Renesas Electronics Corporation

Generating, collecting, and analyzing enterprise data will never be the same.

Edge Computing

Syntiant offers edge-focused deep learning solutions via a combination of specialized processor architecture, an edge-optimized data platform, and a training pipeline for always-on edge AI applications. Syntiant’s “Neural Decision” neural network processors (NDPs) combine low power with high performance to support edge AI applications across a wide range of consumer and industrial use cases, such as earbuds, wearables, smartphones, smart speakers, laptops, automobiles, and internet-of-things (IoT).The company claims that its NDPs typically offer more than 100x efficiency improvement while providing a greater than 10x increase in throughput compared to other low-power MCU-based solutions. As of March 2022, the company reported that it had over 50 customer engagements.Key customers and partnershipsAs of March 2022, the company reported that it had over 50 customer engagements in smart electronic devices, automobiles, and IoT.Syntiant has partnered with several companies to launch industry-focused solutions. It partnered with Renesas Electronics to develop a voice-controlled multimodal solution for image processing in vision AI-based IoT and edge systems (July 2021), with CeramicSpeed to develop low-power autonomous sensors for Industrial IoT applications (January 2022) and with Eatron Technologies to deliver an AI-Ready battery management system (November 2022). Syntiant has also partnered with Tekro to grow its sales in South Korea (August 2021) .Funding and financialsIn March 2022, Syntiant <a href="https://sp-edge.com/updates/9397">raised USD 55 million in new funding </a>to invest in enhancing software capabilities and accelerating deployment of the company’s third-generation Syntiant Core 3 architecture (which was expected to launch in 2023).

EdgeCortix is a Japanese fabless semiconductor company specializing in energy-efficient AI processing for edge devices.The company uses a technique called "hardware and software co-exploration" to design AI-specific runtime reconfigurable processors. EdgeCortix's suite of software and AI chip products accelerates AI inference tasks for computer vision, natural language processing, and GenAI applications with low power and low latency across edge systems.The company's key offerings include MERA, a heterogeneous compiler software framework compatible with multiple hardware platforms; Dynamic Neural Accelerator (DNA), a scalable, runtime-reconfigurable neural network processor intellectual property (IP); and the SAKURA AI co-processor device based on TSMC's 12nm FinFET technology. These products form an integrated platform for real-time AI applications with streaming data, such as high-resolution cameras, sensors, autonomous systems, signal processing, and multi-model GenAI systems.The company makes machine learning solutions accessible by offering near-cloud-level AI performance at the edge and claims to provide over 10x the performance and energy efficiency of traditional GPUs, CPUs, and other processors.Key customers and partnershipsThe company has a strategic collaboration with semiconductor company Renesas Electronics Corporation, integrating its MERA compiler, software, and toolset with Renesas' AI/ML chipsets.EdgeCortix has partnered with BittWare, a manufacturer of enterprise-class FPGA accelerators, to embed its DNA IP and software framework into BittWare's Intel Agilex FPGA-based accelerator cards, delivering high-performance, low-latency AI inference solutions using standard machine learning frameworks.EdgeCortix has also collaborated with OpenFive, a provider of custom silicon solutions, to develop a power-efficient custom 12nm FinFET SoC that accelerates AI processing for real-time edge applications.

Reinventing how computers think based on biological neural networks

Neuromorphic Computing

Syntiant is a deep learning chip technology company founded in 2017 and headquartered in Irvine, California. The company specializes in developing ultra-low-power, high-performance deep neural network processors called Neural Decision Processors (NDPs) for edge AI applications. Syntiant's technology combines deep learning with semiconductor design to enable AI functionality in battery-powered devices without relying on cloud connections.
Syntiant's NDPs are designed to execute deep neural networks natively on various topologies, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and fully connected networks. The company's chips typically offer 100x efficiency improvement and a 10x increase in throughput compared to traditional low-power microcontroller-based solutions. This allows for larger networks at significantly lower power consumption, extending battery life and reducing infrastructure costs.
The company's product lineup includes the NDP100, NDP101, NDP200, and NDP115 processors. The NDP200, built on the Syntiant Core 2 architecture, provides 25 times the tensor throughput of the Syntiant Core 1 found in the NDP100. The latest NDP115, introduced at CES 2023, is designed for ultra-power and size-constrained applications, capable of running speech inferences at 280 microwatts.
Syntiant has achieved significant milestones in its short history. By January 2021, the company had shipped over 10 million of its NDP100 and NDP101 processors. This number increased to more than 20 million processors shipped by March 2022. As of May 2023, Syntiant has expanded its offerings to include hardware-agnostic deep learning computer vision models that can be deployed on various platforms, including the Renesas RZ/V2L microprocessor.
Key customers and partnerships
Syntiant's technology has found applications across various industries and devices. The company's Neural Decision Processors are being used in earbuds, wearables, smartphones, smart speakers, laptops, vehicles, and other IoT consumer and industrial use cases.
Syntiant has established partnerships with several prominent companies in the tech industry. In July 2021, Syntiant announced a collaboration with Renesas Electronics Corporation for a voice-controlled multimodal solution combining Renesas' RZ/V Series MPUs and Syntiant's NDP120 Neural Decision Processor. This partnership aims to enable low-power contactless operation for image processing in vision AI-based IoT and edge systems.
The company has also worked with Infineon Technologies, signing a smart microphone reference design agreement in 2018. This collaboration aimed to complement Syntiant's NDPs with Infineon's high-performance microphone technology.

A new generation of building blocks for emerging tech

Next-gen Semiconductors

Syntiant Corp., founded in 2017 and headquartered in Irvine, California, is a leader in delivering end-to-end deep learning solutions for edge AI applications. The company specializes in developing ultra-low-power, high-performance neural decision processors that enable always-on voice, audio, sensor, and vision applications across various consumer and industrial use cases. Syntiant's technology combines deep learning with semiconductor design to produce Neural Decision Processors (NDPs) that can run multiple neural networks concurrently at extremely low power levels.
The company's flagship products include the NDP series, such as the NDP200, which is designed for always-on edge AI vision applications and can run multiple independent networks concurrently at powers less than 2mW. Syntiant's processors are capable of executing deep neural networks natively on various architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and fully connected networks. The company's solutions typically offer more than 100x efficiency improvement and a 10x increase in throughput compared to current low-power MCU-based alternatives.
Syntiant's technology is applicable to a wide range of devices, including earbuds, wearables, smartphones, smart speakers, laptops, automobiles, and other IoT consumer and industrial applications. The company's processors enable edge devices to hear, speak, see, and feel, bringing cloud-free advanced machine learning solutions to the edge of the network. This allows for mission-critical and time-sensitive decisions to be made faster, more reliably, and with greater security.
As of March 2022, Syntiant had shipped over 20 million of its Neural Decision Processors. The company continues to innovate, with plans to introduce its third-generation Syntiant Core 3 architecture in the future.
Key customers and partnerships
Syntiant has established partnerships with several prominent companies in the technology industry. In July 2021, Syntiant announced a collaboration with Renesas Electronics Corporation for a voice-controlled multimodal solution combining Renesas' RZ/V Series MPUs and Syntiant's NDP120 Neural Decision Processor. This partnership aims to enable low-power contactless operation for image processing in vision AI-based IoT and edge systems.

Developer of artificial intelligence processors designed to deliver near-cloud level performance to edge devices. The company's products span across artificial intelligence processing software and compiler technology, enabling the client to fulfill low-latency, and real-time requirement applications across defense, robotics, and telecommunications industries

Arduino is an open-source electronics prototyping platform based on flexible, easy-to-use hardware and software. It's intended for artists, designers, hobbyists, and anyone interested in creating interactive objects or environments.  Arduino created the worldwide trademark Genuino used as brand name outside the United States.

Syntiant is moving artificial intelligence and machine learning from the cloud to edge devices. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for always-on applications in battery-powered devices, such as smartphones, smart speakers, earbuds, hearing aids, and laptops.

Ventiva's ICE thermal management technology is enabling a revolution for the electronics industry.  An active, hybrid cooling solution with no moving parts or noise, Ventiva ICE is ideal for a wide range of next generation devices including ultra-thin TVs and flat panels, wireless chargers, automotive applications, IoT devices, laptops, tablets and more.  Based upon the principle of ionization, Ventiva ICE bridges the gap between active and passive thermal management in a solid state form factor.  The first new thermal management cooling technology to be introduced in decades, Ventiva ICE is now sampling to OEMs and ODMs globally.

Renesas Electronics is a semiconductor manufacturer that provides advanced semiconductor solutions, including microcontrollers, SoC solutions, and a broad range of analog and power devices, as well as LCD modules. It provides solutions for several industries such as automotive, energy, medical and healthcare, PC and PC peripheral, connectivity, human interface, mobile, power supply, RF front end, motor control, and more.   The company’s portfolio of products includes microcontrollers and microprocessors, power devices, RF devices, analog ICs, analog and mixed signal devices, optoelectronics, LSI for automotive and factory automation, memory products, ASIC, USB ASSP, and system LSI. Development tools are also available under the categories: starter kits and platforms, OS, middleware and drivers, IDEs and project managers, coding tools, emulation and debugging, flash and PROM programming, and boards and kits.   Renesas Electronics was established in April 2010 with the integration of NEC Electronics Corporation and Renesas Technology Corporation. It is headquartered in Tokyo, Japan.

<div> Renesas Electronics Corporation (TSE: 6723) is a leading global provider of semiconductor solutions headquartered in Tokyo, Japan. Founded in 2002, Renesas designs and manufactures microcontrollers, microprocessors, analog, power, and system-on-chip (SoC) products for automotive, industrial, infrastructure, and IoT applications. Renesas offers a wide range of semiconductor products and solutions, including: <ul> <li> Microcontrollers and microprocessors for automotive and industrial use </li> <li> Power management and conversion chips </li> <li> Analog and mixed-signal ICs </li> <li> Connectivity solutions like Ultra-Wideband (UWB) chips </li> <li> Software and development tools to support its hardware offerings </li> </ul> The company has been expanding its capabilities through strategic acquisitions and partnerships. In February 2024, Renesas announced plans to acquire Altium, an Australia-based electronic design software company, for USD 5.89 billion. In January 2024, Renesas acquired US power semiconductor company Transphorm for USD 339 million to boost its presence in gallium nitride (GaN) chips for electric vehicles. Renesas has also formed partnerships with companies like Tata Motors and Tejas Networks to develop automotive electronics and wireless network solutions. As of February 2024, Renesas reported full-year 2023 revenue in the range of JPY 1,458 billion to JPY 1,473 billion. The company is investing to expand production capacity, including JPY 90 billion to increase power semiconductor output at its Kofu factory in Japan. Renesas aims to capitalize on growing demand in areas like electric vehicles, artificial intelligence, and internet of Things applications as it continues to strengthen its position as a leading global semiconductor supplier. </div>

Renesas Electronics

Renesas Electronics Corporation Launches Ultra Compact Sensor Module for Smart Air Quality Monitoring at Homes, Schools and Public Buildings

Companies that develop low-power, high-performance semiconductors for sensors, wearables, and other connected devices.

Companies that develop semiconductors that can support high-bandwidth and low-latency requirements of 5G networks and other wireless communication technologies.

Companies that develop semiconductors that focus on automotive applications such as advanced driver assistance systems (ADAS) and autonomous driving as well as in-car entertainment and communication systems.

Companies that develop semiconductors to improve the performance of data center infrastructure.

Companies developing semiconductors for other emerging tech applications, including quantum and edge computing.

Autonomous and connected technologies shaping the future of the auto industry

Auto Tech

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<div>
 Automotive software company LeddarTech has signed a licensing agreement with Renesas Electronics America, a semiconductor company. The agreement involves the commercialization of LeddarTech's “LCA2” and “LCA3” system-on-chip (SoC) products.
 LeddarTech's LiDAR software combined with AI-based low-level fusion and perception will be used to develop programmable SoC products. These products are aimed at OEMs and tier 1-2 suppliers for usage in advanced driver assistance systems (ADAS) and autonomous driving (AD) functionalities.
 This deal forms a part of LeddarTech's strategic transition into a purely automotive software company. Renesas is a significant partner in this transition as one of its major licensees.
</div> Analyst QuickTake: 
 LeddarTech announced plans to move away from its LiDAR hardware component business and focus on software development in <a href="https: 
//sp-edge.com/updates/14304"> November 2022. </a> We believe today’s licensing agreement will help the company maximize the value of foundational solid-state LiDAR technology assets.

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