artificial intelligence

Posted on by Jean-Luc Aufranc (CNXSoft) - 9 Comments on More Details about Alibaba XT910 64-bit RISC-V Core

More Details about Alibaba XT910 64-bit RISC-V Core

Xuantie XT902, XT9xx, XT910

Alibaba unveiled XuanTie 910 16-core RISC-V Processor last year with few details except it targetted high-performance 5G, AI, and autonomous driving applications. The company has now provided more details about Alibaba XuanTie 910 (aka XT910) processor during the virtual Hot Chips 2020 conference, and he notably compared the RV64GCV core found in the processor to Arm Cortex-A73 core. Alibaba XT910 main features and specifications: CPU – Up to 16x 64-bit RISC-V (RV64GCV) cores with RISC-V Vector extension and custom Turbo extension in four clusters of four cores; 12-stage out of order; Coremark: 7.1 per MHz Cache – 32KB or 64KB I/D cache per core, up to 8MB L2 cache per cluster FP16-FP64 floating-point unit Vector Computing Unit (aka Vector Engine) for AI acceleration Memory Management – Sv39 MMU + 8/16 PMP Interrupt Controller – Clint + PLIC Process – Final: 12nm FinFET; engineering samples: TSMC 28nm HPC Alibaba RISC-V Turbo […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 13 Comments on Sipeed Maix Amigo is a Portable 64-bit RISC-V AI Development Kit with Display and Cameras

Sipeed Maix Amigo is a Portable 64-bit RISC-V AI Development Kit with Display and Cameras

Sipeed Maix Amigo

Earlier this year, Seeed Studio introduced Wio Terminal a portable Arduino devkit with an LCD display, and expansion connectors and headers. The company is now selling a similar looking devkit but for different applications with Sipeed Maix Amigo portable 64-bit RISC-V development kit powered by Kendryte K210 RISC-V AI processor and equipped with an LCD display, two cameras, a few buttons, and several I/O headers and Grove connectors. Sipeed Maix Amigo specifications: SoC – Kendryte K210 Dual-core 64-bit RISC-V (RV64GC) processor with FPU @ 400 MHz (overclockable to 500MHz), 8MB SRAM, built-in AI accelerators for video and audio Storage – 16MB Flash, MicroSD card slot up Display – 3.5-inch TFT capacitive touch screen display with 480×320 resolution Camera VGA front-facing camera up to 30 fps (GC0328 sensor) VGA rear camera up to 60 fps (OV7740 sensor) Audio – Build-in microphone, optional 6-mic array USB – 1x USB Type-C port for […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Vision FPGA SoM Integrates Audio, Vision and Motion-Sensing with Lattice iCE40 FPGA (Crowdfunding)

Vision FPGA SoM Integrates Audio, Vision and Motion-Sensing with Lattice iCE40 FPGA (Crowdfunding)

Vision FPGA SoM

tinyVision.ai’s Vision FPGA SoM is a tiny Lattice iCE40 powered FPGA module with integrated vision, audio, and motion-sensing capability with a CMOS image sensor, an I2S MEMS microphone and a 6-axis accelerometer & gyroscope. The module enables low power vision (10-20 mW) for battery-powered applications, can interface via SPI  to a host processor as a storage device, comes with open-source toolchain and sample code, and is optimized for volume production. Vision FPGA SoM specifications: FPGA – Lattice iCE40UP5k FPGA with 5K LUT’s, 1 Mb RAM, 8 MAC units Memory – 64 Mbit QSPI SRAM for temporary data Storage – 4 Mbit QSPI Flash for FPGA bitstream/code storage Sensors Himax HM01B0 CMOS image sensor Knowles MEMS I2S microphone, expandable to a stereo configuration with an off-board I2S microphone InvenSense IMU 60289 6-axis Gyro/accelerometer I/Os 4x GPIOs with programmable IO voltage SPI host interface with programmable IO voltage Misc – Tri-color LED, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on UPX-Edge BrainFrame Edge AI DevKit Targets Smart Video Analytics

UPX-Edge BrainFrame Edge AI DevKit Targets Smart Video Analytics

UPX Edge Embedded Computer

AAEON UP Xtreme Edge (UPX-Edge) is a rugged embedded computer built around the company’s UP Xtreme SBC with a choice of 15W Whiskey Lake-U processors ranging from Celeron 4305UE to Core i7-8665UE, and optional Intel Movidius X AI accelerator cards. We previously noted the company had launched UP Xtreme Smart Surveillance kit integrating Milestone video management software (VMS) and SAIMOS video analytics software to the embedded computer. AAEON has now partnered with another company – AOTU.AI – to announce the launch of the BrainFrame Edge AI Developers Kit (DevKit) aiming to help developers and system integrators to rapidly create and deploy Smart Vision applications. The solution relies on UP Xtreme Edge mini PC fitted with an Intel Core i5-8365UE processor and 16GB RAM, 64GB eMMC flash, and two Intel Movidius Myriad X VPUs. We’ve also gone through Up Xtreme Edge specifications, so let’s instead focus on the software. This is […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 11 Comments on Wandboard 8MPLUS SBC Gets NXP i.MX 8M Plus SoC with 2.3TOPS NPU

Wandboard 8MPLUS SBC Gets NXP i.MX 8M Plus SoC with 2.3TOPS NPU

Wandboard 8MPLUS

TechNexion Wandboard Dual was one of the first Freescale i.MX 6 single board computers when it launched in early 2013 and the company has introduced a few more models over the years including Wandboard QuadPlus in 2017. TechNexion is now working on a new version called Wandboard 8MPLUS powered by the recently announced NXP i.MX 8M Plus SoC that features a built-in 2.3 TOPS NPU for AI acceleration. Wandboard 8MPLUS preliminary specifications: EDM System-on-Module SoC – NXP i.MX8M Plus quad-core Arm Cortex-A53 processor @ up to 1.8 GHz, Arm Cortex-M7 real-time core @ up to 800 MHz, Vivante GC7000UL 3D GPU, Vivante GC520L 2D GPU, HiFi 4 audio DSP, and 2.3 TOPS Neural Processing Unit (NPU) System Memory – 2GB or 4GB LPDDR4 Storage – 32GB eMMC flash Video Decode – HD (1080p +720p) Video Encode – 1080p60 H.265, H.264 260-pin EDM Type G board-to-board connector Debugging – JTAG Interface […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on MediaTek i350 Edge AI Processor is Designed for Mainstream AIoT & Smart Home Applications

MediaTek i350 Edge AI Processor is Designed for Mainstream AIoT & Smart Home Applications

MediaTek i350

MediaTek is well known for its mobile processors, but recently the company also manufactures IoT and AI processors such as MediaTek i300/i500 and MediaTek i700. The company has now introduced an updated to the entry-level MediaTek i300 processor with MediaTek i350 quad-core Cortex-A53 processor integrated with DSP and AI processor for vision and voice edge processing applications including facial, object, gesture, motion recognition, license plate recognition (LPR), voice activation and speed recognition, sound isolation, bio-tech and biometric measurements, and more. MediaTek i350 key features and specifications: Processor – 4x Arm Cortex-A53 cores up to 2.0 GHz with 512KB unified L2 cache, Arm NEON GPU – Arm Mali-G52 MC1 up to 800Mhz with support for OpenGL ES, OpenCL, and Vulkan APIs Co-processor – MediaTek APU 1.0 AI Processor up to 500MHz (285 GMACs) Memory -LPDDR4/LPDDR4X up to 3200Mbps, LPDDR3, DDR3/L up to 1866Mbps Storage – eMMC 5.1 flash (SLC/MLC/TLC) Display Interfaces […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Edge Impulse Enables Machine Learning on Cortex-M Embedded Devices

Edge Impulse Enables Machine Learning on Cortex-M Embedded Devices

Edge Impulse

Artificial intelligence used to happen almost exclusively in the cloud, but this introduces delays (latency) for the users and higher costs for the provider, so it’s now very common to have on-device AI on mobile phones or other systems powered by application processors. But recently there’s been a push to bring machine learning capabilities to even lower-end embedded systems powered by microcontrollers, as we’ve seen with GAP8 RISC-V IoT processor or Arm Cortex-M55 core and the Ethos-U55 micro NPU for Cortex-M microcontrollers, as well as Tensorflow Lite. Edge Impulse is another solution that aims to ease deployment of machine learning applications on Cortex-M embedded devices (aka Embedded ML or TinyML) by collecting real-world sensor data, training ML models on this data in the cloud, and then deploying the model back to the embedded device. The company collaborated with Arduino and announced support for the Arduino Nano 33 BLE Sense and […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on ECM3532 AI Sensor Board Features Cortex-M3 MCU & 16-bit DSP “TENSAI” SoC for TinyML Applications

ECM3532 AI Sensor Board Features Cortex-M3 MCU & 16-bit DSP “TENSAI” SoC for TinyML Applications

ECM3532 AI Sensor Board

Eta Compute ECM3532 is a system-on-chip (SoC) with a Cortex-M3 microcontroller clocked at up to 100 Mhz, and NXP CoolFlux 16-bit DSP designed for machine learning on embedded devices, aka TinyML, and part of the company’s TENSAI platform. The chip is also integrated into the ECM3532 AI sensor board featuring two MEMS microphones, a pressure & temperature sensor, and a 6-axis motion sensor (accel/gyro) all powered by a CR2032 coin-cell battery. ECM3532 AI sensor board specifications: SoC – ECM3532 neural sensor processor with Arm Cortex-M3 core @ up to 100 MHz (< 5μA/MHz run mode) combines with 512KB embedded FLASH, 256KB SRAM, and 8KB BootROM + secure bootloader, and NXP CoolFlux 16-bit DSP @ up to 100 MHz with 32KB program memory, 64KB data memory. See the product brief for details. Storage – 64Mbit serial Flash for datalogging Connectivity – Bluetooth 4.2 LE via ABOV Semiconductor A31R118 and PCB antenna […]

EmbeddedTS embedded systems design