This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. On-device AI processing offers must-have benefits for privacy, performance, personalization, cost, and energy In the mid-’90s, the World Wide Web ushered in the era of massive remote data center computing now known as the cloud. And this […]
5 Benefits of On-device Generative AI Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. We did the math: And here’s the cost of today’s AI Big Bang As indicated in our whitepaper, The Future of AI is Hybrid (part 1): Unlocking the generative AI future with on-device and hybrid AI, a
Generative AI Trends by the Numbers: Costs, Resources, Parameters and More Read More +
This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. The integration of ML into IoT is sparking exponential growth and shaping a dynamic ecosystem The pace of Internet of Things (IoT) innovation has quickened in recent years, but it’s now being kicked into hyper drive. The
Machine Learning Transforms the Internet of Things Read More +
Young-Jun Yoo, Vice President of the Automotive Business Unit at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Yoo demonstrates using a RCCG filter array-based image sensor with APACHE_U, Nextchip’s newest image signal processor (ISP). APACHE_U is an 8 Mpixel ISP for ADAS cameras.
Young-Jun Yoo, Vice President of the Automotive Business Unit at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Yoo demonstrates the high dynamic range and sensitivity delivered by APACHE_U, Nextchip’s newest image signal processor (ISP). APACHE_U is an 8 Mpixel ISP for ADAS cameras.
Nextchip Demonstration of High Dynamic Range and Sensitivity On APACHE_U, Its Newest ISP Read More +
Intel is honored to join the PyTorch* Foundation as a Premier member, and we look forward to engaging with other industry leaders to collaborate on the open source PyTorch framework and ecosystem. We believe that PyTorch holds a pivotal place accelerating AI—it allows for fast application development to promote experimentation and innovation. Joining the PyTorch
Driving PyTorch* and AI Everywhere – Intel Joins the PyTorch Foundation Read More +
Patrick Bednarski, Software Engineer at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Bednarski demonstrates object classification running on Lattice Semiconductor’s Avant FPGAs. Avant is the latest family of mid-range FPGAs from Lattice Semiconductor, optimized for edge processing. In the demo, a video
Lattice Semiconductor Demonstration of Object Classification Running on Avant FPGAs Read More +
Patrick Bednarski, Software Engineer at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Bednarski demonstrates Lattice Semiconductor’s Glance software. Glance is powered by several computer vision algorithms, runs on Lattice Semiconductor FPGAs and SoCs, and targets smart edge devices. The AI-based computer vision
Lattice Semiconductor Demonstration of Its Glance Software Read More +
Shreedutt Hegde, Senior ML Hardware Engineer at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Hegde demonstrates a driver monitoring system (DMS). Driver monitoring systems are enabling safer cars and roads, and saving lives. Lattice Semiconductor has developed a state-of-the-art DMS system leveraging
Lattice Semiconductor Demonstration of an Advanced Driver Monitoring System Read More +
This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Despite significant improvements in throughput, edge AI accelerators (Neural Processing Units, or NPUs) are still often underutilized. Inefficient management of weights and activations leads to fewer available cores utilized for multiply-accumulate (MAC) operations. Edge AI applications frequently
A Packet-based Architecture For Edge AI Inference Read More +
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