Back to home
Technology

The Decisioninator ‘saved my marriage,’ says software engineer — device automates restaurant, chore, date night, and movie night choices

Source

Tom's Hardware

Published

TL;DR

AI Generated

Software engineer Makerinator created the Decisioninator, a device that automates decisions like choosing dinner, chores, date night venues, and movie night selections. The project, based on Raspberry Pi 4 and Flame Engine, uses Flutter UI framework for its application. Makerinator used woodworking skills to build a mini-arcade kiosk to house the Decisioninator, saving his marriage with its relationship-sensitive decision-making capabilities. The device features two buttons to navigate through different decision modes, making it a versatile tool for indecisiveness. The project showcases the power of technology and creativity in solving everyday dilemmas.

Read Full Article

Similar Articles

Creator makes Wi-Fi sound like dial-up Internet — uses Raspberry Pi and 2-watt speaker to convert digital data into analog signals

Creator makes Wi-Fi sound like dial-up Internet — uses Raspberry Pi and 2-watt speaker to convert digital data into analog signals

YouTube creator Nick Bild has recreated the nostalgic sound of dial-up internet by using a Raspberry Pi 3 and a USB Wi-Fi adapter to convert digital data into analog signals played through a 2-watt speaker. Bild's project involves collecting network traffic from a target computer, converting it to specific amplitudes via a microcontroller, and outputting it as an analog signal. While the sound produced is not identical to the traditional modem noise, it serves as a reminder of the slower internet speeds of the past. The project aims to preserve the experience of the dial-up handshake for future generations.

Tom's Hardware
Raspberry Pi 500+ Review: RGB clicky keys and NVMe storage, but with a $200 price tag

Raspberry Pi 500+ Review: RGB clicky keys and NVMe storage, but with a $200 price tag

The Raspberry Pi 500+ is a new model with a $200 price tag, featuring 16GB of RAM, a 256GB NVMe SSD, and a mechanical keyboard with RGB clicky keys. The device is larger than its predecessor, the Pi 500, and offers improved performance and power efficiency. While it provides a unique form factor and aesthetic appeal, it may not be the ideal choice for hardware hackers due to limited access to certain connectors. The Pi 500+ is suitable for home PC use, educational purposes, or as a thin client in business settings. Despite its higher price, it offers a compact and all-in-one solution for those seeking a desktop computing experience with Raspberry Pi technology.

Tom's Hardware
In search of riches, hackers plant 4G-enabled Raspberry Pi in bank network

In search of riches, hackers plant 4G-enabled Raspberry Pi in bank network

Hackers strategically placed a Raspberry Pi with a 4G modem in an unnamed bank's network to target the ATM system for financial gain. By combining physical intrusion with remote access malware using a Linux bind mount technique, the attackers evaded detection by security measures and forensic tools. The Raspberry Pi was connected to the bank's ATM network switch, allowing the hackers to potentially compromise the ATM switching server and manipulate the bank's hardware security module to access sensitive data. This sophisticated attack highlights the evolving tactics cybercriminals use to infiltrate banking systems and underscores the importance of robust cybersecurity measures.

Ars Technica
Dr. L.C. Lu on TSMC Advanced Technology Design Solutions

Dr. L.C. Lu on TSMC Advanced Technology Design Solutions

Dr. L.C. Lu, a key figure at TSMC, focuses on design-technology co-optimization, packaging innovations, and AI-driven methodologies for next-gen semiconductor systems. TSMC emphasizes DTCO and DDCL innovations for scaling from N5 to A14 nodes, with NanoFlex and NanoFlex Pro architectures offering efficiency gains. N2P and N2U nodes incorporate advanced DTCO and power delivery optimizations, with hybrid dual-rail architectures achieving significant energy savings. TSMC collaborates with EDA partners for AI integration, enhancing productivity and design quality. Advanced packaging technologies like CoWoS and SoIC play a crucial role in enabling AI scaling, with memory bandwidth and interconnect performance scaling aggressively. TSMC addresses power delivery and thermal management challenges in AI systems through advanced solutions. TSMC's advancements in design methodologies and AI-driven automation promise improved productivity and scalability in chip-package co-design.

SemiWiki

We use cookies

We use cookies to ensure you get the best experience on our website. For more information on how we use cookies, please see our cookie policy.