artificial intelligence News - Page 83 of 98 - CNX Software

March 26, 2019June 10, 2019 by Jean-Luc Aufranc (CNXSoft) - 14 Comments

AI Core XM2280 M.2 Card is Equipped with two Myriad X 2485 VPUs

AAEON released UP AI Core mPCIe card with a Myriad 2 VPU (Vision Processing Unit) last year. But the company also has an AI Core X family powered by the more powerful Myriad X VPU with the latest member being AI Core XM2280 M.2 card featuring not one, but two Myriad X 2485 VPUs coupled with 1GB LPDDR4 RAM (512MB x2). The card supports Intel OpenVINO toolkit v4 or greater, and is compatible with Tensorflow and Caffe AI frameworks. AI Core XM2280 M.2 specifications: VPU – 2x Intel Movidius Myriad X VPU, MA2485 System Memory – 2x 4Gbit LPDDR4 Host Interface – M.2 connector Dimensions – 80 x 22 mm (M.2 M+B key form factor) Certification – CE/FCC Class A Operating Temperature – 0~50°C Operating Humidity – 10%~80%RH, non-condensing The card works with Intel Vision Accelerator Design SW SDK available for Ubuntu 16.04, and Windows 10. Thanks to the two […]

March 25, 2019 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Amlogic S922D, A311D, and A311X AI Processors Feature a Neural Network Coprocessor

We already know Amlogic is preparing to launch a few new processors with Amlogic S922X Hexa-core Cortex-A73/A53 processor found in the upcoming ODROID-N2 board, as well as Amlogic A311D processor with a very similar features. At the time, I had been told A311 would include an NPU (Neural network Processing Unit) but with zero details. I still don’t have much details about the NPU inside A311D processor, except for performance of up to 5 TOPS (Trillion Operations Per Second). So it appears the same NPU will be found in Amlogic S922D processor that, based on the table above, has the exact same specifications as Amlogic S922X except for the extra Neural Network AI co-processor that delivers up to 2.5 TOPS (16-bit?) and 5.0 TOPS (8-bit?) A.I. performance. I’ve also been informed that another Amlogic A311X processor would also be introduced with the NPU. Both A311X and A311D are said to […]

March 19, 2019September 6, 2019 by Jean-Luc Aufranc (CNXSoft) - 39 Comments

NVIDIA Introduces $99 Jetson Nano Developer Kit

NVIDIA Tegra X1 octa-core Arm processor with a 256-core Maxwell GPU was introduced in 2015. The processor powers the popular NVIDIA Shield Android TV box, and is found in Jetson TX1 development board which still costs $500 and is approaching end-of-life. The company has now introduced a much cheaper board with Jetson Nano Developer Kit offered for just $99. It’s not exactly powered by Tegra X1 however, but instead what appears to be a cost-down version of the processor with four Arm Cortex-A57 cores clocked at 1.43 GHz and a 128-core Maxwell GPU. Jetson Nano developer kit specifications: 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 (devkit) or 16GB eMMC flash (production) Video Encode – 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) Video […]

March 13, 2019April 13, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

FOSSASIA 2019 Schedule – March 14-17

As its name implies, FOSSASIA is a Free and Open Source Software event taking place every year in Asia, more specifically in Singapore. I first discovered it last year, and published a virtual FOSSASIA 2018 schedule last year to give an idea about the subjects discussed at the event. It turns out FOSSASIA 2019 is coming really soon, as in tomorrow, so I’m a bit late, but I’ll still had a look at the schedule and made my own for the 4-day event. Thursday – March 14, 2019 10:05 – 10:25 – For Your Eyes Only: Betrusted & the Case for Trusted I/O by Bunnie Huang, CTO Chibitronics Security vulnerabilities are almost a fact of life. This is why system vendors are increasingly relying on physically separate chips to handle sensitive data. Unfortunately, private keys are not the same as your private matters. Exploits on your local device still have […]

March 11, 2019 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

HiSilicon Hi3559A Board Enables Smart 8K Camera Development

HiSilicon Hi3559A 5-core Arm Cortex A73/A53 camera processor was announced in 2017 with support for 8K 30fps or 4K 120fps video recording, as well as an integrated dual core neural network accelerator (NNA). It should not be confused with the earlier Hi3559 4K 30 fps processor, or the newer Hi3559C that looks to be the same as Hi3559A without the NNA. Nevertheless, today I was lead to check about Hi3559A processor once again, and I could not find any camera that you can just buy and use today. I still found some upcoming Hi3559A products with OBSBOT Tail AI camera offered for as low as $509 on Kickstarter (delivery scheduled for April 2019), one 4K 120fps OEM? camera from GKuvision, as well as an HiSilicon Hi3559A development board for 8K camera applications, which I’ll look into more details in this blog post. HI3559AV100DMEB specifications: SoC – Hisilicon Hi3559A V100 with […]

March 7, 2019March 7, 2019 by Jean-Luc Aufranc (CNXSoft) - No Comments

$15 Sparkfun Edge Board Supports Tensorflow Lite for Microcontrollers

The 2019 TensorFlow Dev Summit is now taking place, and we’ve already covered the launch of Google’s Coral Edge TPU dev board and USB accelerator supporting TensorFlow Lite, but there has been another interesting new development during the event: TensorFlow Lite now also supports microcontrollers (MCU), instead of the more powerful application processors. You can easily get started with Tensorflow Lite for MCU with SparkFun Edge development board powered by Ambiq Micro Apollo3 Blue Bluetooth MCU whose ultra-efficient Arm Cortex-M4F core can run TensorFlow Lite using only 6uA/MHz. SparkFun Edge specifications: MCU – Ambiq Micro Apollo3 Blue 32-bit Arm Cortex-M4F processor at 48MHz / 96MHz (TurboSPOT) with DMA, 1MB flash, 384 KB SRAM, 6uA/MHz power usage, Bluetooth support. Connectivity – Bluetooth LE 5 (on-chip) + Bluetooth antenna Camera – OV7670 camera connector Audio – 2x MEMS microphones with operational amplifier Sensor – STMicro LIS2DH12 3-axis accelerometer Expansion – Qwiic connector, […]

March 4, 2019April 13, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Google to Launch Edge TPU Powered Coral Development Board and USB Accelerator

Several low power neural network accelerators have been launched over the recent years in order to accelerator A.I. workloads such as object recognition, and speech processing. Recent announcements include USB devices such as Intel Neural Compute Stick 2 or Orange Pi AI Stick2801. I completely forgot about it, but Google also announced their own Edge TPU ML accelerator, development kit, and USB accelerator last summer. The good news is that Edge TPU powered Coral USB accelerator and Coral dev board and are going to launch in the next few days for respectively $74.99 and $149.99. Coral Development Board Coral dev board is comprised of a base board and SoM wit the following specifications: 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 – […]

February 28, 2019 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

TI AM5729 Powered BeagleBone-AI Comes with TI C66x DSP and EVE Cores

Launched in 2013, BeagleBone Black is still one of the most popular hobbyist board thanks to its many I/Os, software support, and affordable price with being the cheapest board around those days. But it looks like we’ll soon have a new version that allows to experiment with artificial intelligence workloads. BeagleBone-AI is powered by Texas Instruments AM5729 SoC equipped with TI C66x digital-signal-processor (DSP) cores and embedded-vision-engine (EVE) cores supported through a TIDL (Texas Instruments Deep Learning) machine learning OpenCL API. BeagleBone-AI preliminary specifications: SoC – TI AM5729 dual core Cortex-A15 processor featuring 4 PRUs, Dual core C66x DSP, and 4 EVEs System Memory – 1GB RAM Storage – 16GB on-board eMMC flash with high-speed interface Networking – Gigabit Ethernet and high-speed WiFi SB – 1x USB type-C for power and superspeed dual-role controller, 1x USB type-A host Expansion – BeagleBone Black (BBB) compatible headers Dimensions – 86.4 x 53.4 […]