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Traces of the past: Computer algorithm able to 'read' memories - 0 views

  • To explore how such memories are recorded, the researchers showed ten volunteers three short films and asked them to memorise what they saw. The films were very simple, sharing a number of similar features - all included a woman carrying out an everyday task in a typical urban street, and each film was the same length, seven seconds long. For example, one film showed a woman drinking coffee from a paper cup in the street before discarding the cup in a litter bin; another film showed a (different) woman posting a letter. The volunteers were then asked to recall each of the films in turn whilst inside an fMRI scanner, which records brain activity by measuring changes in blood flow within the brain. A computer algorithm then studied the patterns and had to identify which film the volunteer was recalling purely by looking at the pattern of their brain activity. The results are published in the journal Current Biology. "The algorithm was able to predict correctly which of the three films the volunteer was recalling significantly above what would be expected by chance," explains Martin Chadwick, lead author of the study. "This suggests that our memories are recorded in a regular pattern." Although a whole network of brain areas support memory, the researchers focused their study on the medial temporal lobe, an area deep within the brain believed to be most heavily involved in episodic memory. It includes the hippocampus - an area which Professor Maguire and colleagues have studied extensively in the past. They found that the key areas involved in recording the memories were the hippocampus and its immediate neighbours. However, the computer algorithm performed best when analysing activity in the hippocampus itself, suggesting that this is the most important region for recording episodic memories. In particular, three areas of the hippocampus - the rear right and the front left and front right areas - seemed to be involved consistently across all participants. The rear right area had been implicated in the earlier study, further enforcing the idea that this is where spatial information is recorded. However, it is still not clear what role the front two regions play.
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    Computer programs have been able to predict which of three short films a person is thinking about, just by looking at their brain activity. The research, conducted by scientists at the Wellcome Trust Centre for Neuroimaging at UCL (University College London), provides further insight into how our memories are recorded.
Janos Haits

GraphLab | Large-Scale Machine Learning - 0 views

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    On top of our platform we have developed new sophisticated statistical models and machine learning algorithms for a wide range of applications including product targeting, market segmentation, community detection, network security, text analysis, and computer vision. These models enable our customers extract more value from their data and better understand and respond to a rapidly evolving world.
Janos Haits

Kaggle, we're making data science a sport - 0 views

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    Kaggle is a platform for data prediction competitions that allows organizations to post their data and have it scrutinized by the world's best data scientists. In exchange for a prize, winning competitors provide the algorithms that beat all other methods of solving a data crunching problem. Most data problems can be framed as a competition.
Janos Haits

SETILive - 0 views

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    SETILive is taking the Search for Extraterrestrial Intelligence (SETI) directly to you by presenting radio frequency signals LIVE from the SETI Institute's Allen Telescope Array (ATA) while it's pointed at stars that, based on Kepler exoplanet discoveries, have the best chances of being home to an alien civilization. We'll also be putting you "in the loop" where if enough of you see a potential extraterrestrial (ET) signal in the same data, then within minutes, the ATA will be interrupted and sent back to take a second look. The data you see will be from frequencies where human-made Radio Frequency Interference (RFI) crowds them and we believe the human eye will have a better chance than SETI's computer algorithms to find ET signals there.
Janos Haits

RANDOM.ORG - True Random Number Service - 0 views

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    RANDOM.ORG offers true random numbers to anyone on the Internet. The randomness comes from atmospheric noise, which for many purposes is better than the pseudo-random number algorithms typically used in computer programs. People use RANDOM.ORG for holding drawings, lotteries and sweepstakes, to drive games and gambling sites, for scientific applications and for art and music.
Janos Haits

Ai Research - Creating a new form of life - 0 views

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    Ai Research is a leading artificial intelligence research project. At Ai, we're creating a new form of life. Our expanding web site is an essential part of the emerging global discussion about artificial intelligence. On this website, we showcase the state of the art in pattern-matching conversational machines, demonstrated by Alan, and in reinforcement learning algorithms, demonstrated by HAL. Use our forums, original papers, online labs, demos and links to explore what's happening both at Ai (the project) and in AI (the field).
Janos Haits

AI 2045 - 0 views

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    "Artificial Intelligence, AI, Machine Learning, digital assistant, AI algorithm (excluded terms: -weiwei, -las, -parrish), by Singularity Utopia."
Charles Daney

Quantum Computers Could Tackle Enormous Linear Equations / Science News - 0 views

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    A new algorithm may give quantum computers a new, practical job: quickly solving monster linear equations. Such problems are at the heart of complex processes such as image and video processing, genetic analyses and even Internet traffic control.
Janos Haits

geppetto - 0 views

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    Geppetto.org is a web-based multi-algorithm, multi-scale simulation platform engineered to support the simulation of complex biological systems and their surrounding environment. A completely modular platform. Engineered together with scientists, Geppetto lets you integrate different simulators and models. Independent modules allow the user to read different standard modeling formats and to simulate different aspects of reality. An open-source revolution. Geppetto is entirely open source and engineers, scientists and developers are welcome to contribute to its development by adding functionality to existing modules or by creating new ones!
Janos Haits

Quantum Computing Playground - 0 views

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    "Quantum Computing Playground is a browser-based WebGL Chrome Experiment. It features a GPU-accelerated quantum computer with a simple IDE interface, and its own scripting language with debugging and 3D quantum state visualization features. Quantum Computing Playground can efficiently simulate quantum registers up to 22 qubits, run Grover's and Shor's algorithms, and has a variety of quantum gates built into the scripting language itself."
Janos Haits

The Stanford NLP (Natural Language Processing) Group - 0 views

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    "The Natural Language Processing Group at Stanford University is a team of faculty, research scientists, postdocs, programmers and students who work together on algorithms that allow computers to process and understand human languages. Our work ranges from basic research in computational linguistics to key applications in human language technology, and covers areas such as sentence understanding, machine translation, probabilistic parsing and tagging, biomedical information extraction, grammar induction, word sense disambiguation, automatic question answering, and text to 3D scene generation."
Janos Haits

ROS.org | Powering the world's robots - 0 views

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    "The Robot Operating System (ROS) is a set of software libraries and tools that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it's all open source."
Janos Haits

Torch | Scientific computing for LuaJIT. - 0 views

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    "Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation."
thinkahol *

Mind-reading scan identifies simple thoughts - health - 26 May 2011 - New Scientist - 3 views

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    A new new brain imaging system that can identify a subject's simple thoughts may lead to clearer diagnoses for Alzheimer's disease or schizophrenia - as well as possibly paving the way for reading people's minds. Michael Greicius at Stanford University in California and colleagues used functional magnetic resonance imaging (fMRI) to identify patterns of brain activity associated with different mental states. He asked 14 volunteers to do one of four tasks: sing songs silently to themselves; recall the events of the day; count backwards in threes; or simply relax. Participants were given a 10-minute period during which they had to do this. For the rest of that time they were free to think about whatever they liked. The participants' brains were scanned for the entire 10 minutes, and the patterns of connectivity associated with each task were teased out by computer algorithms that compared scans from several volunteers doing the same task. This differs from previous experiments, in which the subjects were required to perform mental activities at specific times and the scans were then compared with brain activity when they were at rest. Greicius reasons his method encourages "natural" brain activity more like that which occurs in normal thought.
Janos Haits

Project Euler - 0 views

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    Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical insights to solve. Although mathematics will help you arrive at elegant and efficient methods, the use of a computer and programming skills will be required to solve most problems.
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