Franklin Templeton and Temasek lead Blaize $71m Series D funding aimed at acceleration of AI Edge Computing and Automotive/EV product roadmap El DORADO HILLS, CA — July 27, 2021 — Blaize, the AI computing innovator revolutionizing edge and automotive computing solutions, today announced the close of a $71m Series D round of funding. Franklin Templeton, […]
Geneva, July 26, 2021 – STMicroelectronics has expanded the variety of machine-learning techniques available to users of the STM32Cube.AI development environment, giving extra flexibility to solve classification, clustering, and novelty-detection challenges as efficiently as possible. In addition to enabling development of neural networks for edge inference on STM32* microcontrollers (MCUs), the latest STM32Cube.AI release (version
Parag Beeraka, Head of the Smart Camera and Vision Business at Arm, presents the “Software-Defined Cameras for Edge Computing of the Future,” tutorial at the May 2021 Embedded Vision Summit. Computer-vision-enabled cameras have demonstrated the potential to bring compelling functionality to numerous applications. But to realize the full potential and assist with the growth of
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Felix Baum, Director of Product Management at Qualcomm, presents the “Hate It Or Love It, Your Neural Network Software Stack Defines Application Performance and Reach” tutorial at the May 2021 Embedded Vision Summit. Qualcomm has invested extensively in its state-of-the-art Qualcomm Neural Network and software stack, including the Qualcomm Neural Processing SDK and the AI
Megha Daga, Director of Product Management for AI Enablement at Qualcomm, presents the “Deploying Edge AI Solutions at Scale for the Internet of Things” tutorial at the May 2021 Embedded Vision Summit. There are many large-scale opportunities for edge AI solutions across a broad range of Internet of Things applications. But deploying the kinds of
MAXREFDES178# camera cube executes low latency AI vision and hearing inferences on a coin cell power budget with reduced cost and size SAN JOSE, Calif.—July 20, 2021—Today Maxim Integrated Products, Inc. (NASDAQ: MXIM) unveiled the MAXREFDES178# camera cube reference design, which demonstrates how Artificial intelligence (AI) applications previously limited to machines with large power and
Kishore Chakravadhanula, Staff Product Manager at Qualcomm, presents the “5G and AI Transforming the Next Generation of Robotics” tutorial at the May 2021 Embedded Vision Summit. Bringing together the transformative power of 5G and AI technologies is essential to driving the next generation of high-compute, low-power robots and drones for consumer, enterprise and industrial sectors.
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Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G” tutorial at the May 2021 Embedded Vision Summit. Every day, AI-enabled systems enhance how we live and work—and we’ve barely scratched the surface! These systems are poised to create new
Advances in Edge Computing Must Innovate for Autonomous Vehicles to Realize Their Potential Large numbers of sensors, massive amounts of data, ever-increasing computing power, real-time operation and security concerns required for autonomous vehicles are driving the core of computation from the cloud to the edge of the network. Autonomous vehicles are constantly sensing and sending
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Raymond Lo, OpenVINO Edge AI Software Evangelist at Intel, presents the “Fearless AI Challenge: Can You Quickly Deploy AI Inference to Billions of Devices?” tutorial at the May 2021 Embedded Vision Summit. Have you ever been inspired by a new AI research paper and tried to replicate it using open source code, only to end
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