Neural Network
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This Nerf Gun Uses AI to Predict When You’ll Pull the Trigger A hobbyist maker has taken Nerf modding to the next level by integrating machine learning into a custom-built blaster called the Stinger. High-performance "flywheel" blasters usually suffer from a slight delay while the motors spin up to full speed, which can be the difference between a hit or a miss in a fast-paced game. To solve this, creator "stingernerf" bypassed traditional hardware… |
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ESP32 Offline Voice Recognition Using Edge Impulse Voice recognition is becoming an essential part of the Internet of Things (IoT), allowing us to control, monitor, and interact with devices hands-free. At its core, ESP32 speech to text works by capturing audio through a microphone, processing it, and converting it into text that devices can understand. This text is then used to trigger commands, just like how… |
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USC's Battery-Free Implant Aims to Provide Non-Addictive Pain Relief Reports say chronic pain affects 51.6 million Americans, and the effects are considered “high-impact” for about 17 million of them, influencing their life or work. Traditional methods of pain relief, such as opioid medications, carry the risk of addiction among other side effects. Current spinal cord stimulators are alternatives, but are expensive and require invasive surgery with a need for… |
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Edge AI Wildlife Detection Using Raspberry Pi Zero and Smart Camera Luke Ditria has created a tinier and less expensive version of a wildlife-monitoring device that he built earlier. The tool makes use of AI to detect animals in real time, without needing the internet. The original version’s use of a Raspberry Pi 5 and Hailo AI accelerator led to its increased price. This compact version uses a Raspberry Pi Zero 2 W and a smart camera that has AI built into it… |
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iRonCub3 Jet-Powered Humanoid Robot Achieves First Stable Flight A jet-powered humanoid robot named iRonCub3 just took its first flight. This robot, developed by the Italian Institute of Technology (IIT) in Genoa, lifted about 50 cm (1.5 feet) off the ground while maintaining stability. It has four engines, two on the arms and two on a jetpack on its back. This development follows years of research and testing that include real-world flight tests and… |
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Human-Like Prosthetic Hand Offers Intuitive Control for Everyday Tasks A soft robotic hand that feels and moves like a real human hand is developed by researchers from the Italian Institute of Technology (IIT)and Imperial College London. Traditional prosthetic hands are often rigid and are difficult to control naturally, these neural-controlled prosthetic hands with flexible grip are easy to control and manipulate. These Intuitive robotic hands controlled… |
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AI Meets Rocketry: A Self-Learning Neural Network For Thrust Vector Control For years, people have been using PID controllers to stabilize rockets, but one hobbyist on his YouTube channel Alpha Stellar Rocketry decided to try experimenting the same, but with artificial intelligence. The result? A fully self-training, neural network-based thrust vector control (TVC) system that promises smarter and more efficient stabilization in real time.… |
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High Accuracy Low-Bit Quantized Neural Networks on a 10-cent Microcontroller The BitNetMCU initiative streamlines the development of highly accurate neural networks for basic microcontrollers, such as the CH32V003, the famous 10 cents RISC-V MCU from WCH. Although recent attention has been on sophisticated AI tools like large language models and image generators, simpler AI applications are proving valuable across various sectors. For example… |
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Teaching 3D Model of Iron Man to Fly Using Neural Networks and Reinforcement Learning An inventor has created an impressive simulation on a YouTube channel called "gonkee," where they teach a 3D model how to simulate flying using neural networks. The project began by importing a highly detailed 3D model of Iron Man into Blender software, which required reducing the number of triangles to reduce the load on the computer.… |
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MAX78000 AI Microcontroller with Xailient Detectum Neural Network Provides Fast and Low-power IoT Face Detection Maxim Integrated’s new MAX78000 ultra-low power neural-network microcontroller detects and localizes faces in video and images using Xailient’s proprietary Detectum neural network. Xailient’s neural network draws 250x lower power (at just 280 microJoules) than conventional embedded solutions available in the market, and at 12 milliseconds (ms) per inference, the network… |
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High Precision, Low Power Smart Camera for Next-Generation ADAS The Renesas Electronics Corporation announced the joint development of a deep learning-based object recognition solution for smart cameras used in next-generation advanced driver assistance system applications and cameras for ADAS level 2 and above. This new smart camera solution employs deep learning for object recognition with high precision and low power consumption; it… |
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CEVA Introduces New AI Inference Processor Architecture for Edge Devices with Co-processing Support for Custom Neural Network Engines CEVA, Inc. announced NeuPro-S, its second-generation AI processor architecture for deep neural network inferencing at the edge. In conjunction with NeuPro-S, CEVA also introduced the CDNN-Invite API, an industry-first deep neural network compiler technology that supports heterogeneous co-processing of NeuPro-S cores together with custom neural network engines… |
