artificial intelligence News - Page 83 of 100 - CNX Software

May 5, 2019May 5, 2019 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Grove AI HAT Helps Raspberry Pi Run Edge Computing Workloads

Last year we wrote about Kendryte K210 dual core RISC-V processor specifically designed for for machine vision and machine hearing as well as the corresponding Kendryte KD233 which enables inference at the edge, e.g. tasks such as face recognition or object detection. Latter on we found the processor in Sipeed M1 module which went for as low as $5 in a crowdfunding campaign, and was fitted to some low cost boards now selling for $12.90 on Seeed Studio. The latter company has now designed Grove AI HAT that aims to assist Raspberry Pi in running the edge computing workloads previously described, as exposes 6 Grove interfaces to extend functionality with some of the Grove add-on modules. Grove AI HAT specifications: AI Module – Sipeed “MAIX” M1 with Kendryte K210 dual core RISC-V processor @ 600 MHz, KPU Convolutional Neural Network (CNN) hardware accelerator, APU audio hardware accelerator, 8 MB general […]

April 30, 2019April 30, 2019 by Jean-Luc Aufranc (CNXSoft) - 15 Comments

Rockchip RK1808 Datasheet, TRM, Schematics and Linux SDK Released

Rockchip RK1808 is the first chip from the company fully dedicated to artificial intelligence applications. The Neural Processing Unit (NPU) features an accelerator delivering up to 3.0 TOPS and is coupled with two low power Arm Cortex-A35 cores allowing it to run Linux. We’ve had the specifications for RK1808 for a while, but the company has recently posted hardware and software resources on their open source website. On the hardware side we’ve got: RK1808 Technical Reference Manual (TRM) RK1808 datasheet PDF Schematics for the company’s official RK1808-EVB On the software side we can get the Linux SDK from Github as explained in the Wiki:

git clone https://github.com/rockchip-linux/repo
mkdir linux
cd linux
../repo/repo init --repo-url=https://github.com/rockchip-linux/repo -u https://github.com/rockchip-linux/manifests -b master -m rk1808_linux_release.xml
../repo/repo sync

git clone https://github.com/rockchip-linux/repo

mkdir linux

cd linux

../repo/repo init --repo-url=https://github.com/rockchip-linux/repo -u https://github.com/rockchip-linux/manifests -b master -m rk1808_linux_release.xml

../repo/repo sync

Finally configure the build and start the build process:

sudo apt install liblz4-tool build-essential
source envsetup.sh rockchip_rk1808
./build.sh

sudo apt install liblz4-tool build-essential

source envsetup.sh rockchip_rk1808

./build.sh

After a while, or more accurately close to two hours on a Laptop with Ryzen 7 2700U processor, 8GB RAM, and hard drive, we’ll get U-boot, Linux, buildroot based rootfs, and firmware files and in […]

April 19, 2019 by Jean-Luc Aufranc (CNXSoft) - No Comments

Qualcomm Mesh Networking DevKit Supports Amazon AVS

Qualcomm Mesh Networking Devkit for Amazon AVS

The Qualcomm Mesh Networking Development Kit for Amazon AVS enables integration of Amazon Alexa Voice Services into mesh Wi-Fi systems. A somewhat recent blog post on Amazon Developer website explains the devkit is the first ever Amazon-qualified reference design for a mesh WiFi system with Alexa built-in. The reference platform is based on the Qualcomm IPQ4019 SoC, includes a rectangular 4-microphone array, far-field audio processing algorithms for noise suppression, acoustic echo cancellation, wake word engine, and the AVS Device SDK. Qualcomm Mesh Networking DevKit specifications: WiSoC – Qualcomm IPQ4019 quad core Arm Cortex-A7 processor @ 717 MHz with SIMD DSP, WiFi 5; 40 nm process technology System Memory – 1GB DDR3L RAM Storage – eMMC flash and microSD card Display I/F – LCD interface Connectivity WiFi Standards: 802.11ac Wave 2, 802.11ac, 802.11p, 802.11n Bands: 2.4 GHz, 5 GHz Peak speed: 1.733 Gbps Channel Utilization: 20/40/80 MHz, 5/10/20/40 MHz MIMO Configuration: […]

April 18, 2019 by Jean-Luc Aufranc (CNXSoft) - No Comments

MIPS Based TritonAI 64 AI IP Platform to Enable Inferencing & Training at the Edge

After announcing their first MIPS Open release a few weeks ago, Wave Computing is back in the news with the announcement of TritonAI 64, an artificial intelligence IP platform combining MIPS 64-bit + SIMD open instruction set architecture with the company’s WaveTensor subsystem for the execution of convolutional neural network (CNN) algorithms, and WaveFlow flexible, scalable fabric for more complex AI algorithms. TritonAI 64 can scale up to 8 TOPS/Watt, over 10 TOPS/mm2 using a standard 7nm process node, and eventually would allow both inference and training at the edge. The platform supports 1 to 6 cores with MIPS64r6 ISA boasting the following features: 128-bit SIMD/FPU 8/16/32/int, 32/64 FP datatype support Virtualization extensions Superscalar 9-stage pipeline w/SMT Caches (32KB-64KB), DSPRAM (0-64KB) Advanced branch predict and MMU Integrated L2 cache (0-8MB, opt ECC) Power management (F/V gating, per CPU) Interrupt control with virtualization 256b native AXI4 or ACE interface Here’s the […]

April 18, 2019 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

$50 Anker Roav Bolt Car Charger is Optimized for Google Assistant

While it may be tempting to check your messages, make phone calls or checking something on your smartphone while driving, it’s never a good idea. But thanks to Anker Roav Bolt car charger with built-in Bluetooth connectivity and a microphone array, you can perform those tasks through Google Assistant while keeping your eyes on the road. Anker Roav Bolt key features and specifications: Voice Chip – Far-Field Voice Processor Audio 2x MEMS Microphones 3.5mm audio jack Noise cancellation, acoustic echo cancellation Connectivity – Bluetooth 4.2 Misc – 1x physical button used to trigger GVA (Google Voice Assistant), 4x RGB LED Power Input – 12V-24V cigarette lighter sockets USB Output – 24W, 5V/2.4A max per port, Anker PowerIQ Technology So you get to charge your phone, while it is connected to your car audio system over Bluetooth or the audio jack, and make calls, start listening to a podcast, or ask […]

April 14, 2019 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

$59 ONE Mini Pocket Multilingual Assistant Supports 12 Languages (Crowdfunding)

I had a look at voice translator devices several years ago, and most would go for $200 or more, so when I was informed about ONE Mini pocket multilingual assistant selling for $59 US it caught my attention. The device supports 12 languages using machine translation for live interpretation of short sentences, speech to text transcription, and a professional interpretation service connecting you to human interpreters for more complex conversations is also offered. ONE Mini hardware specifications: WiSoC – Airoha 1526P Bluetooth Audio chip Connectivity – Bluetooth 5.0 dual mode with A2DP 1.3, HFP 1.7, HSP 1.2 Audio – Dual microphone MEMS 59 dB with noise reduction; speaker; headphone jack; AAC decoding USB – 1x USB type-C port for charging Misc – Breathing light, functional light, buttons for power, volume, translation key A & B, and record/interpreter button Battery – 250 mAh battery good for about 10 hours of recording/calling, […]

April 12, 2019April 13, 2019 by Jean-Luc Aufranc (CNXSoft) - 31 Comments

Amlogic S905X3 Specifications & Block Diagram

A few days ago, we wrote about upcoming quad core Cortex-A55 processors from Amlogic with S905X3, S905Y3, and S905D3 SoCs. Today, we got a little more information with a product brief including the main features, and a block diagram. Amlogic S905X3 is described as an “advanced application processor designed for hybrid OTT/ IP Set Top Box (STB) and high-end media box applications. Amlogic S905X3 specifications: CPU Sub-system Quad core Arm Cortex-A55 CPU with Armv8-A Neon and Crypto extension, 8-stage in-order full dual issue pipeline, unified system L3 cache Arm Cortex-M3 core for system control processing Optional Arm Cortex-M4 core for always-on processing TrustZone Internal QoS based switching fabrics Optional Neural Network Accelerator – 1.2 TOPS NN inference accelerator supporting TensorFlow and Caffe 3D Graphics Processing Unit – Arm Mali G31MP2 GPU with support for OpenGL ES 3.2, Vulkan 1.0 and OpenCL 2.0 support 2.5D Graphics Processor Fast bitblt engine with […]

April 10, 2019April 10, 2019 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Snapdragon 730, 730G & 665 Mobile Platforms Target High and Mid Tier Devices

Qualcomm has announced three new processor / mobile platforms for high and mid-tier mobile devices. Qualcomm Snapdragon 730, 730G and 665 Mobile Platforms are designed to improve experiences in artificial intelligence (AI), gaming, camera, as well as general performance. Snapdragon 730 & 730G Both processors share many of the same features: Qualcomm Artificial Intelligence Engine AIE CPU – Octa-core Qualcomm Kryo 470 CPU @ up to 2.2 GHz AIE GPU – Qualcomm Adreno 618 GPU with support for OpenCL 2.0 FP, Vulkan 1.1, OpenGL ES 3.2, DX12 AIE DSP – Qualcomm Hexagon Vector eXtensions (HVX), Qualcomm Hexagon Tensor Accelerator, Qualcomm Hexagon 688 Processor, Qualcomm Hexagon Voice Assistant, Qualcomm All-Ways Aware technology Neural Processing: Qualcomm® Neural Processing SDK Display On-Device Display Snapdragon 730 – up to FHD+ (18:9), 2520×1080 resolution Snapdragon 730G – up to Quad HD+, HDR10, 3360×1440 External Display up to 4K resolution Camera Qualcomm Spectra 350 image signal […]