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Janos Haits

Computer and Information Science research | Mendeley - 0 views

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    Computer Science is a branch of science that focuses on the theoretical and methodological implementation of computational based information processes and computer technologies in both hardware and software. Theoretical fields include such areas as information theory, database and information retrieval and programming language theory. Applied computer science features areas of study such as artificial intelligence, computer architecture, computer security and software engineering.
Janos Haits

UCSD CSE - Artificial Intelligence - 1 views

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    The Artificial Intelligence Group at UCSD engages in a wide range of theoretical and experimental research. Areas of particular strength include machine learning, probabilistic inference, neural computation, and cognitive modeling. Within these areas, students and faculty also pursue real-world applications to problems in computer vision, speech and audio processing, information retrieval, bioinformatics, brain-computer interfaces, and computer systems and networking. The Artificial Intelligence Group is part of a larger campus-wide effort in Computational Statistics and Machine Learning (COSMAL). Interdisciplinary collaborations are strongly supported and encouraged.
Janos Haits

mit press cisnet Home - 0 views

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    MIT Press CISnet brings together many of the MIT Press?s recent and classic titles in computer and information science in a fully searchable online library. Subscribers have access to a growing collection of MIT Press books on topics including programming, artificial intelligence, machine learning, human computer interaction, databases, digital libraries, networking, and robotics. CISnet is accessible from any computer with an Internet connection and from Web-enabled handhelds including the iPhone.
Janos Haits

CTRL-Labs - 0 views

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    "CTRL-Labs dedicates itself to answering the biggest questions in computing, neuroscience, and design so creators can dream. Our work to build a transformative brain-machine interface spans research and challenges at the intersection of computational neuroscience, statistics, machine learning, biophysics, hardware, and human-computer interaction."
Janos Haits

International Journal of Emerging Trends in Computing and Information Sciences - 0 views

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    International Journal of Emerging Trends in Computing and Information Sciences (E-ISSN 2218-6301/ ISSN 2079-8407) is an International refereed research publishing journal with a focused aim of promoting and publishing original high quality research dealing with theoretical and scientific aspects in all disciplines of Computing and Information Sciences.
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."
Janos Haits

Artificial intelligence - Psychology Wiki - 1 views

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    The modern definition of artificial intelligence (or AI) is "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions which maximizes its chances of success.[1] John McCarthy, who coined the term in 1956,[2] defines it as "the science and engineering of making intelligent machines."[3] Other names for the field have been proposed, such as computational intelligence,[4] synthetic intelligence[4][5] or computational rationality.[6] The term artificial intelligence is also used to describe a property of machines or programs: the intelligence that the system demonstrates.
Janos Haits

www.nerogame.org - 0 views

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    Neuro-Evolving Robotic Operatives, or NERO for short, is a unique computer game that lets you play with adapting intelligent agents hands-on. Evolve your own robot army by tuning their artificial brains for challenging tasks, then pit them against your friends' teams in online competitions! New feat
Janos Haits

AI-complete - Wikipedia, the free encyclopedia - 1 views

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    In the field of artificial intelligence, the most difficult problems are informally known as AI-complete or AI-hard, implying that the difficulty of these computational problems is equivalent to solving the central artificial intelligence problem-making computers as intelligent as people, or strong AI.[1] To call a problem AI-complete reflects an attitude that it would not be solved by a simple algorithm.
Janos Haits

Artificial neural network - Wikipedia, the free encyclopedia - 0 views

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    An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase.
Janos Haits

Vicarious - 1 views

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    "Vicarious is developing machine learning software based on the computational principles of the human brain. Our first technology is a visual perception system that interprets the contents of photographs and videos in a manner similar to humans. Powering this technology is a new computational paradigm we call the Recursive Cortical Network ™"
Janos Haits

MIT Center for Collective Intelligence - 0 views

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    Our basic research question is: How can people and computers be connected so that-collectively-they act more intelligently than any individuals, groups, or computers have ever done before?'
Janos Haits

TensorFlow -- an Open Source Software Library for Machine Intelligence - 1 views

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    "TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally devel"
Janos Haits

TensorFlow Quantum - 1 views

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    "TensorFlow Quantum is a library for hybrid quantum-classical machine learning. # A hybrid quantum-classical model. model = tf.keras.Sequential([     # Quantum circuit data comes in inside of tensors.     tf.keras.Input(shape=(), dtype=tf.dtypes.string),     # Parametrized Quantum Circuit (PQC) provides output     # data from the input circuits run on a quantum computer.   TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models. Research in quantum algorithms and applications can leverage Google's quantum computing frameworks, all from within TensorFlow."
Janos Haits

Quantum AI Foundation - 0 views

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    "Welcome to the website of the "Quantum AI Foundation"! We are a charity organization aiming to support education, research, development and collaboration in science and new technologies, especially Artificial Intelligence and Quantum Computing, but also other fields of Mathematics and Computer Science. The Foundation was founded on 20.11.2019 by Paweł Gora and it is registered in Poland. You can find more formal information on the website of the Polish court: https://ekrs.ms.gov."
Janos Haits

csail news | CSAIL - 0 views

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    MIT Computer Science and Artificial Intelligence Laboratory
Janos Haits

Artificial Intelligence Lab - 2 views

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    "The Artificial Intelligence (AI) program at the University of Michigan comprises a multidisciplinary group of researchers conducting   theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision   making, computational game theory, distributed systems of multiple agents, reinforcement learning, machine learning, cognitive modeling,   natural language processing, information retrieval, and robotics."
Janos Haits

Artificial Intelligence Lab - 0 views

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    The Artificial Intelligence (AI) program at the University of Michigan comprises a multidisciplinary group of researchers conducting   theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision   making, computational game theory, distributed systems of multiple agents, reinforcement learning, machine learning, cognitive modeling,   natural language processing, information retrieval, and robotics.
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