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mikhail-miguel

AI Studio - Create photo-real scenes for your products with AI-generated backgrounds (d... - 0 views

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    AI Studio: Create photo-real scenes for your products with AI-generated backgrounds (delete.bg). AI Studio: Sell More with beautiful designs, created by Artificial Intelligence (delete.bg).
mikhail-miguel

REimagine Home - Generative Artificial Intelligence to redesign any room in seconds (re... - 0 views

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    REimagine Home: Generative Artificial Intelligence to redesign any room in seconds (reimaginehome.ai). REimagine Home: It is one-click interior design generation tool (reimaginehome.ai).
mikhail-miguel

OpenAI API - Playground - 0 views

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    OpenAI Playground is a cutting-edge web-based tool designed to facilitate the construction and evaluation of predictive language models. Unlike ChatGPT, which excels at understanding context and can produce high-quality content even with vague prompts, OpenAI Playground requires specific prompts and settings for better-quality outputs. The tool boasts many purpose-specific preset prompts, ensuring seamless customisation through adjustable parameters such as the model, response length, and temperature. OpenAI Playground also accommodates diverse base language models, allowing users to handpick the one that perfectly resonates with their preferred conversational style. OpenAI Playground's Pros: Preset options for different tasks, such as text-to-command and translation Suited for specific use cases where preset models and settings are needed OpenAI Playground's Cons: Requires specific prompts and settings for better-quality outputs It can be challenging to use if you're not familiar with LLMs OpenAI Playground's Pricing: OpenAI Playground offers a comprehensive pricing structure based on the number of tokens used. 1 word = 1 token For example, Chat, model gpt-3.5-turbo costs $0.002 for 1K tokens, while InstructGPT, model Davinci costs $0.0200 for 1K tokens.
mikhail-miguel

Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World - 0 views

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    One of The Sunday Times Business Books of the Year Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world. Does that mean we are doomed? In Scary Smart, Mo Gawdat, the internationally best-selling author of Solve for Happy, draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than 30 years' experience working at the cutting-edge of technology and his former role as chief business officer of Google [X], no one is better placed than Mo Gawdat to explain how the Artificial Intelligence of the future works. By 2049, AI will be a billion times more intelligent than humans. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love and the planet itself.
mikhail-miguel

The Art of Prompt Engineering with ChatGPT: Accessible Edition (Learn AI Tools the Fun ... - 0 views

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    Accessible Edition To make 'The Art of Prompt Engineering with ChatGPT' as beautiful as possible we designed the layout and published it here as a pdf. However, this wasn't the best option for those who used a kindle to read, or for those who had accessibility needs. So this is the accessible edition, rebuilt using a reflow able format. If you bought the original and need to use the accessibility features, just email us at nathan@ChatGPTtrainings.com. Let's move beyond basic examples and 'test this prompt.' ChatGPT is an amazing AI tool that can change the way we work. Bill Gates recently said that ChatGPT is as important an invention as the internet, and it could change the world. To make the most of ChatGPT and go beyond simple uses, you need to master prompt engineering. Check out a sample chapter: www.ChatGPTtrainings.com March Update - 2 New Sections with 34 More Pages of Content For this monthly update, we added a new section on Advanced Prompt Engineering to help you take your ChatGPT skills to a higher level once you've learned the basics. This section covers the co-creation approach, where you take control, and [format] your output, where you'll learn my favorite way to get the exact results you want. We also included a new section on GPT-4, with information on how to start, debunking past hype, and looking at some new improvements. This book will keep evolving as ChatGPT grows, making sure that everything you read and learn stays up-to-date and relevant. All updates are free and automatic for Kindle copies, and if you bought a hardcopy, you can email me at Nathan@ChatGPTtrainings.com with your proof of purchase to get a PDF update. Why This Book? This book helps you learn the art of working with ChatGPT to get much better results. This skill, prompt engineering, is what sets good apart from great when using ChatGPT. Learn 4 key techniques and tools for writing better prompts Master 2 advanced prompt engineering tools to take your skills further F
mikhail-miguel

AI Studio - Create photo-real scenes for your products with AI-generated backgrounds (d... - 0 views

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    AI Studio: Create photo-real scenes for your products with AI-generated backgrounds (delete.bg). AI Studio: Sell More with beautiful designs, created by Artificial Intelligence (delete.bg).
mikhail-miguel

Prompt Perfect - 0 views

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    Prompt Perfect is a prompt design studio crafting AI solutions that are accessible to everyone. We are committed to simplifying human-to-AI interaction, creating effortless experiences for individuals and businesses.
nehasaxena

Microsoft's Copilot Pro Brings AI-Powered Office Features in Subscription-Based AI Plan - 0 views

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    Boost your Office! Copilot Pro unlocks AI writing, research, & design magic in Word, Excel & more. Subscribe & supercharge your work! #CopilotPro #MicrosoftCopilotPro #Copilot Pro subscription #MicrosoftOffice #AIInnovation
Aasemoon =)

Android Robotics Projects - Android - Mobile - 5 views

  • Android Robotics Projects
  • Setting up a development environment ready for Android robotics code Learning how to program for the AVR microcontroller Connecting servos and sensors Home-brewing your own PCB design, and choosing PCB suppliers Mounting the phone as a robot brain and teaching the robot to obey touch commands Approaching and designing different robot architectures
Aasemoon =)

levelHead - 0 views

  • levelHead is a spatial memory game by Julian Oliver. levelHead uses a hand-held solid-plastic cube as its only interface. On-screen it appears each face of the cube contains a little room, each of which are logically connected by doors. In one of these rooms is a character. By tilting the cube the player directs this character from room to room in an effort to find the exit. Some doors lead nowhere and will send the character back to the room they started in, a trick designed to challenge the player's spatial memory. Which doors belong to which rooms? There are three cubes (levels) in total, each of which are connected by a single door. Players have the goal of moving the character from room to room, cube to cube in an attempt to find the final exit door of all three cubes. If this door is found the character will appear to leave the cube, walk across the table surface and vanish.. The game then begins again.
Aasemoon =)

robots.net - Robots: Distributed Flight Array - 0 views

  • In its latest episode, the Robots Podcast interviews the lead researcher of the Distributed Flight Array and one of my colleagues at the ETH Zurich's IDSC, Raymond Oung. The Distributed Flight Array (DFA) is an aerial modular robot. Each individual module has a single, large propellor and a set of omniwheels to move around. Since a single propellor does not allow stable flight, modules move around to connect to each other. As shown in this video of the DFA, the resulting random shape then takes flight. After a few minutes of hovering the structure breaks up and modules fall back to the ground, restarting the cycle. As most projects at the IDSC, the DFA is grounded in rigorous mathematics and design principles and combines multiple goals: It serves as a real-world testbed for research in distributed estimation and control, it abstracts many of the real-world issues of the next generation of distributed multi-agent systems, and it provides an illustration for otherwise abstract concepts like distributed sensing and control to a general public. For more information on current work, future plans and real-world applications, read on or tune in!
Aasemoon =)

ASIMO Interaction Study at Ars Electronica 2010 - 0 views

  • Honda and the Ars Electronica Futurelab are collaborating on a human-robot interaction study this week in Linz, Austria (September 2nd ~ 8th).  Although they say their goal is to determine how robots ought to interact with people in the future, I think this may be just an excuse to let the public have some one-on-one fun with ASIMO.  In any case, these sorts of studies should help steer Honda’s engineers in the right direction when designing the next version of the world’s most famous humanoid robot.
Aasemoon =)

IEEE Spectrum: Japanese Snake Robot Goes Where Humans Can't - 0 views

  • Japanese robotics company HiBot has unveiled a nimble snake bot capable of moving inside air ducts and other narrow places where people can't, or don't want to, go. The ACM-R4H robot, designed for remote inspection and surveillance in confined environments, uses small wheels to move but it can slither and undulate and even raise its head like a cobra. The new robot, which is half a meter long and weighs in at 4.5 kilograms, carries a camera and LEDs on its head for image acquisition and can be fitted with other end-effectors such as mechanical grippers or thermo/infrared vision systems. Despite its seemingly complex motion capabilities, "the control of the robot is quite simple and doesn't require too much training," says robotics engineer and HiBot cofounder Michele Guarnieri.
Aasemoon =)

Scalable Object Recognition | Willow Garage - 0 views

  • Marius Muja from University of British Columbia returned to Willow Garage this summer to continue his work object recognition. In addition to working on an object detector that can scale to a large number of objects, he has also been designing a general object recognition infrastructure. One problem that many object detectors have is that they get slower as they learn new objects. Ideally we want a robot that goes into an environment and is capable of collecting data and learning new objects by itself. In doing this, however, we don't want the robot to get progressively slower as it learns new objects. Marius worked on an object detector called Binarized Gradient Grid Pyramid (BiGGPy), which uses the gradient information from an image to match it to a set of learned object templates. The templates are organized into a template pyramid. This tree structure has low resolution templates at the root and higher resolution templates at each lower level. During detection, only a fraction of this tree must be explored. This results in big speedups and allows the detector to scale to a large number of objects.
Aasemoon =)

・ARMAR-III - 1 views

  • Continuing to work on a humanoid helper robot called ARMAR, the Collaborative Research Center 588: Humanoid Robots at the University of Karlsruhe began planning ARMAR-IIIa (blue) in 2006. It has 43 degrees of freedom (torso x3, 2 arms x7, 2 hands x8, head x7) and is equipped with position, velocity, and force sensors.  The upper-body has a modular design based on the average dimensions of a person, with 14 tactile sensors per hand.  Like the previous versions, it moves on a mobile platform.  In 2008 they built a slightly upgraded version of the robot called ARMAR-IIIb (red).  Both robots use the Karlsruhe Humanoid Head, which has 2 cameras per eye (for near and far vision).  The head has a total of 7 degrees of freedom (neck x4, eyes x3), 6 microphones, and a 6D inertial sensor.
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