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小毛毛 @harmanjun

凡是科学的，皆可证伪；凡是哲学的，都可质疑。但凡邪恶的权利则不允许有任何反对和辩驳！ Gigi Island Joined December 2021
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小毛毛 retweeted
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Sadao Tokuyama @tokufxug

6 days ago

Patrick Deschere氏が開発した、製造ライン向けAI視覚チェックリスト 物体検出（RF-DETR）で部品の配置や結合をリアルタイム追跡し、工程表を自動更新。 作業ミスの防止や品質検査を効率化。 詳細はリプ欄。

小毛毛 retweeted
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CNX Software @cnxsoft

7 days ago

First third-party development board based on @ST_World STM32H7R7 Cortex-M7 MCU with 2.5D GPU. cnx-software.com/2026/07/21/art… The ART-Pi II board is powered by an STM32H7R7L8H microcontroller paired with 32 MB HyperRAM and 64 MB HyperFlash; it features a microSD card slot, WiFi 4 and Bluetooth 5.1 connectivity, an RGB LCD connector, two USB-C ports (OTG and Debug), a 40-pin Raspberry Pi-compatible GPIO header, a 28-pin GPIO header, two Qwiic connectors, and an on-board debugger. It's mainly designed for @rtthread RTOS development.

小毛毛 retweeted
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Taha Alasemi | طه العاصمي @tahaalasemi

a week ago

Why Synchronous Motors Cannot Self-Start?

小毛毛 retweeted
tahaalasemi Profile Picture

Taha Alasemi | طه العاصمي @tahaalasemi

7 days ago

How Does a Capacitor Start a Single Phase Motor?

小毛毛 retweeted
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Praveen Kumar Verma @Alacritic_Super

2 weeks ago

🐧 Linux Systems for PCB Development Boards Every Embedded Engineer Should Know 🟢 Beginner 🍓 Raspberry Pi 5 – Linux, GPIO, Python, robotics & IoT 🥭 Orange Pi 5 – Affordable ARM Linux development 🦴 BeagleBone Black – Real-time I/O with PRUs 🔵 Industrial & Edge AI 🤖 NVIDIA Jetson Orin Nano – AI inference & robotics 🦾 BeagleBone AI-64 – Industrial automation & vision 🧠 AMD Kria KR260 – FPGA + Embedded Linux 💡 Toradex Verdin – Industrial SoMs 📡 Siemens IOT2050 – Industrial IoT gateway 🟣 Open Hardware & RISC-V 🚀 Milk-V Jupiter / Mars – RISC-V Linux development 🛠️ VisionFive 2 – RISC-V SBC 🔓 Banana Pi BPI-F3 – 64-bit RISC-V platform ⚡ High-Performance Embedded 💻 Qualcomm RB3 Gen 2 – AIoT & computer vision 📷 NXP i. MX 8M Plus EVK – Vision + NPU 🔧 STM32MP257 Discovery Kit – MPU + MCU architecture 📚 Learn these concepts 🐧 Linux Kernel ⚙️ Device Tree (DTS) 🧩 Bootloaders (U-Boot) 📡 GPIO, UART, SPI, I²C, CAN 💾 eMMC, SD & NAND Flash 🖥️ Cross Compilation 📦 Buildroot & Yocto 🔌 Device Drivers 🌐 Networking 🔄 OTA Updates 🛠️ JTAG & GDB Debugging 📚 Resources - Buildroot — buildroot.org - Yocto Project — yoctoproject.org - Bootlin Embedded Linux Training — bootlin.com/training - Linux Kernel Docs — docs.kernel.org - Raspberry Pi Docs — raspberrypi.com/documentation - BeagleBoard — beagleboard.org - NVIDIA Jetson Docs — developer.nvidia.com/embedded

小毛毛 retweeted
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Alex @averagearc

2 weeks ago

"micro" controller btw

cnxsoft Profile Picture

CNX Software @cnxsoft

2 weeks ago

The world's smallest Arduino-compatible USB-C board. cnx-software.com/2026/07/14/mee… The moddo Pinch measures just 10.9 x 10.5 mm, and features a Microchip Technology Inc. SAMD11 Cortex-M0+ microcontroller with 4 KB SRAM and 16KB flash, an RGB LED, reset/bootloader button, 3.3 V LDO,

小毛毛 retweeted
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周览资源 @grgerwcwetwet

2 weeks ago

家里的网为什么突然变慢？ 很多时候不是宽带的问题，而是根本不知道谁在偷偷跑流量。 最近在 GitHub 上发现一个开源项目 Neko Master，可以把家里网关的流量实时可视化，一眼看清网络到底发生了什么。 GitHub：github.com/foru17/neko-ma…

小毛毛 retweeted
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SparkED @Afghan_Engineer

2 weeks ago

小毛毛 retweeted
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Taha Alasemi | طه العاصمي @tahaalasemi

2 weeks ago

What Happens When Two Electrical Phases Touch? ⚡ Phase-to-Phase Fault Explained

小毛毛 retweeted
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SparkED @Afghan_Engineer

2 weeks ago

Automatic liquid filling machine.

小毛毛 retweeted
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比特币橙子Trader @oragnes

3 weeks ago

x.com/i/article/2074…

小毛毛 retweeted
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SparkED @Afghan_Engineer

2 weeks ago

小毛毛 retweeted
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CNX Software @cnxsoft

2 weeks ago

Ultra-low-power MCU supporting always-on AI on coin- cell-powered devices. cnx-software.com/2026/07/13/amb… Ambient Scientific GPX10 Pro SoC features ten software-programmable MX8 AI cores leveraging the company’s DigAn technology, ultra-low-power ADC, an 8-bit DVP camera interface, 2048 KB SRAM, support for numerous peripherals, and an Arm Cortex-M4F core for non-AI workloads. With a consumption of under 100μW, it can deliver years of always-on AI on one coin-cell battery. The company provides a development kit, Windows/Linux SDK with middleware comprised of an RTOS and drivers running on the MCU.

小毛毛 retweeted
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MECHX @activepowerta

4 weeks ago

Hydraulic Bottle Jack in Action! Watch this satisfying 3D cutaway animation and discover how the Load Check Valve, Pressure Relief Valve, Pump Plunger, Piston, and Hydraulic Oil work together to lift massive loads with ease.

小毛毛 retweeted
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Seki | Physical AI Builder @saiho_seki

4 weeks ago

No LiDAR. No depth camera. Just a single camera. LingBot-Map reconstructs a 3D point cloud and tracks camera motion in real time from video. It could be used in many industrial applications.

小毛毛 retweeted
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Randy @K7AGE

a month ago

Plug and play QO100 with IC-9700 with Hibberling UDL-16 transverse. #hamradio2600 #hamradio.

小毛毛 retweeted
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Gray Zone Warfare 🔜 Gamescom @GrayZoneWarfare

a month ago

Enter a persistent open world where every move matters. A massive patch just dropped. Get Gray Zone Warfare at 33% off on Steam.

小毛毛 retweeted
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Binh Pham @pham_blnh

a month ago

how i recorded training data for the web viz btw the project is very simple: > threejs handles the rendering and the cameras > mujoco handles the physics and robot states > a python websocket server handles receiving observations from the website and sending leader actions from an actual leader arm > the rest is just the usual lerobot stack

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Binh Pham @pham_blnh

a month ago

you don’t need a robot to see physical ai in action, you just need a browser. this week I finally tried something I've wanted to do for a while: design an SO-101 scene in three.js, connect it to a real leader arm, collect teleoperation data, train an ACT model, then port it to

小毛毛 retweeted
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田中義弘 | taziku CEO / AI × Creative @taziku_co

a month ago

単眼カメラだけで、リアルタイムに空間を理解するモデルが出てきた。 LingBot-Mapは、RGBカメラ映像からカメラ姿勢と3Dシーンを再構築するオープンソースのストリーミング3Dモデル。 これが進むとロボット、AR、不動産、デジタルツインなどの入口が変わる。 詳細は🧵

小毛毛 retweeted
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Wenli Xiao @_wenlixiao

a month ago

Autoresearch just left the sandbox and entered the embodied world. We are excited to introduce 𝐄𝐍𝐏𝐈𝐑𝐄: a system that drops frontier coding agents onto a fleet of real robots and hands them the entire loop: reset the environment → search the literature → implement ideas and build the infra → train and deploy → self-verify → analyze the logs and rewrite the code → repeat, until the policy is reliable in the real world. No human in the loop. Guided only by the robot's self-proposed, heuristic-based success signal, the agents hill-climb to 99% on dexterous real-world tasks: organizing pins into a box, seating GPUs, tying zip-ties. We envision the bottleneck in robotics shifting — from building smarter algorithms to building the closed physical feedback loops an agent can finally turn on its own. 🔗 research.nvidia.com/labs/gear/enpi… From @NVIDIA @CMU_Robotics @Berkeley_AI 🧵

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