Delivering unprecedented performance to a diverse range of edge AI applications The new Hailo-8 Century and Hailo-8L AI accelerators extend the Hailo-8 offering with a wide-range of AI platforms to enable high performance AI in edge devices ranging from entry level to high-capacity deployments. TEL AVIV, Israel, August 3, 2023 – Hailo, the pioneering chipmaker […]
Hailo Expands Hailo-8 AI Accelerator Portfolio Read More +
David Bell, Product Marketing Director for Tensilica AI IP products at Cadence, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Bell demonstrates the vision and AI capabilities of Tensilica DSPs for industrial products, in the process also answering the question of whether a tomato is
Nandan Nayampally, Chief Marketing Officer and Head of Product at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Nayampally demonstrates the value propositions of BrainChip’s Akida platform. The Akida platform provides efficient AI edge processing, easily integrated fully digital IP, and a full stack
Nikunj Kotecha, Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kotecha demonstrates BrainChip’s brain-inspired Akida platform. With the Akida platform, AI applications are free from the tethers of the cloud and can learn independently. Whether recognizing faces in conventional webcam images
Monica Houston, Advanced Application Group AI/ML team manager at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Houston demonstrates Avnet’s Edge AI Kit, which provides stereo vision capabilities that help ensure facial recognition is accurate and secure, in action. Houston also explains what’s included
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The revenue growth of the microcontroller market is defying the declines seen in the semiconductor industry. MCU Market Revenues moving beyond pandemic effects, but inflation remains a concern for 2023. Close competition
The Microcontroller Market: Shifting Trends and Price Surges Read More +
Laguna Hills, Calif. – August 1, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced that the University of Virginia has joined the BrainChip University AI Accelerator Program, ensuring that UVA students have the tools and resources
University of Virginia Joins the BrainChip University AI Accelerator Program Read More +
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The CPU and GPU markets have experienced a decline in consumer demand, while the progress of AI innovation and chiplet integration continues to advance. Consumer electronics demand faces challenges due to macro-economic
The Processor Industry: Pioneering the Future of Semiconductor Technology Read More +
News highlights: AiM Future secures multi-million dollars in new Series A funding. Round led by L&S Venture Capital, Hi Investment Partners, Daedeok Venture Partners and existing investors KB Investments and WE Ventures. New funds to help scale engineering and go-to-market teams in South Korea and the United States. Product will be available for purchase from
AiM Future Successfully Closes Series A Round of Investment Read More +
Evan Stoddard, Advanced Applications Group Embedded Software Engineer at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Stoddard demonstrates Avnet’s RZ board for energy-efficient AI acceleration, featuring the Renesas RZ/V2L processor. In the demo, various AI/ML models are executed on the energy-efficient DRP-AI accelerator
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