artificial intelligence News - Page 82 of 114 - CNX Software

May 21, 2020May 21, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

MARK AI Robot Kit Aims to Teach AI & Robotics to 12+ Years Old (Crowdfunding)

We’ve written about Kendryte K210 RISC-V AI processor, and Sipeed M1 module several times including in our getting started for Maixduino and GroveAI HAT boards for low-power AI inference such as object recognition or face detection using Arduino and Micropython programming. Shenzhen-based Tinkergen, a STEM Education owned by Seeed Studio, has now leveraged the low-cost processor to design MARK AI robot kit, where MARK stands for Make A Robot Kit, in order to processor an educational AI Robotics platform for children ages 12 years old and more. MARK will ship as a kit with the main parts and components including a chassis, a cover, two wheels, stepper motors, a pan-tilt camera with K210 processor, a 2.4″ LCD display, Grove & Arduino compatible MARKduino interface board, some sensors, and six AA batteries. Tinkergen offers pre-trained model to recognized objects like humans, books, pens, or smartphones, as well as traffic signs, numbers […]

May 16, 2020August 10, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

NVIDIA Jetson Developer Kits Comparison – Nano vs TX2 vs Xavier NX vs AGX Xavier

NVIDIA launched the Jetson Xavier NX developer kit yesterday, and I included a short comparison table in the announcement between Jetson Nano, TX2, Xavier NX, and AGX Xavier developer kits. But I thought it might be worthwhile to have a more detailed comparison in a separate post, so here we are. As expected, usually the more you spend on a board, the better the performance and features. The exception is Jetson TX2 which’s the same price as the new Jetson Xavier NX devkit but delivers about a fifth of the FP16 AI performance. So as today, there’s little reason to buy a TX2 board for a new project unless you need some of the required features that are missing on Xavier NX. Jean-Luc Aufranc (CNXSoft)Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and […]

May 15, 2020May 16, 2020 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

NVIDIA Introduces Jetson Xavier NX Developer Kit, and Cloud-Native Support

NVIDIA Jetson Xavier NX SoM was launched last month for $459. But while some third-party carrier boards were also announced at the time, the company had yet to offer Jetson Xavier NX Developer Kit as they did for Jetson Nano. But as GTC 2020 conference is now taking place in the kitchen of Jensen Huang, NVIDIA CEO, the company had plenty to announce including Jetson Xavier NX Developer Kit as well as “Cloud-Native” support for all Jetson boards and modules. NVIDIA Jetson Xavier NX Developer Kit Specifications: CPU – 6-core NVIDIA Carmel ARMv8.2 64-bit processor with 6 MB L2 + 4 MB L3 cache GPU – NVIDIA Volta architecture with 384 NVIDIA CUDA cores and 48 Tensor cores Accelerators 2x NVDLA Engines 7-Way VLIW Vision Processor Memory – 8 GB 128-bit LPDDR4x 51.2GB/s Storage – MicroSD slot, M.2 Key M socket for NVMe SSD Video Output – HDMI and DisplayPort […]

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

AI Network Video Recorder Combines Intel Atom X5 E3940 SoC, Two Myriad X VPUs, and Five Ethernet Ports

AAEON seems to launch a new “AI Embedded Box PC” monthly either equipped with an NVIDIA Jetson module or a solution combining an Intel processor and a Myriad X VPU card. Here’s another one with AAEON VPC-3350AI AI edge computer powered by an Intel Atom X5 E3940 Apollo Lake processor, as well as two Myriad X VPUs for AI acceleration, and equipped with five Ethernet ports – four of which supporting PoE – to get video data from IP cameras or other networked video sources that makes it especially suitable as an AI network video recorder. VPC-3350AI specifications: SoC – Intel Atom X5-E3940 quad-core Apollo Lake processor @ 1.6 GHz / 1.8 GHz with 2 MB cache, 12 EU Intel UHD graphics; 9.5W TDP; Option for Celeron N4200/N3350 and X5-E3950) System Memory – Up to 8GB, DDR3L via 204-pin SODIMM socket Storage – 1x SATA port for 2.5″ drives AI […]

May 1, 2020May 1, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

Congatec conga-TR4 COM Express Module is Powered by AMD Ryzen Embedded SoC

We’ve covered plenty of AMD Ryzen Embedded V1000-series SBCs, and some Ryzen Embedded mini PCs, but so far, we had not written about any AMD Ryzen Embedded V1000 or R1000 system-on-module (SoM) or computer-on-module (CoM), partially because there aren’t many yet, and because we missed Advantech SOM-5871 CPU module earlier this year. But there’s now another option courtesy of Congatec with conga-TR4 AMD Ryzen Embedded COM Express module with consumer or industrial temperature range, and a choice of seven different processors. conga-TR4 COM Express module specifications: SoC (one or the other) AMD Ryzen V1807B quad-core processor @ up to 3.35 GHz with 2MB L2 cache, Vega 11 graphics; 35-54W TDP AMD Ryzen V1756B quad-core processor @ up to 3.25 GHz with 2MB L2 cache, Vega 8 graphics; 35-54W TDP AMD Ryzen V1605B quad-core processor @ 2.0 GHz with 2MB L2 cache, Vega 8 graphics; 12-25W TDP AMD Ryzen V1202B dual-core […]

April 28, 2020April 29, 2020 by Jean-Luc Aufranc (CNXSoft) - 25 Comments

Allwinner V831 AI Full HD Camera SoC Powers Sochip V831 Development Board

In the last year or so, we’ve started to see several camera SoCs with a built-in NPU or SIMD instructions to accelerate face detection, objects detection and so on, starting with the low-resolution Kendryte K210 processor to the 2.5K Ingenic T31 MIPS video processor, or even the 4K capable iCatch V37 camera SoC. Allwinner introduces several camera processors (V3, V316, S3…) in the past, but none of them included an NPU aka AI accelerator. This has now changed with Allwinner V831 Cortex-A7 Full HD camera SoC also including a small 200 GOPS NPU. Sochip / Allwinner V831 AI Camera SoC Specifications: CPU – Single-core Arm Cortex-A7 processor @ up to 800 MHz with NEON, 32KB L1 instruction cache and 32KB L1 Data cache, 128KB L2 cache AI Accelerator – 0.2 TOPS (200 GOPS) NPU for face recognition, face detection, and “humanoid detection network” System Memory – 64MB on-chip DDR2 RAM […]

April 27, 2020 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

ESP32-Korvo AI Development Board Leverages ESP-Skainet Voice Assistant

Last September, Espressif Systems unveiled ESP-Skainet voice assistant optimized for ESP8266 and ESP32 wireless SoC with support for WakeNet wake word engine and MultiNet speech commands recognition with the former requiring just 20KB RAM for one word, and the latter supporting up to 100 offline commands as long as you had 4MP SPI flash or more. At the time, it only supported the Chinese language and worked on the upcoming “LyraT-Mini audio board“, now available for $26.99 shipped but only including one microphone. Espressif Systems has now announced a better AI development board with ESP32-Korvo AI development board includes featuring a mainboard with ESP32 processor and an audio ADC, and a subboard equipped with a 3-mic array, RGB LEDs, and various buttons. ESP32-Korvo specifications: Mainboard Wireless module – ESP32-WROVER-B with ESP32 dual-core Wi-Fi / BT processor, 128 Mbit SPI flash, and 64 Mbit PSRAM Storage – MicroSD card slot Audio […]

April 26, 2020April 26, 2020 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

Ingenic T31 AI Video Processor Combines MIPS & RISC-V Cores

Ingenic T31 MIPS & RISC-V Video Processor

Last week we asked “is MIPS dead?” question following the news that Wave Computing had filed for bankruptcy, two MIPS Linux maintainers had left, and China-based CIP United now obtained the exclusive MIPS license rights for mainland China, Hong Kong, and Macau. Ingenic is one of those Chinese companies that have offered MIPS-based processors for several years, but one commenter noted that Ingenic joined the RISC-V foundation, and as a result, we could speculate the company might soon launch RISC-V processors, potentially replacing their MIPS offerings. But Ingenic T31 video processor just features both with a traditional Xburst MIPS Core combines with a RISC-V “Lite” core Ingenic T31 specifications: Processors XBurst 1 32-bit MIPS core clocked at 1.5GHz with Vector Deep Learning accelerator based on SIMD128, 64KB + 128KB L1/L2 Cache RISC-V independent lite core System Memory – Built-in 512Mbit (64MB) or 1Gbit (128MB) DDR2 Storage – Quad SPI flash, […]