This project enhances a Python virtual RTU/IIoT simulator by integrating IEC-20922 (MQTT) support for industrial cyber twin development and OT security research. The enhanced simulator features an MQTT communication module handling publish-subscribe messaging and an RTU/IIoT framework that models field device operations, manages virtual I/O, and executes control logic. It adheres to a four-level ISA-95 architecture, demonstrating its application through an IoT drone telemetry system and a smart factory air vacuum control system. The simulator is designed for educational, prototyping, and cybersecurity analysis purposes.
https://t.co/i0M85vfL9R
Cannot believe that we have over 10K users on Microsoft Edge add-on store now. This is a BIG milestone. Thank you all for your kind support and love!!! #pagesaver
someone asked Beej how sockets work in C. he got tired of explaining it. so in 1995 he put it all online.
it's been the definitive socket programming guide for 30 years.
it covers everything: TCP, UDP, IPv4, IPv6, non-blocking I/O, select(), poll().
graduate OS courses worldwide assign it. it's funnier than any technical book has a right to be.
it's free and always will be.
A practical guide to installing yt-dlp on macOS, setting up its ffmpeg dependency, and diagnosing the errors that come up most often when something stops working.
Read:
https://t.co/c5IfbS79MF
Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough
Summary
• The video discusses the current state and future of Artificial General Intelligence (AGI), highlighting that while current techniques like large-scale pre-training and RLHF are foundational, key areas like continual learning, long-term reasoning, and memory are still unsolved.
• It traces the career of Demis Hassabis, co-founder of DeepMind, from a chess prodigy to a cognitive neuroscientist, emphasizing his lifelong mission to solve intelligence and DeepMind's significant achievements like AlphaGo and AlphaFold.
• The discussion touches upon the limitations of current context windows in AI models, comparing them to human working memory and the challenges of processing real-time data like video.
• It explores the role of reinforcement learning (RL) and agent systems, which DeepMind has historically focused on, and how these principles are being re-examined and applied at scale to current foundation models.
Key Takeaways
• Artificial General Intelligence (AGI): A hypothetical type of intelligence that could understand, learn, and apply knowledge across a wide range of tasks at a human-like level.
• Continual Learning: The ability of an AI system to learn new information and skills over time without forgetting previously learned knowledge.
• Long-Term Reasoning: The capacity of an AI system to process and understand information over extended periods, enabling it to make decisions based on complex, long-term dependencies.
• Agent Systems: AI systems designed to actively solve problems, make decisions, and accomplish goals autonomously.
https://t.co/LdEqx5DKUt
What to do when a #YouTube video has no captions — how audio-based transcription works, when it produces accurate output, and how to get usable text from any video.
A distributed IoT robot emulation system is detailed, designed to simulate smart robot actions or manufacturing processes through a modular, hub-control framework. This system integrates four wirelessly connected components: an Eye module for environmental sensing and object detection, a Face module for user interaction and status display, a Head module acting as the central decision-maker, and a Body module comprising Braccio++ robot arms for physical manipulation. The Head orchestrates operations by processing sensor data from Eye modules, user commands from Face modules, and issuing control actions to Body modules, supporting both predefined playbooks and dynamic calculations. Demonstrations showcase the robot's ability to interact with humans by detecting their presence and performing actions like waving or handing over objects, alongside manipulating items based on QR code detection.
https://t.co/3w26h3rP4i
this is pretty cool
some MIT students turned a building into a giant playable game of Tetris on Saturday at midnight
rigged each window with LEDs
MIT students are on a diff level
@pmarca this is really a heated debate and Jensen no wonder is the biggest AI star and he has clearly conveyed lots of things people have not thought of or don't want to believe. more insights can also be read at https://t.co/moFRVe2moz