Search Results for : AI

The need for efficiency, speed, accuracy, and consistency in hardware design, in recent times, has spurred on the development of several AI systems that take in boundary parameters and return specifications, designs, and architectures to system designers. One of such tools is the...

As strong demands of Edge AI storm across industries, ASRock Industrial delivers the most reliable, flexible, and powerful iEPF-9000S Series/ iEP-9000E Series Ruggedized Edge AIoT Platform with wide connectivity options (5G/4G, WiFi-6, BLE-5.1). It is capable and compact, a...

AAEON, a leader in AI edge solutions, announces the release of the BOXER-8230AI AI Edge box PC powered by the NVIDIA® Jetson™ TX2 NX System on Module (SOM). The BOXER-8230AI delivers powerful computing performance without breaking budgets, along with rugged design and diverse...

Sipeed has been busy releasing several new boards, with some still into the production and testing phase. The manufacturer has now released an R329 camera board for the Chinese community only for free trials because the software environment is not fully ready for mass production. The...

Bosch Sensortec's all-in-one solution is ideal for always-on sensor applications such as machine learning analytics Bosch Sensortec's BHI260AP provides an ideal all-in-one solution for always-on sensor applications such as fitness tracking, pedestrian positioning, machine learning...

You don’t usually find a new AI development board by Arduino in the documentation before the release. For the Bosch Sensortec IoT Innovation Challenge, the first batch of the AI board has been sent to the participants. If you are interested in getting your hands on this new Arduino...

The Dutch startup QuantWare has announced the launch of the world’s first commercially available superconducting processor for quantum computers (QPU). This is the first time superconducting quantum processors have been made available ‘off the shelf’, and is being seen as a...

For real-time AI applications, it is important to process incoming data using a trained neural network model. For faster data processing, the introduction to AI inference at cloud did support many aspects, increasing efficiency, but the need to process the data at the end device has...