Search Results for : machine learning

Amyotrophic lateral sclerosis (ALS) is a chronic disease that affects the nervous system and causes a decline in muscle control. Symptoms of ALS may be minor in the early stages of the disease but get dramatically worse with time as people with ALS find it more and more difficult to...

Lantronix had announced its new Lantronix Open-Q™ 610 μSOM based on the powerful Qualcomm® QCS610 System on Chip (SOC). This micro System on Module (µSOM) is designed for connected visual intelligence applications with high-resolution camera capabilities, on-device...

The Coral Dev Board Mini is a single-board computer that provides fast machine learning (ML) inferencing in a small form factor. It's primarily designed as an evaluation device for the Accelerator Module (a surface-mounted module that provides the Edge TPU), but it's also a...

Turing Machines Inc. has finally opened preorders for the last $1000-unit run of its mini ITX cluster boards after a while of being sold in the market. The Mini-ITX form factor board simply referred to as "Turing Pi", is a compact solution that leverages the Raspberry Pi Compute...

Hailo has introduced a new line of M.2 and mini-PCIe cards for Linux systems. These new modules are equipped with up to 26-TOPS Hailo-8 NPUs. These Neural processing unit (NPU) are a specially designed chip that implements all the necessary control and arithmetic logic necessary to...

Have you been on the lookout for a deeply embedded board capable of rendering good quality HMI interfaces with the capabilities you normally find on microcontrollers? You may want to take a look at the new STM32H7 series of MCU's, as they are the industry's first ARM Cortex-M7 core with...

Advantech Launches Compact EPC-T4286 Embedded PC for Self-Service Terminals. Advantech, a leading provider of industrial system solutions, is proud to release EPC-T4286, an embedded computer designed for self-service applications. As the newest member of Advantech’s EPC-T series,...

"TinyML is proof that good things come in small packages", or so does ARM describe it, as it promises with TinyML to change a different approach, by running optimized machine learning models on small and efficient microcontroller-based endpoint devices, instead of bulky, power-hungry...