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mikhail-miguel

WolframAlpha - Compute expert-level answers in Math, Science, Society, Culture & Everyd... - 0 views

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    Wolfram|Alpha brings expert-level knowledge and capabilities to the broadest possible range of people-spanning all professions and education levels. WolframAlpha: Compute expert-level answers in Math, Science, Society, Culture & Everyday Life (wolframalpha.com).
mikhail-miguel

WolframAlpha - Compute expert-level answers in Math, Science, Society, Culture & Everyd... - 0 views

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    WolframAlpha: Compute expert-level answers in Math, Science, Society, Culture & Everyday Life (wolframalpha.com).
Aasemoon =)

Autonomous Satellite Chasers Can Use Robotic Vision to Capture Orbiting Satellites | Po... - 0 views

  • UC3M's ASIROV Robotic Satellite Chaser Prototype ASIROV, the Acoplamiento y Agarre de Satélites mediante Sistemas Robóticos basado en Visión (Docking and Capture of Satellites through computer vision) would use computer vision tech to autonomously chase down satellites in orbit for repair or removal. Image courtesy of Universidad Carlos III de Madrid Spanish robotics engineers have devised a new weapon in the battle against zombie-sats and space junk: an automated robotics system that employs computer vision technology and algorithmic wizardry to allow unmanned space vehicles to autonomously chase down, capture, and even repair satellites in orbit. Scientists at the Universidad Carlos III de Madrid (UC3M) created the system to allow for the removal of rogue satellites from low earth orbit or the maintenance of satellites that are nearing the ends of their lives, prolonging their service (and extending the value of large investments in satellite tech). Through a complex set of algorithms, space vehicles known as “chasers” could be placed into orbit with the mission of policing LEO, chasing down satellites that are damaged or have gone “zombie” and dealing with them appropriately.
thinkwik

Intelligent Apps? What is that really and how it is a Future Technology - Thinkwik Blogs - 0 views

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    This is an era of artificial intelligence and machine learning, so why should not the apps use the latest technology and high-class products! With this thought, the conception of intelligent apps took place. But before going further, it is quite necessary for everyone to know that what is artificial intelligence? In simple words, artificial intelligence is one such branch of computer science that creates advanced machine learning systems, which can act, work and behave like humans.
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    Here is some facts , figure and explanation on why Ai is future technology,
Aasemoon =)

Graspy PR2 robot learns to read | Computer Vision Central - 0 views

  • Researchers at the University of Pennsylvania are developing algorithms to enable robots to learn to read like a human toddler. Using a Willow Garage PR2 robot (nicknamed Graspy), the researchers demonstrate the ability for a robot to learn to read anything from simple signs to full-length warnings. Graspy recognizes the shapes of letters and associates them with sounds. Part of the computer vision challenge is reading hundreds of different fonts. More information is available in a Psyorg article and from the ROS website.
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.
Aasemoon =)

STOMP Motion Planner | Willow Garage - 0 views

  • Robot motion planning has traditionally been used to avoid collisions when moving a robot arm. Avoiding collisions is important, but many other desirable criteria are often ignored. For example, motions that minimize energy will let the robot extend its battery life. Smoother trajectories may cause less wear on motors and can be more aesthetically appealing. There may be even more useful criteria, like keeping a glass of water upright when moving it around. This summer, Mrinal Kalakrishnan from the Computational Learning and Motor Control Lab at USC worked on a new motion planner called STOMP, which stands for "Stochastic Trajectory Optimization for Motion Planning". This planner can plan paths for high-dimensional robotic systems that are collision-free, smooth, and can simultaneously satisfy task constraints, minimize energy consumption, or optimize other arbitrary criteria. STOMP is derived from gradient-free optimization and path integral reinforcement learning techniques (Policy Improvement with Path Integrals, Theodorou et al, 2010).
Aasemoon =)

Automaton, Know Thyself: Robots Become Self-Aware: Scientific American - 0 views

  • Robots might one day trace the origin of their consciousness to recent experiments aimed at instilling them with the ability to reflect on their own thinking. Although granting machines self-awareness might seem more like the stuff of science fiction than science, there are solid practical reasons for doing so, explains roboticist Hod Lipson at Cornell University's Computational Synthesis Laboratory.
otakuhacks

Transformers in NLP: Creating a Translator Model from Scratch | Lionbridge AI - 0 views

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    Transformers have now become the defacto standard for NLP tasks. Originally developed for sequence transduction processes such as speech recognition, translation, and text to speech, transformers work by using convolutional neural networks together with attention models, making them much more efficient than previous architectures. And although transformers were developed for NLP, they've also been implemented in the fields of computer vision and music generation. However, for all their wide and varied uses, transformers are still very difficult to understand, which is why I wrote a detailed post describing how they work on a basic level. It covers the encoder and decoder architecture, and the whole dataflow through the different pieces of the neural network. In this post, we'll get deeper into looking at transformers by implementing our own English to German language translator.
Aasemoon =)

robots.net - Physics-based Planning - 0 views

  • Later this month, Carnegie Mellon's CMDragons small-size robotic soccer team will be competing again at RoboCup, to be held in Singapore. CMDragons has tended to find their edge in their software as opposed to their hardware. Their latest software advantage will be their new "physics-based planning", using physics to decide how to move and turn with the ball in order to maintain control. Previous control strategies simply planned where the robot should move to and shoot from, assuming a ball placed at the front center of the dribbler bar would stay there. The goal of Robocup is to create a humanoid robotic soccer team to compete against human players in 2050. Manuela Veloso, the professor who leads the Carnegie Mellon robotic soccer lab, "believe[s] that the physics-based planning algorithm is a particularly noteworthy accomplishment" that will take the effort one step closer to the collective goal.
Aasemoon =)

HRP-4C Dances Thanks to AIST's Choreonoid Software - 0 views

  • Japan’s National Institute of Advanced Industrial Science and Technology (AIST) has detailed the software used to make their robot dance (see some nice photos over at Pink Tentacle) in a recent press release.  The software, dubbed Choreonoid (Choreography and Humanoid), is similar to conventional computer animation software.  Users create key poses and the software automatically interpolates the motion between them.  What makes the software unique is that it also corrects the poses if they are mechanically unstable, such as modifying the position of the feet and waist, allowing anyone to create motions compatible with the ZMP balancing method.  This is especially important for robots like the HRP-4C, where complicated motions could easily cause it to fall over.
Aasemoon =)

Odex I Hexapod Robot From 1984 | BotJunkie - 0 views

  • Commenter Cynox was browsing through the 137 years of Popular Science magazine which are now available online, and he noticed this robot in the September 1984 issue. Called Odex I, it was developed by a (now apparently defunct) company called Odetics. Odex was six and a half feet tall, had six legs, and was fully capable of walking. Although it only weighed 370 pounds, each of its legs could lift 400 pounds. It could dead lift some 2100 pounds, and carry 900 pounds while walking at normal speed (which was about 18 inches per second). Odex used a tripod gait, and the fishbowl thing on top contained sensors that helped it avoid obstacles. It was one of the first robots with an onboard computer that helped coordinate all of its limbs. Since the limbs could articulate themselves in several directions independently, Odex was able to rapidly change its limb configuration to squeeze through tight spaces, move quickly, or lift stuff. It was able to climb into the back of a truck through a combination of automated step behaviors and teleoperation, which was pretty damn good for 1984.
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.
otakuhacks

Data annotation - 0 views

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data-science data annotations annotation machine-learning

started by otakuhacks on 10 Nov 20 no follow-up yet
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