This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The attention mechanism made big changes in deep learning. Thanks to this, models can achieve better results. This mechanism was also the inspiration for perceivers and also transformer neural networks . And transformers led to the development […]
Deep Learning Models Which Pay Attention (Part I) Read More +
This blog post was originally published at Silo AI’s website. It is reprinted here with the permission of Silo AI. Machine learning in embedded systems is becoming increasingly important. We are seeing it being utilized in a multitude of different application areas including automotive, manufacturing, robotics as well as as well as in advanced consumer
AI On the Edge: Machine Learning in Restricted Environments Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. While robots have proliferated in recent years in smart cities, factories and homes, we are mostly interacting with robots controlled by classical handcrafted algorithms. These are robots that have a narrow goal and don’t learn from their
Embodied AI: How Do AI-powered Robots Perceive the World? Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Autonomous vehicles (AV) come in all shapes and sizes, ranging from small passenger cars to multi-axle semi-trucks. However, a perception algorithm deployed on these vehicles must be trained to handle similar situations, like avoiding an obstacle or
Using Synthetic Data to Address Novel Viewpoints for Autonomous Vehicle Perception Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. AI and privacy: How on-device AI enhances privacy and security The rapid adoption of generative artificial intelligence (AI) has opened a new world promising explosive creativity, convenience and productivity. With large language models (LLMs), as well as
Preserving Privacy and Security In a Generative AI World Read More +
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Why is explaining machine learning models important? The main focus in machine learning projects is to optimize metrics  like accuracy, precision, recall, etc. We put effort into hyper-parameter tuning or designing good data pre-processing. What if these
Why is Explaining Machine Learning Models Important? Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. An Inertial Measurement Unit (IMU) detects movements and rotations across six degrees of freedom, representing the types of motion a system can experience. When paired with Time-of-flight (ToF) cameras, it ensures accurate spatial understanding and
The Role of the Inertial Measurement Unit in 3D Time-of-flight Cameras Read More +
This blog post was originally published at Silo AI’s website. It is reprinted here with the permission of Silo AI. Similarly to AI, edge AI should be approached as an umbrella term. Edge AI is not a model but an entire technology stack. Like AI, there’s an incredible amount of different technologies and methods underneath
Understanding Today’s Edge AI Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Ethernet cameras use standardized communication protocols to transmit image data across networks. This ensures imaging fidelity, efficient data transfer, and more interoperability. See how Ethernet cameras actually work, know their top features, dig into their
How Ethernet Cameras Give the Power of Sight to Embedded Vision Applications Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Snapdragon Ride Vision System is designed to enhance vehicle perception for safer driving experiences Today’s drivers reap the benefits of active safety features in their vehicles. Automatic emergency braking, lane departure warnings, blind spot detection and
Modern Vehicles See More with Computer Vision Read More +
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