.
ChipCraft's GNSS Receiver represents a state-of-the-art integration of navigation technology, designed to support multiple satellite constellations and deliver robust location tracking. This receiver stands out with its high performance in complex environments, effectively reducing multi-path errors and maintaining signal integrity for precise positioning. The GNSS Receiver excels in accuracy, providing real-time kinematics and dead reckoning capabilities for enhanced navigation applications. Supporting a high update rate, it ensures timely data processing essential for dynamic applications such as autonomous drones, smart agriculture, and infrastructure monitoring. This technology is adaptable for various applications, from lane-level navigation to autonomous vehicle operations, due to its compact design and low energy requirements. Developed with cutting-edge integration techniques and comprehensive software support, the ChipCraft GNSS Receiver offers a reliable and versatile solution for modern navigation challenges.
The VocalFusion product line specializes in enhancing voice-activated interfaces, engineered for applications ranging from doorbells to smart TV systems. This technology promises to deliver exceptional far-field voice capture, even amidst challenging acoustic environments, by leveraging advanced DSP capabilities. VocalFusion integrates beamforming, acoustic echo cancellation, and noise suppression technologies to provide smooth voice recognition and command execution. The precise execution of these functions makes the product ideal for embedding in consumer devices seeking to add smart, interactive features. Designed with multiple microphone arrays, these solutions ensure comprehensive voice capture and reliable user interaction. The product family supports various configurations, including linear and circular microphone setups, adaptable to distinct user requirements. Its flexibility extends to the integration process, with USB and I2S connectivity ensuring compatibility with a wide range of host systems. Thus, VocalFusion stands as a robust solution for manufacturers aiming to embed efficient, interactive voice interfaces within their product offerings.
(OBSOLETE) This IP core, specialized for pedestrian detection via HOG/SVM, was directed towards enhancing pedestrian safety through its adept video classification capabilities in vehicle systems, a proven design until its decommissioning.
The logiFDT IP core is an advanced face detection and tracking engine that performs real-time facial recognition, tracking head position, gaze direction, and other key facial features. Optimized for the AMD Zynq 7000 SoC, this versatile core provides comprehensive data ideal for applications in security, user interface enrichment, and interactive systems, enabling sophisticated face-driven controls and interactions. By implementing logiFDT, systems can analyze and respond to user presence and engagement with precision.
The Electrical PAM-X DSP is a state-of-the-art signal processor dedicated to enhancing copper connectivity. By pushing the boundaries of existing technologies, this processor is designed to maximize signal integrity over extended copper distances. Its primary application involves Active Electrical Cable (AEC) chips, where it plays an essential role in delivering high-speed data transmission with superior signal quality. This DSP technology is pivotal in empowering next-generation data center applications by facilitating robust and reliable connectivity solutions.
The logiDROWSINE is a cutting-edge computer vision IP core designed for detecting driver drowsiness through facial movement analysis in vehicle environments. Optimized for AMD platforms, it is a foundational component in developing advanced driver monitoring systems. This innovative technology utilizes camera data to monitor drivers' attention levels and fatigue, providing real-time alerts and interventions to enhance road safety.
ENLIGHT Pro represents the next generation of NPU IPs, targeted at high-performance edge devices such as automotive systems and advanced cameras. Engineered for flexibility and scalability, ENLIGHT Pro delivers exceptional compute power with capabilities reaching 4096 MACs per cycle for an 8-bit integer. The IP is able to operate at up to 1.0GHz on a 14nm process node, with performance offerings up to hundreds of TOPS. Designed to support contemporary AI applications, ENLIGHT Pro incorporates key features like tensor shape transformations and support for a variety of data types including integer and floating-point operations. Its architecture benefits from a vector processor that achieves a 16 FP16 MACs per cycle, enhancing computation across diverse tasks. Moreover, its integration of a RISC-V CPU vector extension enriches its adaptability for deep learning models. The software toolkit associated with ENLIGHT Pro facilitates transformation of network files into formats ready for high-level inference, supporting conversions for dominant network frameworks like PyTorch and TensorFlow. This ensures a seamless path from development to deployment, enabling clients to efficiently harness the power of cutting-edge AI technologies in their solutions.
Designed for real-time decoding, the AAC-LC and HE-AAC Audio Decoder supports both AAC-LC and HE-AAC formats, responding to the growing demands for high-definition audio experiences. Its architecture ensures efficient data handling with minimal power usage, maintaining fidelity across various platforms. Providing robust functionality in both ASICs and FPGAs, this decoder manages multiple channel architectures smoothly, aligning with diverse audio systems' needs. It stands out for its ability to decode multiple streams concurrently, making it invaluable for applications that require synchronized audio processing. The decoder's effectiveness in delivering uncompromised audio quality while optimizing resource use makes it a compelling choice for environments focused on superior sound reproduction and low energy profiles, enhancing the overall audio experience in consumer and professional devices alike.
ENLIGHT is a deep learning accelerator designed to enhance inferencing computation with significant efficiency and compute density. It is engineered for edge computing environments, supporting mixed-precision (4/8-bit) operations that reduce DRAM traffic through clever layer partitioning and scheduling. Ideal for various deep neural networks, ENLIGHT delivers impressive performance and energy efficiency, outperforming many alternative solutions. The IP is highly versatile, suited for a range of applications from vehicle detection to surveillance. It includes a sophisticated vector engine optimized for modern deep neural network algorithms, like depth-wise convolution and feature pyramid networks. The ENLIGHT platform can scale out with multi-core support to parallelize DNN layers, ensuring high performance through efficient inter-layer optimization. With a comprehensive toolkit that supports industry-standard network formats like ONNX and TF-Lite, ENLIGHT simplifies the integration process for clients, helping them tailor solutions that precisely fit their needs. The design's extensibility allows for easy adaptation to new DNN changes, ensuring clients stay ahead in the rapidly evolving AI landscape.
The AAC-LC Audio Encoder is designed to provide comprehensive encoding solutions for audio applications requiring AAC-LC format compatibility. Targeting real-time encoding, this IP core is crafted to handle multiple audio streams efficiently, ensuring high performance while keeping power consumption low. Its adaptable design allows for deployment across diverse hardware platforms, including ASIC and FPGA implementations, offering flexibility in addressing varied audio system needs. The ability to manage multiple channels under different configurations augments its utility in professional settings. Core to its design is a focus on delivering high-quality audio efficiency, balancing computational demands with energy efficiency. This encoder ensures reliable performance for developers seeking a robust solution for AAC-LC audio encoding.
The AAC-LC Stereo Audio Encoder specializes in encoding stereo audio streams efficiently, enhancing sound quality while maintaining low power consumption. Compatible with AAC-LC formats, this IP core is optimal for systems that require high-fidelity stereo audio with minimal energy expenditure. Designed for application in both ASICs and FPGAs, it seamlessly integrates into established workflows, supporting real-time audio stream encoding. The focus on stereo channels ensures that users can achieve high-quality audio reproduction in their systems. This encoder's streamlined architecture enables it to deliver optimal performance with reduced silicon usage, making it an excellent fit for devices where space and power consumption are at a premium. Its precision and reliability further add to its suitability for demanding audio applications.
Join the world's most advanced semiconductor IP marketplace!
It's free, and you'll get all the tools you need to discover IP, meet vendors and manage your IP workflow!