#embedUR systems

[news365timesindia]

[ad_1] embedUR systems, a leader in embedded systems and Edge AI innovation, has announced its participation at Embedded World 2025, set to take place from March 11-13, 2025, in Nuremberg, Germany.    At the event, embedUR systems will unveil more of its industry-leading Edge AI solutions, designed to deliver high performance on energy-efficient edge AI chips tailored for a variety of use cases. The demos highlight the benefits of using ModelNova, an advanced resource hub for accelerating AI development at the edge.   Pioneering AI on the latest Edge AI chips embedUR systems is partnered with leading AI silicon vendors, including Synaptics, STMicroelectronics, Silicon Labs, NXP, and Infineon. At Embedded World 2025, embedUR will showcase the following live Edge AI demonstrations running across a selection of its partners’ AI-native silicon platforms:   Image Segmentation: Advanced image segmentation for real-time applications in industries such as automotive, agriculture, and infrastructure. Facial Recognition: High-precision, private, on-device or centrally managed systems enabling secure authentication for enterprises, public venues, and smart environments. Audio Denoising: AI-driven solutions for eliminating background noise in smart devices and industrial applications. UWB Motion & Gesture Sensing: AI-powered motion sensing for intuitive, touch-free interactions in automotive, consumer electronics, and industrial automation. Wake Word & Object Detection for Smart Appliances: Wake Word to start recipe processing and object detection for ingredient identification to enhance smart kitchen and retail appliances.   Each demonstration highlights the company's expertise in optimizing Edge AI performance on leading chipsets and platforms. By leveraging AI-enabled silicon from top providers, embedUR systems demonstrates their ability to integrate complex AI workloads seamlessly on energy-efficient AI chips from different vendors and showcasing their unmatched expertise and versatility in the field of Edge AI.   Each demo will be featured at embedUR’s booth (Hall 4A-601) and at the respective partner’s booth as well. In all, embedUR and its partners will have more than a dozen state-of-the-art Edge AI showcases spread around the show.   Introducing ModelNova: Accelerating AI Development at the Edge A centerpiece of embedUR systems' exhibit at EW 2025 will be ModelNova, an advanced resource hub designed to eliminate barriers to Edge AI prototyping and deployment.   Key features of the platform include:   Pre-trained AI Models: A robust library of over 50 models, optimized for small, power-efficient devices and ready for deployment. Datasets: Curated datasets which can be used by developers to retrain and refine AI models for novel edge use cases. Blueprints: Detailed roadmaps and resources offering developers a streamlined path from concept to prototype.   With ModelNova, developers can download a pre-trained model, such as an object detection model, integrate it into their application, and run it on a Raspberry Pi or AI silicon from one of embedUR’s many semiconductor partners. This enables rapid proof-of-concept validation without the need for extensive investments in time or resources. Once the concept is validated, embedUR systems can provide bespoke embedded Edge AI services to further train, customize, and deploy models to meet the unique requirements of any production-grade application or hardware platform.   ModelNova empowers developers to turn their ideas into reality, accelerating innovation and reducing the complexity of Edge AI development.   Proven Expertise Across Platforms embedUR systems’ demonstrations underscore the company's ability to optimize AI performance regardless of the underlying silicon, reinforcing its position as a trusted partner for companies seeking to integrate Edge AI capabilities. 

  By showcasing solutions on diverse AI-enabled platforms, the company demonstrates how its services unlock the full potential of advanced chipsets, empowering customers to achieve scalable, high-performance AI solutions tailored to their needs.   embedUR systems’ vision for ModelNova is to create the ultimate resource hub for accelerating AI development at the edge-a platform designed to simplify the journey from concept to deployment for developers worldwide.    Over the past year, the company has made significant strides toward this goal, expanding the platform’s offerings to include a robust library of pre-trained AI models, curated datasets, and blueprints for real-world use cases. This progress reflects embedUR systems’ commitment as an Edge AI Foundation (leadership partner status) to delivering impactful solutions to the Edge AI developer community and furthering innovation in the Edge AI space.   “Embedded World is a global hub for innovation, and embedUR systems is excited to be part of this event in 2025,” says Rajesh Subramaniam, CEO of embedUR systems. “With live demonstrations of our Edge AI capabilities and our ModelNova platform, we aim to inspire and connect with technology leaders seeking scalable, high-performance Edge AI technology for their products.”   Join embedUR systems at Embedded World 2025 Embedded World 2025 is the premier global event for embedded systems and IoT professionals. Attendees visiting embedUR systems' booth located at Hall 4 / Booth 4-601 will gain insights into the company’s pioneering work in Edge AI and the transformative potential of ModelNova.    This is a unique opportunity to witness firsthand how embedUR systems delivers scalable AI innovations across leading silicon platforms and helps businesses accelerate their journey to market.   For more information, visit embedur.ai and explore the ModelNova platform at modelnova.ai.   About embedUR systems embedUR systems is a Silicon Valley-based leader in embedded solutions, AI, and Edge Computing. For over two decades, the company has specialized in accelerating product development for leading telecom, network equipment, and silicon vendors. With expertise in AI/ML, IoT, and networking, embedUR systems powers millions of devices worldwide, enabling next-generation intelligent systems. Learn more at www.embedur.ai. !function(f,b,e,v,n,t,s) if(f.fbq)return;n=f.fbq=function()n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments); if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0'; n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0]; s.parentNode.insertBefore(t,s)(window,document,'script', 'https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '311356416665414'); fbq('track', 'PageView'); [ad_2] Source link

[news365times]

[ad_1] embedUR systems, a leader in embedded systems and Edge AI innovation, has announced its participation at Embedded World 2025, set to take place from March 11-13, 2025, in Nuremberg, Germany.    At the event, embedUR systems will unveil more of its industry-leading Edge AI solutions, designed to deliver high performance on energy-efficient edge AI chips tailored for a variety of use cases. The demos highlight the benefits of using ModelNova, an advanced resource hub for accelerating AI development at the edge.   Pioneering AI on the latest Edge AI chips embedUR systems is partnered with leading AI silicon vendors, including Synaptics, STMicroelectronics, Silicon Labs, NXP, and Infineon. At Embedded World 2025, embedUR will showcase the following live Edge AI demonstrations running across a selection of its partners’ AI-native silicon platforms:   Image Segmentation: Advanced image segmentation for real-time applications in industries such as automotive, agriculture, and infrastructure. Facial Recognition: High-precision, private, on-device or centrally managed systems enabling secure authentication for enterprises, public venues, and smart environments. Audio Denoising: AI-driven solutions for eliminating background noise in smart devices and industrial applications. UWB Motion & Gesture Sensing: AI-powered motion sensing for intuitive, touch-free interactions in automotive, consumer electronics, and industrial automation. Wake Word & Object Detection for Smart Appliances: Wake Word to start recipe processing and object detection for ingredient identification to enhance smart kitchen and retail appliances.   Each demonstration highlights the company's expertise in optimizing Edge AI performance on leading chipsets and platforms. By leveraging AI-enabled silicon from top providers, embedUR systems demonstrates their ability to integrate complex AI workloads seamlessly on energy-efficient AI chips from different vendors and showcasing their unmatched expertise and versatility in the field of Edge AI.   Each demo will be featured at embedUR’s booth (Hall 4A-601) and at the respective partner’s booth as well. In all, embedUR and its partners will have more than a dozen state-of-the-art Edge AI showcases spread around the show.   Introducing ModelNova: Accelerating AI Development at the Edge A centerpiece of embedUR systems' exhibit at EW 2025 will be ModelNova, an advanced resource hub designed to eliminate barriers to Edge AI prototyping and deployment.   Key features of the platform include:   Pre-trained AI Models: A robust library of over 50 models, optimized for small, power-efficient devices and ready for deployment. Datasets: Curated datasets which can be used by developers to retrain and refine AI models for novel edge use cases. Blueprints: Detailed roadmaps and resources offering developers a streamlined path from concept to prototype.   With ModelNova, developers can download a pre-trained model, such as an object detection model, integrate it into their application, and run it on a Raspberry Pi or AI silicon from one of embedUR’s many semiconductor partners. This enables rapid proof-of-concept validation without the need for extensive investments in time or resources. Once the concept is validated, embedUR systems can provide bespoke embedded Edge AI services to further train, customize, and deploy models to meet the unique requirements of any production-grade application or hardware platform.   ModelNova empowers developers to turn their ideas into reality, accelerating innovation and reducing the complexity of Edge AI development.   Proven Expertise Across Platforms embedUR systems’ demonstrations underscore the company's ability to optimize AI performance regardless of the underlying silicon, reinforcing its position as a trusted partner for companies seeking to integrate Edge AI capabilities. 

  By showcasing solutions on diverse AI-enabled platforms, the company demonstrates how its services unlock the full potential of advanced chipsets, empowering customers to achieve scalable, high-performance AI solutions tailored to their needs.   embedUR systems’ vision for ModelNova is to create the ultimate resource hub for accelerating AI development at the edge-a platform designed to simplify the journey from concept to deployment for developers worldwide.    Over the past year, the company has made significant strides toward this goal, expanding the platform’s offerings to include a robust library of pre-trained AI models, curated datasets, and blueprints for real-world use cases. This progress reflects embedUR systems’ commitment as an Edge AI Foundation (leadership partner status) to delivering impactful solutions to the Edge AI developer community and furthering innovation in the Edge AI space.   “Embedded World is a global hub for innovation, and embedUR systems is excited to be part of this event in 2025,” says Rajesh Subramaniam, CEO of embedUR systems. “With live demonstrations of our Edge AI capabilities and our ModelNova platform, we aim to inspire and connect with technology leaders seeking scalable, high-performance Edge AI technology for their products.”   Join embedUR systems at Embedded World 2025 Embedded World 2025 is the premier global event for embedded systems and IoT professionals. Attendees visiting embedUR systems' booth located at Hall 4 / Booth 4-601 will gain insights into the company’s pioneering work in Edge AI and the transformative potential of ModelNova.    This is a unique opportunity to witness firsthand how embedUR systems delivers scalable AI innovations across leading silicon platforms and helps businesses accelerate their journey to market.   For more information, visit embedur.ai and explore the ModelNova platform at modelnova.ai.   About embedUR systems embedUR systems is a Silicon Valley-based leader in embedded solutions, AI, and Edge Computing. For over two decades, the company has specialized in accelerating product development for leading telecom, network equipment, and silicon vendors. With expertise in AI/ML, IoT, and networking, embedUR systems powers millions of devices worldwide, enabling next-generation intelligent systems. Learn more at www.embedur.ai. !function(f,b,e,v,n,t,s) if(f.fbq)return;n=f.fbq=function()n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments); if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0'; n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0]; s.parentNode.insertBefore(t,s)(window,document,'script', 'https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '311356416665414'); fbq('track', 'PageView'); [ad_2] Source link

[offcampusjobs4u]

embedUR systems Hiring Freshers For Software Engineer Position- BE/BTech

embedUR systems Hiring Freshers For Software Engineer Position- BE/BTech

embedUR systems Hiring Freshers Details: About Company: embedUR systems is a Product and Product Engineering Services Company, fast growing leader in Wireless Networking (WiFi), based in the heart of Silicon Valley, USA. Company Name: EMBEDUR SYSTEMS (INDIA) PRIVATE LIMITED Experience Required: 0 – 1 years CTC: ₹ 5,00,000 P.A. Work Location: Chennai What we look for?  Engineering graduates 2020…

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EmbedUR Off Campus Recruitment Drive | 2021 Batch

EmbedUR Off Campus Recruitment Drive | 2021 Batch

EmbedUR Systems has invited online applications for the post of Software Engineer In Chennai. Candidates from 2021 Batch in BE/BTech are eligible for this role. For more details for eligibility criteria, selection process, apply link read below. EmbedUR Systems Off Campus 2021 Company Name EmbedUR Systems Job Role Software Engineer Qualification BE/ BTech Job Location Chennai Salary ₹ 5…

[news365timesindia]

[ad_1] embedUR systems, a leader in embedded solutions and Edge AI technologies, is proud to join STMicroelectronics’ Authorized Partner program.     By leveraging ST's hardware and software ecosystem, embedUR systems has developed three advanced Edge AI applications for the STM32N6 platform. These applications demonstrate the transformative potential of AI on efficient, compact hardware across diverse industries.   Through this collaboration, embedUR systems not only optimized AI models but also developed, trained, and integrated them to run on ST’s latest STM32N6 microcontrollers complete with the embedded software stack needed for productization. By leveraging deep expertise in STMicroelectronics’ platforms, embedUR is enabling innovative Edge AI applications that pave the way for transformative industry solutions.   Edge AI Solutions People Detection with Image Segmentation embedUR delivers a state-of-the-art Image Segmentation solution for high-speed detection and classification of individuals. This functionality is well-suited for applications such as occupancy counting, presence detection, crowd management, person following and more. This capability combines: Adaptation of YOLACT for Neural-ART Accelerator™, the STM32N6’s Neural Processing Unit (NPU): supporting real-time instance segmentation, YOLACT has been optimized for the STM32N6 hardware, ensuring low latency and robust performance. Proprietary optimization techniques: embedUR’s advanced quantization strategies shrink model size by nearly 75% while maximizing speed and accuracy, making it ideal for resource-constrained devices. Enhanced image quality through STM32N6’s Image Signal Processor (ISP): this integration ensures reliable performance across varying lighting conditions and enables the solution to run at 71 FPS.   Facial Recognition with Enrollment embedUR’s on-device facial recognition solution combines security and high-speed processing, making it ideally suited to biometric boarding at airports or keyless entry systems, which require stringent standards of security, privacy and performance.   Features include: embedUR’s UReyeD framework: Enables precise facial detection, keypoint extraction, and embedding generation for fast, accurate recognition. Direct on-device enrollment: Eliminating the need for external infrastructure, this feature enhances privacy and simplifies deployment. Support for large-scale databases with rapid identification: Designed for environments with high user throughput, such as access control and public safety.   Audio Denoising embedUR systems has also created an audio denoising solution that runs on STM32N6’s Neural-ART Accelerator (NPU). It incorporates the excellent audio capabilities of the STM32N6 platform with a state-of-the-art audio denoising model to deliver clear speech, even in noisy environments.  As systems add speech to text to feed LLMs, denoising will be increasingly used to ensure that LLMs are fed with the most accurate transcription.   Notable characteristics: embedUR chose an award-winning audio denoising model designed to run on GPUs and then adapted and optimized this for the NPU on the STN32N6. Running the model on the STM32N6 NPU reduces power consumption, increases accuracy, and removes latency needed to make the audio solution work in a variety of high demand and low power environments   Driving Innovation in Edge AI “This collaboration with STMicroelectronics is a testament to our engineering excellence and ability to bring up AI solutions rapidly and independently on literally any Edge platform (CPU/GPU/NPU),” said Rajesh Subramaniam, CEO of embedUR systems. “We’re proud to demonstrate how efficient, high-performance AI solutions can be realized on the STM32N6 microcontroller, and the myriad applications they can enable.” "embedUR systems has demonstrated

expertise in creating AI technology and optimizing it for our STM32N6 microcontroller, with minimal support required from our engineering teams. Their experience, creativity and efficiency are extraordinary. In a few short weeks, they have been able to demonstrate the incredible potential of edge AI on STMicroelectronics’ components to drive transformative AI solutions across industries." said Miguel Castro, head of AI strategy & business dev for Americas at STMicroelectronics. “We are pleased to announce that embedUR is a new ST Authorized Partner.”   embedUR systems invites businesses to explore how its expertise and solutions can enable the next generation of Edge AI applications. To learn more, visit www.embedur.ai.   About embedUR systems embedUR systems is a Silicon Valley-based leader in embedded systems, AI, and Edge Computing. With over two decades of expertise and a proven track record of accelerating product time-to-market for telecom, network equipment, and silicon vendors, embedUR delivers cutting-edge embedded solutions powering millions of devices worldwide. Its ModelNova platform offers pre-trained AI models for seamless integration into intelligent edge systems, enabling AI enthusiasts and afficionados alike to experiment with AI and easily develop proof of concepts with little to no AI modeling expertise, in record time. Browse pre-trained Edge AI models today at modelnova.ai. !function(f,b,e,v,n,t,s) if(f.fbq)return;n=f.fbq=function()n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments); if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0'; n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0]; s.parentNode.insertBefore(t,s)(window,document,'script', 'https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '311356416665414'); fbq('track', 'PageView'); [ad_2] Source link

[news365times]

[ad_1] embedUR systems, a leader in embedded solutions and Edge AI technologies, is proud to join STMicroelectronics’ Authorized Partner program.     By leveraging ST's hardware and software ecosystem, embedUR systems has developed three advanced Edge AI applications for the STM32N6 platform. These applications demonstrate the transformative potential of AI on efficient, compact hardware across diverse industries.   Through this collaboration, embedUR systems not only optimized AI models but also developed, trained, and integrated them to run on ST’s latest STM32N6 microcontrollers complete with the embedded software stack needed for productization. By leveraging deep expertise in STMicroelectronics’ platforms, embedUR is enabling innovative Edge AI applications that pave the way for transformative industry solutions.   Edge AI Solutions People Detection with Image Segmentation embedUR delivers a state-of-the-art Image Segmentation solution for high-speed detection and classification of individuals. This functionality is well-suited for applications such as occupancy counting, presence detection, crowd management, person following and more. This capability combines: Adaptation of YOLACT for Neural-ART Accelerator™, the STM32N6’s Neural Processing Unit (NPU): supporting real-time instance segmentation, YOLACT has been optimized for the STM32N6 hardware, ensuring low latency and robust performance. Proprietary optimization techniques: embedUR’s advanced quantization strategies shrink model size by nearly 75% while maximizing speed and accuracy, making it ideal for resource-constrained devices. Enhanced image quality through STM32N6’s Image Signal Processor (ISP): this integration ensures reliable performance across varying lighting conditions and enables the solution to run at 71 FPS.   Facial Recognition with Enrollment embedUR’s on-device facial recognition solution combines security and high-speed processing, making it ideally suited to biometric boarding at airports or keyless entry systems, which require stringent standards of security, privacy and performance.   Features include: embedUR’s UReyeD framework: Enables precise facial detection, keypoint extraction, and embedding generation for fast, accurate recognition. Direct on-device enrollment: Eliminating the need for external infrastructure, this feature enhances privacy and simplifies deployment. Support for large-scale databases with rapid identification: Designed for environments with high user throughput, such as access control and public safety.   Audio Denoising embedUR systems has also created an audio denoising solution that runs on STM32N6’s Neural-ART Accelerator (NPU). It incorporates the excellent audio capabilities of the STM32N6 platform with a state-of-the-art audio denoising model to deliver clear speech, even in noisy environments.  As systems add speech to text to feed LLMs, denoising will be increasingly used to ensure that LLMs are fed with the most accurate transcription.   Notable characteristics: embedUR chose an award-winning audio denoising model designed to run on GPUs and then adapted and optimized this for the NPU on the STN32N6. Running the model on the STM32N6 NPU reduces power consumption, increases accuracy, and removes latency needed to make the audio solution work in a variety of high demand and low power environments   Driving Innovation in Edge AI “This collaboration with STMicroelectronics is a testament to our engineering excellence and ability to bring up AI solutions rapidly and independently on literally any Edge platform (CPU/GPU/NPU),” said Rajesh Subramaniam, CEO of embedUR systems. “We’re proud to demonstrate how efficient, high-performance AI solutions can be realized on the STM32N6 microcontroller, and the myriad applications they can enable.” "embedUR systems has demonstrated

expertise in creating AI technology and optimizing it for our STM32N6 microcontroller, with minimal support required from our engineering teams. Their experience, creativity and efficiency are extraordinary. In a few short weeks, they have been able to demonstrate the incredible potential of edge AI on STMicroelectronics’ components to drive transformative AI solutions across industries." said Miguel Castro, head of AI strategy & business dev for Americas at STMicroelectronics. “We are pleased to announce that embedUR is a new ST Authorized Partner.”   embedUR systems invites businesses to explore how its expertise and solutions can enable the next generation of Edge AI applications. To learn more, visit www.embedur.ai.   About embedUR systems embedUR systems is a Silicon Valley-based leader in embedded systems, AI, and Edge Computing. With over two decades of expertise and a proven track record of accelerating product time-to-market for telecom, network equipment, and silicon vendors, embedUR delivers cutting-edge embedded solutions powering millions of devices worldwide. Its ModelNova platform offers pre-trained AI models for seamless integration into intelligent edge systems, enabling AI enthusiasts and afficionados alike to experiment with AI and easily develop proof of concepts with little to no AI modeling expertise, in record time. Browse pre-trained Edge AI models today at modelnova.ai. !function(f,b,e,v,n,t,s) if(f.fbq)return;n=f.fbq=function()n.callMethod? n.callMethod.apply(n,arguments):n.queue.push(arguments); if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0'; n.queue=[];t=b.createElement(e);t.async=!0; t.src=v;s=b.getElementsByTagName(e)[0]; s.parentNode.insertBefore(t,s)(window,document,'script', 'https://connect.facebook.net/en_US/fbevents.js'); fbq('init', '311356416665414'); fbq('track', 'PageView'); [ad_2] Source link