Tag: Tensorflow

TensorFlow 2.15 simplifies using NVIDIA's CUDA for AI on Linux with a single pip command and boosts performance with updates like CUDA 12.2 and Clang 17. It enhances machine learning efficiency on Windows and introduces advanced tf.function types for broad device...

SeedStudio has recently introduced the "Grove Vision AI V2" An AI-based camera module based on the HiMax WiseEye2 HX6538 dual-core Cortex-M55 AI microcontroller. The module works with an OV5647 camera module, and can be used for AI computer vision applications. Previously we have...

In today's world, data is everywhere, and the need for data analysis is increasing rapidly. One of the most promising technologies to enable an intelligent analysis of data is Machine Learning (ML). Machine Learning has revolutionized many industries by helping them make sense of the...

Last week, Codasip, known for edge tools and IPs, has announced RISC-V-based embedded cores for AI/ML edge customizations – L31 and L11 RISC-V processor cores. In addition to the existing low-power embedded cores, the L31 and L11 are aimed towards easing the customization process...

We recently saw a Banana Pi BMP-M2S single-board computer that was powered by the powerful Amlogic A311D processor. Prior to the release of Banana Pi BMP-M2S, the Geniatech DB10 AI development board came to light with the same AI processor onboard. The DB10 AI development board is huge...

There have been a few single board computers hitting the market that are built around the powerful Amlogic A311D processor. Recently Geniatech released the DB10 AI development board that also came with the same hardcore processor. You can read the article on the DB10 AI development...

VisionAI is an embedded solution for image processing with which applications from the fields of AI, Deep Learning and Machine Learning can be easily realised. With its integrated Google Edge TPU, the real-time inference system supports the frameworks TensorFlow Lite and AutoML Vision...

Edge computing has many great advantages. When you take some resource-heavy work from servers and let your less capable but still slightly powerful microcontrollers, you end up freeing server resources. Also, depending on what you are doing, you can get away with not using a server at...