This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. To run neural networks efficiently at the edge on mobile, IoT, and other embedded devices, developers strive to optimize their machine learning (ML) models’ size and complexity while taking advantage of hardware acceleration for inference. For these …
This blog post was originally published at Lanner Electronics’ website. It is reprinted here with the permission of Lanner Electronics. In dense urban environments where traffic flow is heavy, keeping up with traffic control and maintaining road safety at intersections with the heaviest traffic is often tricky as vehicles and pedestrians’ behaviors are erratic and …
The LEC-2290: An Edge AI Appliance for Traffic Infraction Prevention Read More +
This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. Academic machine learning requires extensive toolsets for model training and evaluation, but the vast majority of academic work is more grounded in model capacity than looking at the energy cost of deploying those models. This puts modelers …
Modeling for the Edge: How Neural Network Modelers Should Evaluate Edge Compute Power Read More +
This blog post was originally published at Retrocausal’s website. It is reprinted here with the permission of Retrocausal. 2020 was a pivotal year for everyone, and the manufacturing industry is no exception. The retirement of experienced workers, increase in temporary workforce, continuously changing processes and higher mix assembly driven by economic factors and customer demand …
This blog post was originally published at Synopsys’ website. It is reprinted here with the permission of Synopsys. From safety features like collision avoidance to the self-driving cars that are being tested on highways and city streets, artificial intelligence (AI) technologies play an integral role in modern vehicles. Sophisticated sensors and deep-learning algorithms like neural …
This blog post was originally published at Edge Impulse’s website. It is reprinted here with the permission of Edge Impulse. We are delighted to announce that the Edge AI and Vision Alliance has named Edge Impulse’s EON Tuner their 2022 Edge AI Developer Tool of the Year today at the Embedded Vision Summit. The EON …
EON Tuner Awarded 2022 Edge AI Developer Tool of the Year Read More +
This blog post was originally published at Edge Impulse’s website. It is reprinted here with the permission of Edge Impulse. We can’t wait to see everyone in Santa Clara at the 2022 Embedded Vision Summit. The four-day event, running May 16th–19th, brings together the biggest names in computer vision and visual AI, for talks, workshops, …
Edge Impulse Brings the Latest In Edge ML to the Embedded Vision Summit Read More +
This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. In many computer vision applications, detection algorithms are the ‘bread and butter’, whether it be for detecting faces, people, vehicles, or any other objects. If you’re developing a computer vision application, you’re probably familiar with …
This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. AI may sound like something from the future, but nowadays, it’s becoming a must to gain a competitive advantage. As the industry is booming and the budgets are quickly expanding, this is fueling the expansion of AI-based …
This blog post was originally published at Teledyne FLIR’ website. It is reprinted here with the permission of Teledyne FLIR. Football (or soccer) is the world’s favorite pastime as well as a huge industry. Top clubs cannot afford to make the wrong personnel decisions – and key players need to recover as quickly as possible …
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