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mikhail-miguel

GGML - Tensor library for machine learning to enable large models and high performance ... - 0 views

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    GGML: Tensor library for machine learning to enable large models and high performance on commodity hardware (ggml.ai).
mikhail-miguel

Revalio - Machine learning powered property valuation and listing composer (revalio.com). - 0 views

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    Revalio: Machine learning powered property valuation and listing composer (revalio.com).
mikhail-miguel

StarChat - Discover and explore various machine learning applications with ease through... - 0 views

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    StarChat: Discover and explore various machine learning applications with ease through StarChat Playground (huggingface.co).
Aasemoon =)

Artificial Intelligence and Robotics: Anybots telepresence robot heading for the boardroom - 0 views

  • California-based company Anybots continues work on a telepresence robot that can take communication to a whole new level by eliminating the need for people to actually be present at board meetings or conferences. Because God knows executives work hard enough. The idea behind QA, the robot, is to interact with people, such as clients or partners, from anywhere in the world, which will save a lot of money on travel costs and different remote-communications equipment. Designed not unlike a sophisticated Skype program, QA relies on a Wi-Fi connection to allow users to interact through video, sound and diagrams projected from and onto the robot’s interface. With a sleek white exterior design, the armless 5-foot robot looks just about how you would expect a robot tailored for the boardroom to look. His rectangular-shaped face with two big eyes reminds a bit of Steven Spielberg’s E.T., so people should warm up to it fairly quickly.
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 =)

3D Point Cloud Based Object Recognition System | Willow Garage - 0 views

  • The main focus for Bastian's work was on the feature-extraction process for 3D data. One of his contributions was a novel interest keypoint extraction method that operates on range images generated from arbitrary 3D point clouds. This method explicitly considers the borders of the objects identified by transitions from foreground to background. Bastian also developed a new feature descriptor type, called NARF (Normal Aligned Radial Features), that takes the same information into account. Based on these feature matches, Bastian then worked on a process to create a set of potential object poses and added spatial verification steps to assure these observations fit the sensor data.
Aasemoon =)

ICT Results - Computers to read your body language? - 0 views

  • Can a computer read your body language? A consortium of European researchers thinks so, and has developed a range of innovative solutions from escalator safety to online marketing. The keyboard and mouse are no longer the only means of communicating with computers. Modern consumer devices will respond to the touch of a finger and even the spoken word, but can we go further still? Can a computer learn to make sense of how we walk and stand, to understand our gestures and even to read our facial expressions?The EU-funded MIAUCE project set out to do just that. "The motivation of the project is to put humans in the loop of interaction between the computer and their environment,” explains project coordinator Chaabane Djeraba, of CNRS in Lille. “We would like to have a form of ambient intelligence where computers are completely hidden,” he says. “This means a multimodal interface so people can interact with their environment. The computer sees their behaviour and then extracts information useful for the user."
Aasemoon =)

IEEE Spectrum: When Will We Become Cyborgs? - 0 views

  • I remember when, a decade ago, Kevin Warwick, a professor at the University of Reading, in the U.K., implanted a radio chip in his own arm. The feat caused quite a stir. The implant allowed him to operate doors, lights, and computers without touching anything. On a second version of the project he could even control an electric wheelchair and produce artificial sensations in his brain using the implanted chip. Warwick had become, in his own words, a cyborg. The idea of a cyborg -- a human-machine hybrid -- is common in science fiction and although the term dates back to the 1960s it still generates a lot of curiosity. I often hear people asking, When will we become cyborgs? When will humans and machines merge? Although some researchers might have specific time frames in mind, I think a better answer is: It's already happening. When we look back at the history of technology, we tend to see distinct periods -- before the PC and after the PC, before the Internet and after the Internet, and so forth -- but in reality most technological advances unfold slowly and gradually. That's particularly true with the technologies that are allowing us to modify and enhance our bodies.
Aasemoon =)

IBM Builds First Chips For Human-Inspired Robo-Brain, Does Not Appear To Be Terrified - 0 views

  • Back in 2008, IBM announced their plan to try and create a computer that more accurately imitated the computing process of the human brain. Now, with a little help from 4 research Universities and DARPA, they’ve produced prototypes of the first few chips and are on the way to building their first, full-fledged robo-brain. If you’re going to run for the hills, now would be a good time to start. The project’s goal is to drastically alter the way in which computers compute by changing their structure to mimic the human brain instead of functioning as calculators. You see, most computers are von Neumann machines, meaning that the memory and processor are separated. The practical result of this is that as you reach the limit of how fast information can be passed from the memory to the processor via the bus, you reach the limit of computing power. In the human brain, the memory and the processors are in thousands of nodes that communicate slower, but simultaneously and radially. IBM’s prototypes are chips that, in quantity, can emulate those nodes.
  • Back in 2008, IBM announced their plan to try and create a computer that more accurately imitated the computing process of the human brain. Now, with a little help from 4 research Universities and DARPA, they’ve produced prototypes of the first few chips and are on the way to building their first, full-fledged robo-brain. If you’re going to run for the hills, now would be a good time to start. The project’s goal is to drastically alter the way in which computers compute by changing their structure to mimic the human brain instead of functioning as calculators. You see, most computers are von Neumann machines, meaning that the memory and processor are separated. The practical result of this is that as you reach the limit of how fast information can be passed from the memory to the processor via the bus, you reach the limit of computing power. In the human brain, the memory and the processors are in thousands of nodes that communicate slower, but simultaneously and radially. IBM’s prototypes are chips that, in quantity, can emulate those nodes.
pawanosplabs

Healthcare AI Software Solutions Companies - 0 views

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    The large volumes of data, evolving government regulations, and value-based care emphasizing on optimum patient experience are rapidly transforming the healthcare industry. This transformation is fueled by the cutting-edge healthcare AI software solutions built by top-notch healthcare AI companies.We are simplifying healthcare for stakeholders by employing the power of emerging technologies like AI to solve today's healthcare challenges. Artificial intelligence has proven its value in healthcare automation by improving clinical workflows, seamless billing, managing claims, detecting fraud, and predicting hospital-acquired infections. Being one of the medical artificial intelligence companies, OSP leverages AI for custom healthcare software development to manage the high-volume, repetitive tasks and workflows that machines do best.
otakuhacks

10 Best Text Annotation Tools for Machine Learning Projects - 0 views

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    From search engines and sentiment analysis to virtual assistants and chatbots, there are numerous areas of research within machine learning that require text annotation tools and services. In the AI research and development industries, annotated data is gold. Large quantities of high-quality annotated data is a goldmine. There are a variety of text annotation tools and services available that can provide you with the data you need. Some of these services include entity extraction, part-of-speech tagging, sentiment analysis, and more.
wryter

The rise of AI authors: How machine learning is revolutionising blogging - 1 views

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    Regularly adding new content to your blog might help it become more visible in search results. Writing fresh content, though, can be difficult, particularly if you're a busy business owner. As a result, you might think about employing an AI content writer.
mikhail-miguel

TensorFlow - 0 views

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    An open-source machine learning framework for everyone
mikhail-miguel

Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edi... - 0 views

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    The fifth edition of this book continues to provide a balanced perspective on the language schools, theories, and applications of artificial intelligence. These diverse branches are unified through detailed discussions of AI's theoretical foundations. The book is broken down into six parts to provide readers complete coverage of AI. It begins by introducing AI concepts, moves into a discussion on the research tools needs for AI problem solving, and then demonstrates representations for AI and knowledge-sensitive problem solving. The second half of the book offers an extensive presentation of issues in machine learning, continues presenting important AI application areas, and presents Lisp and Prolog to the reader. This book is appropriate for programmers both as an introduction to and a reference of the theoretical foundations of artificial intelligence.
mikhail-miguel

Artificial Intelligence: A Guide for Thinking Humans - 0 views

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    This program includes an introduction read by the author. No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals its turbulent history and the recent surge of apparent successes, grand hopes, and emerging fears that surround AI. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements. She meets with fellow experts like Douglas Hofstadter, the cognitive scientist and Pulitzer Prize - winning author of the modern classic Gödel, Escher, Bach, who explains why he is "terrified" about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much farther it has to go. Interweaving stories about the science and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and approachable accounts of the most interesting and provocative modern work in AI, flavored with Mitchell's humor and personal observations. This frank, lively book will prove an indispensable guide to understanding today's AI, its quest for "human-level" intelligence, and its impacts on all of our futures. PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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 AI Product Manager's Handbook (+Free PDF Ed.) - 0 views

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    Master the skills required to become an AI product manager and drive the successful development and deployment of AI products to deliver value to your organization. Purchase of the print or Kindle book includes a free PDF eBook. Key Features Build products that leverage AI for the common good and commercial success Take macro data and use it to show your customers you're a source of truth Best practices and common pitfalls that impact companies while developing AI product Book Description Product managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This book covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed. The first part of the book focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products. You'll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You'll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you'll stay ahead of the curve in the rapidly evolving field of AI and ML. By the end of this book, you'll have understood how to navigate the world of AI from a product perspective. What you will learn Build AI products for the future using minimal resources Identify opportunities where AI can be leveraged to meet business needs Collaborate with cross-function
nehasaxena

What is Data Annotation Tech - A Complete Guide - 0 views

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    Want to learn more about data annotation tech? Here is a comprehensive guide to understanding how data annotation technology works in AI and machine learning. Read on! #DataAnnotation #ArtificialIntelligence #FuelAIInnovation #GetStartedWithAI #FutureofTechnology
Aasemoon =)

Artificial Intelligence and Robotics: LuminAR to shine a light on the future - 0 views

  • You might think that some devices in the modern age have reached their maximum development level, such as the common desk-lamp, but you would be wrong. Natan Linder, a student from The Massachusetts Institute of Technology (MIT) has created a robotic version that can not only light your room, but project internet pages on your desk as well. It is an upgrade on the AUR lamp from 2007, which tracks movements around a desk or table and can alter the color, focus, and strength of its light to suit the user’s needs. The LuminAR comes with those abilities, and much more. The robotic arm can move about on its own, and combines a vision system with a pico projector, wireless computer and camera. When turned on, the projector will look for a flat space around your room on which to display images. Since it can project more than one internet window, you can check your email and browse another website at the same time.
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