Tag: AI

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...

The Toybrick TB-RK3588SD is a single-board computer(SBC) powered by the Rockchip RK3588S, equipped with 8GB LPDDR4X RAM and a dual-core GPU and NPU for AI. It's designed for multimedia applications in AI, VR, and cloud computing, all while maintaining a similar form factor to a...

The Rockchip RK3568 features a quad-core Arm Cortex-A55 CPU running at up to 2.0 GHz, a Mali-G52 EE GPU, an NPU with 0.8 TOPS, and supports 4Kp60 video decoding for H.265/H.264/VP9, plus 1080p100 video encoding for H.265/H.264. We've previously explored several single-board computers...

The Banana Pi BPI-F3 Dev Board, developed by SpacemiT Technologies Ltd., is a compact development board developed by the RISC-V Foundation's RVA22 standards. The 8-core RISC-V K1 chip powers it and features 16GB of RAM and a 2.0 TOPs NPU, among many others. Previously, we have covered...

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...

At CES2024, AONDevice unveiled its new on-device machine learning chip, the AON1120. It features a RISC-V core, two NPU coprocessors, and a DSP, and operates at a remarkably low power consumption of just 260μW for full-load audio classification tasks. The AON1120 is a system-on-chip...

Axiomtek – a world-renowned leader relentlessly devoted to the research, development, and manufacture of series of innovative and reliable industrial computer products of high efficiency – is pleased to introduce the AIE900A-AO, a new edge AI computing system powered by the...

TinyM2Net is a multimodal learning framework, designed to work with resource-constrained tiny devices like microprocessors and microcontrollers. When tested with COVID-19 audio detection and battlefield object detection, It outperformed similar recognition tools and worked well on a...