artificial intelligence News - Page 28 of 99 - CNX Software

November 9, 2022March 17, 2024 by Leo Zachary - 1 Comment

AXERA AX620A 4K AI SoC delivers up to 14.4 TOPS for computer vision applications

AXERA AX620A is a high-performance, low-power AI SoC with a quad-core Arm Cortex-A7 processor and a 14.4TOPs @ INT4 or 3.6TOPs @ INT8’s NPU that is slightly inferior to the Amlogic A311D, and mainly used for AI vision applications. With high computing power and built-in image processing capabilities, the AX620A can support a wide range of AI workloads. It also offers low power consumption with low standby power and fast wake-up, so the chip can be integrated into battery-powered products. AXERA AX620A specifications: CPU – Quad-core Arm Cortex-A7 @ 1.0 GHz with 32KB L1 I-cache + 32KB L1 D-cache per core, 256KB L2 cache, FPU and NEON NPU – 14.4 TOPS @ INT4, 3.6 TOPS @ INT8 with support for Imagenet, AlexNet, VGG, ResNet, GoogLeNet, Faster R-CNN, SSD, FPN, Yolo V3, and other neural networks. ISP Proton AI-ISP up to 4Kp30 4 channels of camera support up to 4x 1080p30 Support […]

November 4, 2022November 4, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

T-Head XuanTie C908 RISC-V core targets AIoT applications

We’ve seen two announcements of high-end RISC-V cores this week with the SiFive P670 and Andes AX65 processors each with a 4-way out-of-order pipeline, but Alibaba’s T-Head Semiconductor Xuantie C908 is a little different with a dual-issued, 9-stage in-order pipeline and support for the RISC-V Vector extension acceleration targeting mid-range AIoT applications. The C908 64-bit RISC-V core adopts the RV64GCB[V] instruction and complies with the RVA22 profile for better compatibility with Android and other “rich” operating systems. The company says its performance is between the C906 and C910 cores introduced in 2020 and 2019 respectively. XuanTie C908 highlights: RV32GCB[V] 32-bit and RV64GCB[V] 64-bit RISC-V architectures with Bit manipulation and (optional) Vector operations extensions Support for RV32 COMPAT mode which allows for 64-bit RISC-V CPUs to run 32-bit binary code, and was merged into Linux 5.19. XuanTie extensions, including Instruction, Memory Attributes Extension (XMAE). RVA22 profile compatibility Cluster of 1 to […]

November 3, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Andes unveils AndesCore AX65 Out-of-Order RISC-V core for compute intensive applications

Andes Technology has unveiled the high-end AndesCore AX60 series out-of-order 64-bit RISC-V processors at the Linley Fall Processor Conference 2022 with the new cores designed for compute-intensive applications such as advanced driver-assistance systems (ADAS), artificial intelligence, augmented/virtual reality, datacenter accelerators, 5G infrastructure, high-speed networking, and enterprise storage. AndesCore AX65 is the first member of the family and supports RISC-V scalar cryptography extension and bit manipulation extension. It is a 4-way superscalar core with Out-of-Order (OoO) execution in a 13-stage pipeline and can fetch 4 to 8 instructions per cycle. The company further explains the AX65 core then decodes, renames, and dispatches up to 4 instructions into 8 execution units, including 4 integer units, 2 full load/store units, and 2 floating-point units. The AX65’s memory subsystem also includes split 2-level TLBs (translation lookaside buffers) with up to 64 outstanding load/store instructions. Up to eight AX65 cores (or should that then be […]

November 2, 2022November 2, 2022 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Quadric Chimera GPNPU IP combines NPU, DSP, and real-time CPU into one single programmable core

A typical chip for AI or ML inference would include an NPU, a DSP, a real-time CPU, plus some memory, an application processor, an ISP, and a few more IP blocks. Quadric Chimera GPNPU (general purpose neural processor unit) IP combines the NPU, DSP, and real-time CPU into one single programmable core. According to Quadric, the main benefit of such design is simplifying system-on-chip (SoC) hardware design and subsequent software programming once the chip is available thanks to a unified architecture for machine learning inference as well as pre-and-post processing. Since the core is programmable it should also be future-proof. Three “QB series” Chimera GPNPU cores are available: Chimera QB1 – 1 TOPS machine learning, 64 GOPS DSP capability Chimera QB4 – 4 TOPS ML, 256 GOPS DSP Chimera QB16 – 16 TOPS ML, 1 TOPS DSP Quadric says the Chimera cores can be used with any (modern) manufacturing process […]

October 31, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

TinyML-CAM pipeline enables 80 FPS image recognition on ESP32 using just 1 KB RAM

TinyML-CAM image recognition microcontroller boards

The challenge with TinyML is to extract the maximum performance/efficiency at the lowest footprint for AI workloads on microcontroller-class hardware. The TinyML-CAM pipeline, developed by a team of machine learning researchers in Europe, demonstrates what’s possible to achieve on relatively low-end hardware with a camera. Most specifically, they managed to reach over 80 FPS image recognition on the sub-$10 ESP32-CAM board with the open-source TinyML-CAM pipeline taking just about 1KB of RAM. It should work on other MCU boards with a camera, and training does not seem complex since we are told it takes around 30 minutes to implement a customized task. The researchers note that solutions like TensorFlow Lite for Microcontrollers and Edge Impulse already enable the execution of ML workloads, onMCU boards, using Neural Networks (NNs). However, those usually take quite a lot of memory, between 50 and 500 kB of RAM, and take 100 to 600 ms […]

October 27, 2022October 27, 2022 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Easily add face detection to your project with the Person Sensor module

It’s now much easier to AI features to your project thanks to better tools, but as we’ve experienced when trying out Edge Impulse machine learning platform on the XIAO BLE Sense board, it still requires some effort and the learning curve may be higher than some expect. But for common tasks like face detection, there’s no reason for the solution to be hard-to-use or expensive, and Pete Warden (Useful Sensors) has designed the $10 Person Sensor fitted with a camera module pre-programmed with algorithms that detect nearby faces and reports the results over an I2C interface. Person Sensor specifications: ASIC – Himax HX6537-A ultra-low-power AI accelerator @ 400 MHz with 2MB SRAM, 2MB flash Camera Image Sensor – 110 degrees FOV Image scan rate – 7Hz with no facial recognition Image scan rate – 5Hz with facial recognition active Host interface Qwiic connector for the I2C interface up to […]

October 26, 2022October 29, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Rockchip RK3588S industrial mini PC features CAN Bus, RS485 & RS232 interfaces, relay, and more

Firefly EC-R3588SPC industrial mini PC is based on the Rockchip RK3588S octa-core Cortex-A76/A55 processor and offers various interfaces used in industrial settings such as RS485 and RS232 serial interfaces, a CAN Bus, a relay, and digital input. The system is offered with up to 32GB RAM and 128GB eMMC flash, supports M.2 NVMe or SATA storage, as well as Gigabit Ethernet, Fast Ethernet, WiFi 4, Bluetooth 5.0, and 4G LTE cellular connectivity. You’ll also find 8K-capable HDMI and DisplayPort (USB-C) video outputs, some USB ports, and a 3.5mm audio jack. Firefly EC-R3588SPC specifications: SoC – Rockchip RK3588S octa-core processor with CPU – 4x Cortex-A76 cores @ up to 2.4 GHz, four Cortex-A55 cores @ up to 1.8 GHz GPU – Arm Mali-G610 MP4 quad-core GPU with OpenGL ES3.2 / OpenCL 2.2 / Vulkan1.1 support AI accelerator – 6 TOPS NPU VPU – 8Kp60 H.265/VP9/AVS2 video decoder, 4Kp60 AV1 decoder, 8Kp30 […]

October 23, 2022November 24, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Innodisk releases USB camera modules for AI applications

Innodisk, better known for its industrial storage solutions and embedded peripherals, has recently announced a shift towards the AI industry, and the first products for this market are three USB 2.0 camera modules with 1920×1080 resolution. All three camera modules are fixed focus. Innodisk EV2U-RMR2 offers HDR support, the EV2U-SGR1 is more compact, offers wider angles, and is optimized for low light conditions, while the EV2U-RMR1 supports HDR in a longer, but much thinner and narrower form factor and is equipped with an M5 lens, instead of an M12 lens for the other models. Innodisk EV2U-RMR2 camera module specifications: Resolution – 1920×1080 @ 30fps Sensor Size – 1/4” Pixel Size – 2 um Lens type – Fixed focus (M12) Lens D/H/V FoV – 86°/72°/38° HDR support Output I/F – USB 2.0 Power consumption – Around 1 Watt Dimensions – 58 x 25 x 22 mm Temperature Range – -20°C ~ […]