tinyML Sponsors

Analog Devices, Inc. operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed-signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA. Visit https://www.analog.com

AONDevices (AON) is a fabless semiconductor company founded in 2018, headquartered in Irvine, CA.

AON specializes in developing ultra-low power, high accuracy AI processors that enable unprecedented sensing capabilities in battery powered “always on” devices. Its processors enable natural human-machine interface at the device level without compromising battery life or sending any data to the cloud, thus improving user experience and assuring privacy. When featured in devices, such as phones, headsets, wearables, game controllers, toys, vehicles, or in smart home appliances, AON’s technology enables constant sensing to detect multiple concurrent events, such as voice commands, baby cry, gunshot, etc., while also detecting specific motion patterns, such as walking or falling.

AON’s technology and expertise combine AI algorithms and a proprietary neural network architecture with a deep domain understanding of voice, audio, and other sensory algorithms to yield turn-key solutions, optimized for specific product applications.

 For more information on Aspinity, stay in touch on LinkedIn and Twitter: @aspinity, email: info@aspinity.com or visit https://Aspinity.com.

Aspinity is the world leader in the design and development of analog processing chips that are revolutionizing the power- and data-efficiency of always-on sensing architectures. By delivering highly discriminating analog event detection, Aspinity’s ultra-low power, trainable and programmable analogML core eliminates the power penalty of moving irrelevant data through the digital processing system, dramatically extending battery life in consumer, IoT, industrial and biometric applications.

 

BrainChip Inc. provides neuromorphic computing solutions, a type of artificial intelligence that is inspired by the biology of the human neuron. The company’s spiking neural network technology can learn autonomously, evolve, and associate information just like the human brain. This digital technology enables applications which require fast operation with ultra-low power consumption. BrainChip provides software and hardware solutions for Smart City, Smart Health, Smart Home, and Smart Transportation applications.

BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable of. The solution is a high-performance, ultra-low power, and enables a wide array of edge capabilities that include continuous learning and inference. By mimicking brain processing BrainChip has pioneered an event domain neural network processor, called Akida™, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a datacenter. The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio, and smart transducer applications. The reduction in system latency provides faster response and a more power-efficient system that can help reduce the large carbon footprint of datacenters.

CEVA is the world’s leading licensor of wireless connectivity and smart sensing technologies, partnering with semiconductor companies and OEMs worldwide to create power- efficient, intelligent and connected devices. We target a range of end markets with our technologies, including mobile, consumer, automotive, industrial, robotics, aerospace & defense and IoT. We provide our customers with vertically integrated hardware and software solutions that enable them to develop intelligent, connected devices with superior performance, power efficiency and flexibility. Whether it is sensing, analyzing and applying AI to data from a camera, a microphone or an inertial measurement unit, or connecting a device using 5G, cellular IoT, Bluetooth, Wi-Fi or UWB, our unique technology portfolio lowers barriers-to-entry, time-to-market and costs associated with getting to market. For customers who require chip design expertise to build the system incorporating our IPs, we also offer Integrated IP solutions. More than 13 billion CEVA-powered products have shipped worldwide to date.

Webex provides cloud-based video conferencing, collaboration, customer experience software, and collaboration devices. At Webex, we start with people and their experiences first. Everything that we conceive, design, and build has inclusivity at its core. With Webex, security, privacy, AI and machine learning are built in. Webex integrates with the world’s leading business and productivity applications, enabling collaboration through a single application and interface. Our cloud-based collaboration platform is purpose built to break down barriers, bring people closer–to their work, each another, and their customers. When the world is more inclusive, it’s good for people, our society, and business.

Deeplite is enabling AI for everyday life. Deeplite uses AI to automatically make other AI models smaller, faster, and more energy-efficient creating highly compact, high-performance deep neural networks (“DNNs”). The AI can run at the ‘edge’ in vehicles, cameras, sensors, drones, phones and many other devices you use every day. 

 To enable this, Deeplite provides its automated optimization software engine “Deeplite Neutrino”. Neutrino is focused on faster-time-to-market for machine vision AI applications such as image classification, object detection and segmentation. These computer vision applications can now be operational within hours or days rather than months. 

 To compliment Deeplite Neutrino™, Deeplite will be launching its second product in the coming months called DeepliteRT (“DLRT”). This product will make machine vision AI applications even smaller and faster, without compromising accuracy. DLRT will enable an innovative way to run ultra-low bit quantized models on commodity hardware while at the same time keep the accuracy loss as minimal as possible. 

Deeplite is enabling AI for everyday life. Deeplite uses AI to automatically make other AI models smaller, faster, and more energy-efficient creating highly compact, high-performance deep neural networks (“DNNs”). The AI can run at the ‘edge’ in vehicles, cameras, sensors, drones, phones and many other devices you use every day. 

 To enable this, Deeplite provides its automated optimization software engine “Deeplite Neutrino”. Neutrino is focused on faster-time-to-market for machine vision AI applications such as image classification, object detection and segmentation. These computer vision applications can now be operational within hours or days rather than months. 

 To compliment Deeplite Neutrino™, Deeplite will be launching its second product in the coming months called DeepliteRT (“DLRT”). This product will make machine vision AI applications even smaller and faster, without compromising accuracy. DLRT will enable an innovative way to run ultra-low bit quantized models on commodity hardware while at the same time keep the accuracy loss as minimal as possible. 

DSP Group, Inc. develops wireless communications and voice processing chipsets, algorithms, and software solutions for converged communications and smart-enabled devices. Core competencies include, but are not limited to, voice processing. Its technology supports the development and integration of voice user interfaces (VUIs) for applications ranging from smartphones to the smart home. Its Ultra-Low Energy (ULE, per the ULE Alliance) wireless solutions enable low-power, long-range, secure communication applications for the IoT and are distinguished by their native support of two-way voice communication. On-going development efforts include the application of machine learning (ML) and artificial intelligence (AI) hardware and algorithms to address the need for accurate AI solutions at the edge for applications such as sound detection, proximity detection, and acoustic beacons.

Edge Impulse is the leading development platform for edge machine learning used by over 40,000 developers across 65,000 projects worldwide.

Edge Impulse provides the ultimate development experience for tinyML on embedded devices for sensors, audio, and computer vision, at scale. It enables the deployment of highly-optimized ML on hardware ranging from MCUs to CPUs and custom AI accelerators.

With Edge Impulse, developers, engineers, and domain experts are equipped with the tool they need to solve their real-world problems using edge ML. The company specializes in smarter edge solutions for industrial, logistics, consumer, and health, with enterprises building applications for predictive maintenance, asset tracking and monitoring, and human and animal sensing.

EdgeCortix Inc. is a leading provider of artificial intelligence hardware acceleration solutions, specially designed for edge computing scenarios. The Company’s revolutionary new Dynamic Neural Accelerator (DNA) architecture is a reconfigurable, highly scalable and power-efficient data-flow based AI processor design. DNA, when combined with the company’s proprietary deep learning compiler, enables easy deployment of neural network models with high energy-efficiency and low-latency on custom system-on-chips or FPGAs. The Company provides software and hardware acceleration solutions that address the high-performance and low-latency requirements in advanced driver assistive systems, autonomous vehicles, gaming, financial technology, cybersecurity, industrial robotics and other advanced vision systems.

emza is an Israeli company dedicated to the development of visual sensors that include machine-vision algorithms and specific architectures to enable always-on visual sensing

Our visual sensors are applicable to a variety of markets and functions – from face recognition on notebooks, intruder’s detection in smart home security systems, through count of people in smart buildings to people awareness and profiling, for connected home appliances.

emza was acquired by HiMax Technologies (NASDAQ: HIMX) in April 2018, a supplier and fabless manufacturer of display drivers and other semiconductor products.  With the acquisition, emza is positioned to deliver IoT solutions which integrate Himax’s CMOS technology and ASIC designs with emza’s computer vision machine learning (ML) algorithms.

Eta Compute creates energy-efficient AI endpoint solutions that enable sensing devices to make autonomous decisions in energy-constrained environments in smart infrastructure and buildings, consumer, medical, retail, and a diverse range of IoT applications.

Founded in 2021, Fotahub is a technology startup with the focus on building collaborative, Cloud-based, secured and Silicon vendor-neutral OTA service platform and solutions.

Building AIoT and TinyML systems means creating innovation and value. To ensure that value over time, those systems must be updatable. Fotahub guarantees easy deployment and over-the-air update of trained AI models on edge devices. It also keeps track of firmware versions and creates releases regardless of the location of the physical devices. This is crucial in the edge AI and TinyML workflows and fits perfectly within the TinyML MLOPS (Machine Learning Operations) scope. Indeed, Fotahub contributes to easing the burden of long-term maintenance, and ultimately improving the model’s performance in the field.

 

FotaHub helps dramatically reduce time, costs and effort to get AIoT and TinyML systems ready and allows them to evolve over the whole product lifetime.

 

GrAI Matter Labs has created an AI Processor for use in edge devices like drones, robots, surveillance cameras, and more that require real-time intelligent response at low power. Inspired by the biological brain, its computing architecture utilizes sparsity to enable a design which scales from tiny to large-scale machine learning applications.

Meet GreenWaves Technologies.

tinyML Summit. Panel discussion. March 23 at 12:00 PM Pacific Time
Martin Croome, VP of Marketing at GreenWaves, will be talking about “A real application of tinyML in Intelligent Building Sensors”.

GreenWaves Technologies is a fabless semiconductor start-up designing embedded processors for interpreting and transforming rich data sources such as images, sounds and more in highly power-constrained devices such as hearables, wearables and IoT sensors.

Our second generation GAP9 processor enables state of the art digital signal processing features like adaptive active noise cancellation, spatial sound, and AI based voice enhancement in hearable devices such as Truly Wireless Stereo earbuds.
GAP8 – our first generation product in production now enabling a new generation of IoT Sensors.

The company is headquartered just outside Grenoble, France.

Grovety is a software design house with an intense background of 30 years in embedded firmware, SDKs, drivers, protocols, all the way down to low-level programming. With a team of 40 highly capable engineers and architects experienced in solving the most complex tasks in dozens of international projects, the Grovety team specializes in NN accelerators and other special-purpose chips (MCU / DSP / FPGA / TPU), staying focused on LLVM and TVM frameworks.

For Arm-based AI chipmakers
– TVM and LLVM adaptation for efficient AI tasks performance on your hardware platform

For Arm-based AI chips users
– Optimize your neural network inference for a needed hardware platform.
– Execution infrastructure deployment.
– Neural network optimization for a target processor.
– OTA updates infrastructure design.
– Neural network and hardware platform selection for optimal performance/cost ratio.
– Remote Continuous Integration on the real hardware set-up and support.

 

With 1.6M+ members and 27K+ open source projects, Hackster.io, an Avnet community, is the world’s largest developer community for learning, programming, and building hardware. Share your projects with developers around the globe, compete in engineering contests led by influential technology companies and follow Hackster News for daily projects, giveaways and industry news.

www.hackster.io/news
www.hackster.io/contests
www.hackster.io/events

Himax Technologies, Inc. provides semiconductor solutions specialized in computer vision for consumer electronics brands worldwide. Our design and engineering expertise, combined with our focus on customer service and close relationships with semiconductor manufacturing service providers, has contributed to our success.

WE-I Plus, an AI accelerator-embedded ASIC platform for ultra-low power applications, is designed to develop and deploy convolutional neural networks (CNN)-based machine learning (ML) models on battery-powered AIoT applications. Sensor fusion applications have brought greater convenience to people’s lives by enabling motion sensing, human presence detection, people counting, face detection, speech recognition, etc. Integrating an always-on image sensor with an AI processor which supports the Google Tensor flow lite for microcontrollers framework, WE-I Plus removes the barriers of AI algorithm development.

Our AI vision and sensor fusion solution is designed for predictive maintenance, condition monitoring, asset tracking, and occupancy detection applications where power efficiency, bandwidth optimization, and privacy are key requirements.

Connect via: LinkedIn and Twitter

Himax Technologies, Inc. (NASDAQ:HIMX) is the leading provider of semiconductor solutions dedicated to display imaging processing for consumer electronics brands worldwide.

 

Where state-of-the-art Edge AI applications continue to be faced with large constraints in computing power, embedded memory, and power supply, Himax’s WE-I Plus ultralow-power microprocessor is designed to address all these considerations. In addition, WE-I Plus is equipped with a proprietary sensor interface that seamlessly links with Himax’s ultra-low-power AoS (Always-on Sensor) to support fast wake-up for quick sensor image capture.

 

WE-I Plus is now adapted to a wide range of computer vision applications that allow the digital world to interact with the real world. It has been well received in these user scenarios: automatic meter reading, object detection, people counter, smart doorbell, occupancy management, digital signage, smart video conference, gesture recognition, etc.

Hammer of the Gods (HOTG) makes it possible to develop, deploy, and manage apps and models (tinyML apps) on constrained devices. In the next few years, we are expecting a quadratic growth in sensors (especially Arm/Nvidia based devices) and data (5G) resulting in the need for a massive number of developers. HOTG is building the developer tools and the infrastructure layer to bring developers to the intersection of AI, hardware, and tinyML software.

Imagimob is a startup driving innovation at the forefront of Edge AI and tinyML enabling the intelligent products of the future. Based in Stockholm, Sweden, the company has been serving global customers within the automotive, manufacturing, healthcare, and lifestyle industries since 2013. In 2020, Imagimob launched SaaS Imagimob AI for the end-to-end development of Edge AI applications for devices with constrained resources. Imagimob AI guides and empowers users throughout the entire development journey. Dedicated to staying on top of the latest research, the Imagimob team is always thinking new and thinking big.

Connecting the real and the digital world

At Infineon, we combine entrepreneurial success with responsible action to make life easier, safer and greener. Barely visible, semiconductors have become an indispensable part of everyday life. Ranked one of the global top 10 semiconductor companies, we play a key role in shaping a better future – with microelectronics that link the real and the digital world. Our semiconductors enable efficient energy management, smart mobility, as well as secure, seamless communications in an increasingly connected world.

 

Infineon designs, develops, manufactures and markets a broad range of semiconductors and system solutions. The focus of its activities is on automotive and industrial electronics, communication and information technologies, IoT, sensor technology and security. The product range comprises standard components, software, customer-specific solutions for devices and systems, as well as specific components for digital, analogue, and mixed-signal applications.

Infineon Technologies AG is a world leader in semiconductor solutions that make life easier, safer and greener. Microelectronics from Infineon are the key to a better future. With around 50,280 employees worldwide, Infineon generated revenue of about €11.1 billion in the 2021 fiscal year (ending 30 September) and is one of the ten largest semiconductor companies worldwide.

Infineon is listed on the Frankfurt Stock Exchange (ticker symbol: IFX) and in the USA on the over-the-counter market OTCQX International Premier (ticker symbol: IFNNY).

itemis AG is an independent IoT-software and IT consulting company for the development of smart products and services. It offers their customers from a wide range of industries individual solutions for enterprise applications as well as software tools for the development of embedded systems to generally simplify digitization and accelerate the go-to-market of their customers. In doing so, itemis closes the gap between product and software development with its portfolio:

This portfolio consists of the following unique IoT solutions familiy, YAKINDU with ist solutions Security Analyst, Traceability, and Statechart Tools. Other pillars of the itemis offerings are IoT-solutions engineering, cloud and enterprise consulting for efficient software development projects, and advanced system engineering.

Klika Tech is a global IoT and cloud-native product and solutions development company headquartered in the U.S. with operations and offices across North America, Europe and Asia. We co-create end-to-end hardware, embedded, and cloud solutions for a range of industries including smart home / building / city platforms, connected healthcare, smart retail, connected agriculture, asset tracking and logistics, automotive / smart mobility, and edge to cloud integrations. Klika Tech is an Advanced Consulting and IoT Competency Partner in the AWS Partner Network (APN) with AWS Service Delivery designations for AWS IoT Core Services, AWS IoT Greengrass, Amazon API Gateway, AWS CloudFormation, and AWS Lambda. For more information visit www.klika-tech.com

Based in Menlo Park, CA, Latent AI, Inc. is an early-stage venture spinout of SRI International, dedicated to building solutions that enable the adaptive edge to transform AI processing. Latent AI is funded by Steve Jurvetson, from Future Ventures and Autotech Ventures, with support from Fortune 500 clients. The Latent AI Efficient Inference Platform (LEIP™) brings AI to the edge by optimizing for compute, energy, and memory without requiring changes to existing AI/ML infrastructure and frameworks. The company is founded by Jags Kandasamy and Sek Chai. They bring decades of combined industry experience and R&D expertise in machine learning AI (lifelong learning), computer vision, embedded systems, IoT applications, and efficient computing.

Lattice Semiconductor (NASDAQ: LSCC) is the low power programmable leader. We solve customer problems across the network, from the Edge to the Cloud, in the growing communications, computing, industrial, automotive and consumer markets. Our technology, relationships, and commitment to support lets our customers unleash their innovation to create a smart, secure and connected world.

Maxim Integrated, now part of Analog Devices, creates solutions to help engineers deliver smarter products. You may know us for power management, security, or interface products, but did you know that we also introduced an AI-at-the-edge processor? The MAX78000 includes a CNN accelerator to run inferences at the edge to support high-speed and low-power applications. Our AI solutions enable vision for small battery devices and are ready to change the game and cut AI’s power cord.

Neuton’s SaaS based zero code AutoML solution enables the non-Data Scientist and Data Scientist alike to build tiny and explainable models without compromising accuracy.

Our patented Neural Network Framework automatically builds models neuron by neuron creating neural network structures optimized for size and accuracy in a single iteration.

See how Neuton’s compact models (0.26 to 7.5 kB) benchmark against large models (typically 20 kB to 1.5 MB) from other leading neural network frameworks and non-neural algorithms. And to learn about our framework, click here.

Neuton’s models can be embedded into microcontrollers and other small devices, with device limits as challenging as the following characteristics:

  • Energy – 10s-100s mAh
  • Processor < 100 MHz
  • Memory < 100 Kb

With Neuton, TinyML becomes available to the non-Data Scientists and Data Scientist alike by providing the following:

  • SaaS, no-code AutoML solution
  • Build your tiny model online, without coding nor Machine Learning experience
  • Examine the most important statistics in your training data in the context of a single variable, overall data, interconnections, and essential features in relation to the target variable in the dataset
  • Understand and explain predictions with Neuton’s Explainability Office
  • Explore “what if” scenarios for your model
  • Analyze your model quality

The ability to create explainable models automatically for microcontrollers and edge devices without any coding or Machine Learning knowledge – Neuton opens possibilities for smart devices to do complex and powerful computing on the edge.

Build Fast. Build Once. Never Compromise.

Nota is a tech startup with a focus on optimizing AI models with its main platform, NetsPresso (https://www.netspresso.ai/), and develops diverse edge AI solutions including an intelligent transportation system and a low-powered driver monitoring system.
Nota’s NetsPresso is a proprietary hardware-aware AI model optimization platform that automates the development process for lightweight computer vision AI models. NetsPresso significantly reduces the time and resources that are required to develop an AI model and optimizes the model for target hardware to enable deployment in production. NetsPresso consists of the following modules: Model Search, Compression Toolkit, and Model Packaging.
Nota is an NVIDIA Inception Premier Member and Arm AI Ecosystem partner.

NXP Semiconductors N.V. (NASDAQ: NXPI) enables secure connections for a smarter world, advancing solutions that make lives easier, better, and safer. As the world leader in secure connectivity solutions for embedded applications, NXP is driving innovation in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 29,000 employees in more than 30 countries and posted revenue of $8.61 billion in 2020. Find out more at NXP Semiconductors.

Sponsor Placeholder

An early stage of spin-off from MIT, OmniML is co-founded by MIT EECS professor Song Han and a team of world-leading experts on creating efficient deep learning models for edge devices. Well-funded by industry-leading investors, OmniML is passionate to bridge the huge gap between AI applications and diverse edge devices by building an automatic machine learning operating platform which is equipped with the best hardware-aware AutoML technology.

PixArt Imaging specializes in the design of low power CMOS imaging sensing technology, and offer a broad selection of sensor products to support today’s complex needs for low power visual needs. PixArt’s core technology utilizes CMOS image sensor as the visual means for image analytics, and allow complex tasks to be performed on integrated SoCs. With our ability to provide end-to-end solutions, proprietary algorithms and specialized IC/camera packaging, PixArt is able to fulfill a comprehensive list of projects and application that requires a complete camera solution.

Plumerai is making deep learning tiny and radically more efficient to enable inference on small, cheap and low-power hardware. Our technology powers camera doorbells, security cameras, smart buildings, and makes it possible to embed intelligent, battery-powered sensors everywhere. Our people detection AI consistently proves to be the most accurate for edge devices while consuming minimal resources. Our inference engine for Arm Cortex-M is the fastest and smallest in the world.

Production-worthy embedded AI requires a relentless focus on the full AI stack, from collecting and curating data, to training algorithms, model architectures, inference engines, and hardware optimizations. We have published state-of-the-art research on Binarized Neural Networks at conferences such as NeurIPS and MLSys. Our team is backed by world-class investors with strong backgrounds in deep learning and with track records of founding multi-billion dollar companies. We have offices in London, Amsterdam and Warsaw.

Prophesee is the inventor of the world’s most advanced neuromorphic vision systems.

The company developed a breakthrough Event-Based Vision approach to machine vision. This new vision category allows for significant reductions of power, latency, and data processing requirements to reveal what was invisible to traditional frame-based sensors until now. Prophesee’s patented Metavision® sensors and algorithms mimic how the human eye and brain work to dramatically improve efficiency in areas such as autonomous vehicles, industrial automation, IoT, mobile, and AR/VR. Prophesee is based in Paris, with local offices in Grenoble, Shanghai, Tokyo, and Silicon Valley.

The company is driven by a team of more than 100 visionary engineers, holds more than 50 international patents, and is backed by leading international equity and corporate investors including 360 Capital Partners, European Investment Bank, iBionext, Inno-Chip, Intel Capital, Renault Group, Robert Bosch Venture Capital, Sinovation, Supernova Invest, Xiaomi.

Learn more: www.prophesee.ai.

Qeexo automates end-to-end machine learning model development for edge devices (e.g. Cortex M0-M4 class MCUs). Its Qeexo AutoML platform allows users to collect, clean, and visualize sensor data to automatically build machine learning models using various algorithms. Solutions built with Qeexo AutoML enable ultra-low latency, ultra-low power consumption, and small-memory-footprint applications which can even run on a Cortex-M0+!

Qeexo AutoML supports machine learning engineering from prototype to production for applications in industrial, IoT, wearables, automotive, mobile, and more.

In addition to launching Qeexo AutoML last June, Qeexo provides machine learning, signal processing, sensor fusion, and embedded computing solutions. Since 2012, Qeexo has commercialized multiple machine learning applications with the world’s leading device manufacturers. Globally, over 400 million devices are equipped with machine learning solutions built by Qeexo.

AI is transforming everything. We are making AI ubiquitous.

Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous—expanding beyond mobile and powering other end devices, machines, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.

Rackner is a consultancy that applies AI and DevSecOps approaches to problem spaces across the public and private sectors. We build solutions which span from the data center, to public cloud, to various flavors and sizes of edge compute, from mini datacenters to microprocessors and embedded.  We work with institutions like the Department of Defense and United States Air Force as well as Fortune 100 companies, startups, and technology partners advancing the future of compute. We are currently focused on applying TinyML and nascent tooling like WebAssembly to the edge and embedded worlds, in addition to container based approaches using Kubernetes and other CNCF-ecosystem technologies.

Reality AI’s product development environment is designed for Edge AI / Tiny ML using sensors. Tools that generate TinyML models without code have become commonplace, but there is much more that machine learning can do for your product. We offer AI-driven technology to help select the best instrumentation, components, and placement options- and to build, optimize and deploy ML models in your product’s firmware. Pre-built Edge AI sensing modules are available or our Reality AI Tools® platform allows you to build your own solution. Whether you are looking for a way to make vehicles safer, detect anomalies, predict maintenance needs, or any other sensor-based use case, we have you covered from data readiness to real-world deployment.

Reexen is a rising leader in the field of on-device edge computing for consumer and industrial markets, especially in use cases that need low power and high energy efficiency. Reexen’s core expertise includes analog/mixed-signal and digital ASIC design, signal processing, and deep learning algorithms, as well as development of high-end AIoTs applications.

The mixed-signal computing chips solve problems of latency and high energy consumption in A/D conversion and data-intensive DSP by directly processing the sensory signals in real-time in analog representation as well as by processing the data in memory blocks with mixed-signal circuitry breaking the “memory wall” bottleneck in conventional Von Neumann Architectures. Moreover, the processing precision of our chips can be adjusted and customized for different application scenarios, such as voice detection and recognition, visual detection and recognition etc., which is an important technological breakthrough suitable for future passive/battery-powered wireless AIoTs.

Renesas Electronics delivers trusted embedded design innovation with complete semiconductor solutions that enable billions of connected, intelligent devices to enhance the way people work and live. A global leader in microcontrollers, analog, power, and SoC products, Renesas provides comprehensive solutions for a broad range of automotive, industrial, infrastructure, and IoT applications that help shape a limitless future.

Seeed is the IoT hardware enabler providing products and services that empower millions of global developers to swiftly realize their products and scale up their innovations. By partnering with technology providers from hardware to the cloud, Seeed offers a wide array of ready-to-deploy devices that are highly compatible with TinyML framework and ready to be integrated with existing development platforms for machine learning on edge devices.

 

SensiML pioneered software tools for the development of TinyML code for IoT sensor applications. SensiML Analytics Toolkit automates AI and code generation and addresses one of the most common causes of failure in AI projects by supporting data collection and labeling. SensiML provides an end-to-end AI development platform from point-and-click UI model creation to control of the model build and test workflow. With provided examples spanning applications from agricultural machine monitoring to consumer IoT wake word detection, SensiML enables developers to build production-grade smart sensor devices.

Silicon Labs provides silicon, software and solutions for a smarter, more connected world. Our technologies are shaping the future of the Internet of Things, Internet infrastructure, industrial automation, consumer and automotive markets. Our engineering team creates products focused on performance, energy savings, connectivity, and simplicity.

Sony Semiconductor Solutions Corporation is a wholly-owned subsidiary of Sony Group Corporation and the global leader in image sensors. We strive to provide advanced imaging technologies that bring greater convenience and joy to people’s lives. In addition, we also work to develop and bring to market new kinds of sensing technologies with the aim of offering various solutions that will take the visual and recognition capabilities of both human and machines to greater heights.

Visit us at: https://www.sony-semicon.co.jp/e/

View our Corporate slogan “Sense the Wonder”: https://www.sony-semicon.co.jp/e/company/vision

At ST, we are 46,000 creators and makers of semiconductor technologies mastering the semiconductor supply chain with state-of-the-art manufacturing facilities. An independent device manufacturer, we work with more than 100,000 customers and thousands of partners to design and build products, solutions, and ecosystems that address their challenges and opportunities, and the need to support a more sustainable world. Our technologies enable smarter mobility, more efficient power and energy management, and the wide-scale deployment of the Internet of Things and 5G technology. Further information can be found at www.st.com.

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Synaptics (Nasdaq: SYNA) is changing the way humans engage with connected devices and data, engineering exceptional experiences throughout the home, at work, in the car, and on the go. Synaptics is the partner of choice for the world’s most innovative intelligent system providers who are integrating multiple experiential technologies into platforms that make our digital lives more productive, insightful, secure, and enjoyable. These customers combine Synaptics’ differentiated technologies in touch, display, and biometrics with a new generation of advanced connectivity and AI-enhanced video, vision, audio, speech, and security processing. Follow Synaptics on LinkedIn, Twitter, and Facebook, or visit synaptics.com.

SynSense builds sensing and inference hardware for ultra-low-power (sub-mW) embedded, mobile and edge devices. We design systems for real-time always-on smart sensing, for audio, vision, bio-signals, and more.

Syntiant Corp. is a provider of tinyML solutions making edge AI a reality for always-on applications in battery-powered devices. The company’s award-winning Neural Decision ProcessorsTM (NDP) bring a highly accurate, ultra-low-power AI interface to always-on image, voice, audio and sensor applications across a wide range of consumer and industrial use cases, including earbuds, wearables, medical devices, mobile phones, laptops, smart home, smart appliances, industrial IoT and automobiles. Its Syntiant® NDP120 processor has been named  “Best Product of the Year” by the tinyML Foundation.

Syntiant’s Core architecture enables machine learning workloads normally run on high-powered application processors or on cloud servers to be performed in the low-power, always-on domain. Designed by applying a co-design hardware/software methodology, Syntiant’s purpose-built devices offer 100x efficiency improvement while providing a 10x increase in throughput compared to current low-power MCU solutions, enabling larger neural networks at significantly lower power. 

Tensil makes machine learning accelerators that can scale up and down to meet the requirements of any application. When you upload an application to Tensil, we kick off a search across a huge range of accelerators to find out which one is best for you and then help you get it running on a field-programmable gate array (FPGA). You get the best possible performance on a hardware platform that meets all your requirements, and you get it instantly. Plus, you don’t have to make any changes to your application to benefit. We provide solutions for edge applications in areas like Smart Home, Smart City, or Smart Transportation, as well as solutions for cloud and on-prem applications. We’re backed by notable investors such as Ycombinator to pursue the goal of enabling machine learning inference everywhere. Visit https://explorer.tensil.ai to try out our products and learn more.

TensorFlow is an end-to-end open-source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

XMOS was formed in 2005, when a small team assembled to create a fast and flexible microcontroller that would enable designers to respond quickly to diversifying market demand. The first (XS1) and second (xcore-200) generation processors combined software-based I/O capability with digital signal processing (DSP) and control processing. Thus establishing the XMOS reputation in the audio sector.

The company vision then shifted towards AI. Caught between two very different technical and commercial models, Graphcore was formed to focus on server-side AI while XMOS continued the quest towards embedded intelligence (edge-AI). Most recently, XMOS enabled voice applications to become mainstream by releasing the XVF3510 providing a far-field 2-microphone voice interface. This was followed up with the xcore.ai processor for the AIoT that integrates AI, DSP, control, and I/O.

A deep tech company at the leading edge of the intelligent IoT, XMOS addresses the evolving market need for flexible compute to serve an ever-widening range of smart things including voice, imaging, and ambient sensing.

The company’s uniquely flexible xcore processors allow product designers to architect system-on-chip solutions purely in software, enabling faster time to market with differentiated systems that are cost-effective and energy efficient.