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LinkedIn Live Webinar: The Rise of the DPUExplore the significant rise of DPUs and their impact on data center infrastructure, networking, and security. |
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LinkedIn Live Webinar: FPGA Accelerated AI Speech Recognition RevolutionDiscover the Future of Automatic Speech Recognition (ASR) with Achronix and Myrtle.ai. Moderated by EE Times' Sr. Reporter, Sally Ward-Foxton, speakers include Achronix FPGA-Powered ASR expert, and Julian Mack, Sr. Machine Learning Scientist at Myrtle.ai. |
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Revolutionize ADAS Radar Sensor Pre-processing by Unleashing Ultra-Low Latency with eFPGA TechnologyJoin our webinar to explore how radar sensor preprocessing can benefit from eFPGAs, reducing latency in data processing. We'll delve into the challenges posed by the growth of modern radar technology, increasing resolution, and the need for faster data transport and processing in ADAS applications. |
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FPGAs for Ultra Low Latency, Real-Time Streaming AI at the EdgeDiscover the future of ultra-low latency real-time streaming AI at the edge with Achronix! Join Bill Jenkins, Director of AI Product Marketing, as he unveils groundbreaking FPGA technology that eliminates bottlenecks, offers unmatched bandwidth, and reduces costs. Explore real-world applications like conversational AI with impressive word error rates and discover how FPGA outperforms CPUs and GPUs. |
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Unlock Flexible Acceleration for Automotive SoCs with eFPGA IPExplore automotive innovation as Pascal Ravillion, Senior Manager at Achronix, delves into eFPGA IPs' role in driving flexible acceleration for advanced automotive systems. Uncover market trends, strategic innovations, real-world examples, and the power of eFPGA technology. |
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Baird Video Webcast Series with AchronixTristan Gerra, Baird’s Senior Semiconductor Analyst, hosts Achronix CEO Robert Blake for an in-depth discussion on FPGAs and the AI landscape and opportunity. |
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LinkedIn Live Webinar: The Rise of the ChipletAlthough the idea of chiplets has existed for decades, chiplet-based packaging is driving new types of components, products, and systems for specialized applications. Some believe the future of chip innovation lies in moving to modular designs based on “chiplet” building blocks, essentially moving from system-on-chip (SoC) to System-on-Package (SoP) chip architectures. |
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Unlock the Full Potential of FPGAs for Real-Time ML Inference — Tune an Overlay to an ArchitectureAn FPGA can be a very attractive platform for many Machine Learning (ML) inference applications. In this presentation, using the example of automatic speech recognition (ASR), we will explore how FPGAs can be used to accelerate conversational AI and Natural Language Processing applications. |
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Enabling Technologies: Delivering a 6G WorldThere is no doubt that 6G will bring great changes to the world of connectivity, enabling revolutionary use cases. However, the road to getting there may be challenging. A new generation of networks is not built overnight, they are gradually upgraded in line with standards and specifications which will deliver greater speeds and connectivity. In the case of 6G, some commonly cited technological challenges include the openness of networks, aggregated network functions, and a lack of automation. |
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Hardware at the Edge: Selecting Optimal Technology for AI ApplicationsAs the software requirements evolve, engineers must also choose hardware technology that can adapt to rapidly evolving demands at the edge. They must also balance required performance, power, and cost targets. We evaluate four major hardware technologies - CPU, GPU, FPGA, and ASIC-based architectures. |
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