artificial intelligence News - Page 73 of 102 - CNX Software

February 20, 2020 by Ayo Ayibiowu - 2 Comments

XMOS launches Xcore.AI, a scalable AI processor for the Edge

XMOS, known for its high-performance voice interfaces, is joining the AIoT bandwagon with the announcement of the Xcore.ai, a flexible and economical processor delivering high-performance AI, DSP, control, and I/O’s in a single device. IoT and AI have been one of the most trending topics and fields in the last decade. Both areas have seen large innovations in between them. Deep neural networks have become better, IoT deployment cost has also been greatly reduced, and most importantly, they both have a significant impact on multiple industries. An interesting trend recently is the emergence of applications merging AI and IoT together to form so-called AIoT applications. IoT will be the digital nervous system, while AI will become the brain that makes all the critical decisions which will control the whole system. AIoT has led to the development and deployment of what we call AI processors or AI modules that can be […]

February 20, 2020 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Google Releases Android 11 Developer Preview – What’s New?

I’ve only just upgraded my Xiaomi Mi A2 phone to Android 10 earlier this week, but Google is already preparing for the next version of the mobile operating system, and the company has already released the first developer preview for Android 11 OS. Enhancements for foldables and 5G, call-screening APIs, new media & camera capabilities, and machine learning are some of the improvements brought to Android 11 so far. Some of Android 11 highlights include: Updates of existing connectivity APIs to take advantage of improved 5G speeds. Dynamic meteredness API to check whether the connection is unmetered in order to offer higher resolution or quality for users who don’t need to pay extra for data Bandwidth estimator API to check the downstream/upstream bandwidth without having to poll the network. Pinhole and waterfall screen support – Pinhole screens are the ones with a round opening for the camera, and waterfall […]

February 12, 2020 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

AAEON PICO-WHU4 Whiskey Lake Pico-ITX Board is Designed for AI and Edge Computing

AAEON has just launched a Whiskey Lake Pico-ITX SBC made for AI and edge computing with PICO-WH4 featuring a 15W Intel Core i3/i5/i7 or Celeron processor combined with up to 16GB DDR4 memory, The board offers dual Gigabit Ethernet connectivity, dual display support with HDMI connectors, USB 3.2 ports, SATA storage, as well as mPCIe and M.2 expansion slots. AAEON PICO-WHU4 specifications: SoC (one or the other; all Whiskey Lake U-series processors) Intel Celeron 4305UE dual-core processor @ 2.00 GHz (no turbo frequency) with Intel UHD Graphics 610 @ 300 MHz / 1.0 GHz (Turbo); 15W TDP Intel Core i3-8145UE dual-core/quad-thread processor @ 2.2 GHz / 3.9 GHz (Turbo) with Intel UHD Graphics 620 @ 300 MHz / 1.0 GHz (Turbo); 15 TDP Intel Core i5-8365UE quad-core/octa-thread processor @ 1.6GHz / 4.1GHz (Turbo) with Intel UHD Graphics 620 @ 300 MHz / 1.05 GHz (Turbo); 15 TDP Intel Core i7-8665UE […]

February 11, 2020 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Arm Introduces Cortex-M55 MCU Core, Arm Ethos-U55 microNPU for Cortex-M Microcontrollers

Artificial Intelligence and the Internet of Things often go hand in hand with AIoT being a new buzz word that came up last year or so. But for AIoT to scale we need ultra-low-cost, low-power solutions capable of doing inference at the sensor node level, and this is only possible with microcontrollers. To achieve this goal, Arm has just unveiled the Arm Cortex-M55 microcontroller core optimized for artificial intelligence workloads that delivers up to a 15x uplift in ML performance and a 5x uplift in DSP performance with greater efficiency, as well as Ethos-U55 microNPU designed for Cortex-M microcontrollers that need even more AI performance (up to 480 times faster), while consuming as little power as possible. Arm Cortex-M55 Key features and specifications: Architecture – Armv8.1-M Bus interface – AMBA 5 AXI5 64-bit master (compatible to AXI4 IPs) Pipeline – 4-stage (for main integer pipeline) Security – Arm TrustZone technology […]

February 7, 2020February 12, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

Mustang-M2BM-MX2 M.2 Card Features Two Intel Movidius Myriad X VPUs

We’ve already seen M.2 cards based on one or more Intel Movidius Myriad X VPU with the likes of AAEON AI Core XM2280 M.2 card, but there’s now another option from Taiwan-based IEI Integration Corp with their Mustang-M2MB-MX2 card. Specifications: AI Accelerators – 2x Intel Movidius Myriad X MA2485 VPU Dataplane Interface – M.2 BM Key Power Consumption – Around 7.5W Cooling – Active Heatsink Dimensions – 22 x 80 mm Temperature Range – -20°C~60°C Humidity – 5% ~ 90% Just like other Myriad X devices, the card relies on Intel OpenVINO toolkit working on Ubuntu 16.04.3 LTS 64-bit, CentOS 7.4 64-bit or Windows 10 64-bit operating systems, and supporting AlexNet, GoogleNetV1/V2, MobileNet SSD, MobileNetV1/V2, MTCNN, Squeezenet1.0/1.1, Tiny Yolo V1 & V2, Yolo V2, ResNet-18/50/101 topologies, as well as TensorFlow, Caffe, MXNet, and ONNX AI frameworks. The heatsink is really thick (~2 cm high), so it’s not something you’d just […]

February 1, 2020December 1, 2021 by Jean-Luc Aufranc (CNXSoft) - 17 Comments

Rockchip RK3566, RK3588, RV1109 SoC’s Coming in 2020 based on Rockchip Processor Roadmap

Last year, Rockchip had a presentation in China where they highlighted their processor roadmap for 2020, and we learned about processors such as Rockhip RK3588 Cortex-A76/A55, RK3530 Cortex-A55 SoC’s, and RV1109 camera processor, but we had limited details about the processors at the time. CNX Software has now received a more detailed roadmap that reveals some of the specifications about the new processors, and some Rockchip products that people may not be aware of such as a 3D structured light module and a 4G module. Rockchip RK3566 Rockchip RK3530 is not shown in the roadmap, but there’s a similar RK3566 processor, so I assume the company just changed the name. Rockchip RK3566 specifications: CPU – Quad-core Arm Cortex-A55 @ 1.8GHz GPU – Arm Mali-G52 2EE NPU – 0.5 TOPS with support for INT8/ INT16 Multi-Media 8M ISP 2.0 with 3F HDR(Line-based/Frame-based/DCG) Support MIPI-CSI2,4-lane 1080p60 H.265, H.264 encoding 4K H.264/H.265/VP9 60fps […]

January 28, 2020February 29, 2020 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

ASUS Tinker Edge T SBC Launched for $168 and Up

ASUS unveiled Tinker Edge T & CR1S-CM-A SBCs based on Google Coral Edge TPU system-on-module featuring both NXP i.MX 8M processor and Google Edge TPU co-processor for AI acceleration in May 2019, but at the time none of the boards were available. But earlier this month, ASUS officially announced the board, and it can now be purchased on various sites including Provantage (~$168.35) and Physical Computing (21,600 JPY ~ $200). It is also listed on Connection for about $198 but currently out of stock. Edge TPU module SoC – NXP i.MX 8M quad-core Arm Cortex-A53 processor with Arm Cortex-M4F real-time core, GC7000 Lite 3D GPU ML accelerator – Google Edge TPU coprocessor delivering up to 4 TOPS System Memory – 1 GB LPDDR4 RAM Storage – 8 GB eMMC Flash memory Wireless Connectivity – Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) Bluetooth 4.2 Baseboard Storage – MicroSD card slot Networking – Gigabit […]

January 17, 2020 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

NVIDIA Jetson Nano Developer Kit-B01 Gets an Extra Camera Connector

Launched in March 2019, NVIDIA Jetson Nano developer kit offered an AI development platform for an affordable $99. The kit is comprised of Jetson Nano module and a carrier board, and the version I received last November ended with “A02”. Jetson Nano developer kit is now getting updated with B01 carrier board that adds an extra MIPI CSI connector and other few changes, including compatibility with NVIDIA Jetson Nano production module (with eMMC flash instead of MicroSD card). Jetson Nano developer kit-B01 specifications: B01 Jetson Nano CPU Module 128-core Maxwell GPU Quad-core Arm A57 processor @ 1.43 GHz System Memory – 4GB 64-bit LPDDR4 @ 25.6 GB/s Storage – microSD card slot Video Encode – 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) Video Decode – 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 […]