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.
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.
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.
The Edge Impulse development platform for embedded machine learning is used by over 1,000 enterprises across 10,000 ML projects worldwide. We are on a mission to enable the ultimate development experience for machine learning on embedded devices for sensors, audio, and computer vision, at scale. We enable the deployment of highly optimized ML on hardware ranging from MCUs to CPUs.
With Edge Impulse, developers, engineers, and domain experts solve problems using machine learning in embedded solutions. We specialize in industrial and professional applications including 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.
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.
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.
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.
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.
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 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. Maxim’s AI solutions enable vision for small battery devices and are ready to change the game and cut AI’s power cord.
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.
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.
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.
Syntiant Corp. is moving artificial intelligence and machine learning from the cloud to edge devices. Syntiant’s chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. These network processors enable always-on applications in battery-powered devices, such as smartphones, smart speakers, earbuds, hearing aids, and laptops. Syntiant’s Neural Decision ProcessorsTM offer wake word, command word, and event detection in a chip for always-on voice and sensor applications.
Founded in 2017 and headquartered in Irvine, California, the company is backed by Amazon, Applied Materials, Atlantic Bridge Capital, Bosch, Intel Capital, Microsoft, Motorola, and others. Syntiant was recently named a CES® 2021 Best of Innovation Awards Honoree, \shipped over 10M units worldwide, and unveiled the NDP120 part of the NDP10x family of inference engines for low-power 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.