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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.
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Tesla’s Relationship With Radar
Tesla started its full self-driving hardware with radar in 2016, it began the break-up with radar in 2021, and radar was removed from production entirely in 2021. But in 2023, Tesla released its Hardware 4.0 (HW4.0) update, and radar has re-entered the relationship, but for how long? The findings of IDTechEx‘s market research report, “Automotive
Improving Productivity with AI
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Application of Computer Vision in the Industrial Sector Inventory management is a key process for all industrial companies, but the inventory process is both time-consuming and error-prone. Mistakes can be very costly, and it is highly undesirable
Build Vision AI Applications at the Edge with NVIDIA Metropolis Microservices and APIs
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Metropolis microservices provide powerful, customizable, cloud-native APIs and microservices to develop vision AI applications and solutions. The framework now includes NVIDIA Jetson, enabling developers to quickly build and productize performant and mature vision AI applications at
Fast-track Computer Vision Deployments with NVIDIA DeepStream and Edge Impulse
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI-based computer vision (CV) applications are increasing, and are particularly important for extracting real-time insights from video feeds. This revolutionary technology empowers you to unlock valuable information that was once impossible to obtain without significant operator intervention,
Explore How Embedded Vision is Contributing to the Smart Retail Revolution
e-con Systems is thrilled to announce its participation in NRF 2024, retail’s big show, held in New York, USA. Visit Booth 1314 on Level 1 from January 14th to 16th, 2024. Book Your Slot Now Meet the company’s team of camera experts and discover how embedded vision can unleash the potential of retail. Experience live
The Autonomous Home Has Arrived: Experience What’s Possible at CES 2024
This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. As we enter 2024, the smart home is ready to enter a new era. Thanks to two overlapping trends — the arrival of Matter, the interoperability standard from the Connectivity Standards Alliance (CSA), and the
Unlocking the Potential of Unlabelled Data with Zero Shot Models and Vector Databases
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Search and retrieval of thousands or even millions of images is a challenging task, especially when the data lacks explicit labels. Traditional search techniques rely on keywords, tags, or other annotations to match queries with relevant items.
A Visual Quality Control Solution for Pharma Industry Inspection Machines
This blog post was originally published at Silo AI’s website. It is reprinted here with the permission of Silo AI. Together with Körber, Silo AI has developed a visual quality solution for inspection machines to control the quality of Covid19 vaccine ampoules. The international technology group Körber and Silo AI, one of the largest private
Qualcomm Accelerates New Wave of Mixed Reality Experiences with Snapdragon XR2+ Gen 2
Highlights: The Snapdragon XR2+ Gen 2 supports 4.3K per eye resolution and 12 or more concurrent cameras to deliver crisp, immersive mixed reality (MR) and virtual reality (VR) experiences. Samsung and Google to provide leading XR experiences by utilizing Snapdragon XR2+ Gen 2. Jan 4, 2024 | San Diego | Qualcomm Technologies, Inc. today announced
Context is (Nearly) Everything: How Humans and AI Understand Visual Stimuli Differently. Or, When is a Bird a Bird?
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. As humans, we have a visual system that allows us to see (extract and understand) shapes, colours and contours. So why do we see every image as a different image? How do we know, for example, that
