Seeed Studio’s reComputer J3010B Edge AI PC is built around the NVIDIA Jetson Orin Nano module, which offers up to 67 TOPS AI performance (67 TOPS in super mode), with up to 8GB LPDDR5 memory, and a pre-installed 128GB NVMe SSD for storage. The mini PC features two USB 3.2 ports, HDMI 2.1 video output, a Gigabit Ethernet jack, M.2 slots for SSD and Wi-Fi, a mini PCIe socket for LTE, a 40-pin GPIO header, and a 12-pin UART header. With a compact aluminum case and active cooling, it has an operating temperature range of -10 to 60°C and can be powered via a DC 9-19V input. These features make this device useful for AI, IoT, and edge computing applications, such as smart lampposts for traffic monitoring, EV battery swapping and charging systems, smart recycling centers for waste management, and more. reComputer J3010B specifications: SoM options NVIDIA Jetson Orin Nano […]
Renesas RZ/V2N low-power AI MPU integrates up to 15 TOPS AI power, Mali-C55 ISP, dual MIPI camera support
Renesas has recently introduced the RZ/V2N low-power Arm Cortex-A55/M33 microprocessor designed for machine learning (ML) and computer vision applications. It features the company’s DRP-AI3 coprocessor, delivering up to 15 TOPS of INT8 “pruned” compute performance at 10 TOPS/W efficiency, making it a lower-power alternative to the RZ/V2H. Built for mid-range AI workloads, it includes four Arm Cortex-A55 cores (1.8GHz), a Cortex-M33 sub-CPU (200MHz), an optional 4K image signal processor, H.264/H.265 hardware codecs, an optional Mali-G31 GPU, and a dual-channel four-lane MIPI CSI-2 interface. The chip is around 38% smaller than the RZ/V2H MPU and operates without active cooling. The RZ/V2N is suitable for applications like endpoint vision AI, robotics, and industrial automation. Renesas RZ/V2N specifications CPU Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, […]
Geehy G32R501 dual-core Cortex-M52 industrial AI MCU targets industrial and automotive applications
Geehy Semiconductor has introduced the G32R501 Cortex-M52 industrial AI MCU, the industry’s first real-time MCU based on a dual-core Arm Cortex-M52 architecture. Designed for industrial automation, commercial power supplies, and electric vehicles. Back in 2023, we talked about the features and specifications of the Arm Cortex-M52 core, but now Geehy has introduced the G32R501 MCU with AI and DSP capabilities designed for low-cost IoT applications. This MCU features single and double-precision FPUs, an Arm Helium DSP extension, and Geehy’s Zidian Math Instruction Extension for AI/ML tasks and signal processing. It includes 640 KB Flash, 128 KB SRAM, TCM (Tightly Coupled Memory), and a six-channel DMA module for efficient data handling. The MCU also features three 12-bit ADCs (3.45 MSPS), seven 12-bit DAC comparators, and Σ-Δ filter modules to improve signal accuracy, making it ideal for motor control and real-time monitoring. With 16 high-resolution PWM channels (150-ps resolution), quadrature encoder modules, […]
Zant – An open-source Zig SDK for neural network deployment on microcontrollers
Zant is an open-source, cross-platform SDK written in Zig and designed to simplify deploying Neural Networks (NN) on microcontrollers. It comprises a suite of tools to import, optimize, and deploy NNs to low-end hardware. The developers behind the project developed Zant (formerly known as Zig-ant) after noticing many microcontrollers lacked robust deep learning libraries, and made sure it would be on various platforms such as ARM Cortex-M or RISC-V microcontrollers, or even x86 targets. Contrary to platforms like Edge Impulse that focus on network creation, Zant is about deployment and outputs a static, highly optimized library ready to be integrated into any existing work stack. Zant highlights: Optimized Performance – Supports quantization, pruning, and hardware acceleration techniques such as SIMD and GPU offloading. Low memory footprint – Zant employs memory pooling, static allocation, and buffer optimization to work on resources-constrained targets. Ease of Integration: With a modular design, clear APIs, […]
The One Smart AI Pen – A ballpoint pen with Bluetooth and a microphone for translation, LLM integration, note taking (Crowdfunding)
You may have seen the “Sell me that pen. It’s AI-powered” meme if you are a social media user. It may have started as a joke, but Zakwan Ahmad made the meme become reality with “The One Smart AI Pen” which is basically a standard ballpoint pen with a battery, Bluetooth connectivity, a microSD card, and a microphone. The AI part is not exactly inside the pen per se, but in a smartphone’s app called Hearit.ai that allows the user to translate his/her voice input, use a range of LLMs such as ChatGPT, recording a meeting, or taking notes, for example, to schedule events or meetings. The One Smart AI Pen specifications: “AI chip” – Not clear why it’s needed here… unless it transcribes audio into text inside the pen (as opposed to inside the phone) Storage – MicroSD card slot inside the pen Wireless – Bluetooth 5.2 with up […]
Qualcomm X85 5G modem powers 12.5Gbps Dragonwing Fixed Wireless Access (FWA) Gen4 Elite platform
As Mobile World Congress 2025 has just started, Qualcomm has announced the X85 5G modem with up to 12.5 Gbps peak download speed, 3.7 Gbps uploads and targeting a wide range of applications from Android smartphones to PCs, FWA routers, industrial applications with Ethernet TSN, or even railways with support for FRMCS (Future Railway Mobile Communication System) in Europe. The company also introduced the Dragonwing Fixed Wireless Access (FWA) Gen 4 Elite platform based on the Qualcomm X85 5G modem, a quad-core processor, GNSS, tri-band Wi-Fi 7, and network Edge AI coprocessor with up to 40 TOPS of NPU processing power. Qualcomm X85 5G modem Qualcomm X85 5G Modem-RF System specifications: Peak Download Speed – 12.5 Gbps (FR1 + FR2), 10.3 Gbps Peak Upload Speed – 3.7 Gbps Cellular Modem-RF – 10CC aggregation in mmWave, 6CC aggregation in 5G sub 6GHz, 400 MHz carrier aggregation (DL) Cellular Technology 5G NR […]
Halliday Proactive AI Smart Glasses feature invisible display, real-time translation, and hands-free control for $369+ (Crowdfunding)
Like the wearable voice-activated assistants last year (Rabbit R1 and Humane AI), smart glasses have become quite trendy and will likely be the most popular AI-enabled form factor this year. The Halliday smart glasses are a pair of AI-enabled smart glasses with an invisible display and a proactive assistant that “helps before you ask”. The Halliday smart glasses integrate a small display module into the frame, unlike the Loomos and Looktech smart glasses launched earlier this year through crowdfunding campaigns. The display module, DigiWindow, is described as “the world’s smallest display module at 3.5mm” and invisible to onlookers. It uses a monochrome green MicroLED with projection optics to allow users to access information without obstructing their field of view. The Halliday proactive AI smart glasses come in a lightweight frame, weighing only 35 grams. They can be controlled by voice, the included controller ring, a rapid button for shortcuts, or […]
Jetway F35-MTU1 3.5-inch SBC features Intel Core Ultra 7 155U or Ultra 5 125U Meteor Lake SoC
Jetway recently launched the F35-MTU1 3.5-inch SubCompact SBC, built around the Intel Core 5 125U and Ultra 7 155U (Meteor Lake) processors which also integrates an NPU for AI acceleration. It supports up to 96GB of DDR5 memory, features dual Intel 2.5GbE LAN with TSN, and supports WiFi 6 and 4G LTE connectivity via M.2 sockets. The board has several 4K display outputs, including DP Type-C, DP, HDMI, and LVDS/eDP. For storage, it offers M.2 slots supporting NVMe, PCIe, and CNVi, along with a SATA III port with RAID 0/1 support for data redundancy. I/O options include USB 3.2, USB 2.0, and four COM ports for serial communication, which can be used to connect external peripherals. With a wide operating temperature range and support for both Windows and Linux, the SBC is well-suited for AI workloads, IoT edge devices, and industrial control systems that demand high performance, connectivity, and reliability. […]