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"Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models."

"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."

Artificial brains are man-made machines that are just as intelligent, creative, and self-aware as humans. No such machine has yet been built, but it is only a matter of time. This website tracks the latest scientific and technological progress.

ai-one™ - biologically inspired intelligence. We sell software development kits (SDKs) for machine learning applications. We give programmers a virtual brain so they can build artificial intelligence into any software application. Unlike other machine learning tools, our technology works in any language, works with any data and learns quickly without human intervention.

"Smile is a fast and comprehensive machine learning system."

"The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, and robotics. BAIR includes over two dozen faculty and more than a hundred graduate students pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities."

"Search 575918 machine learning experiments on 88 datasets and 271 implementations"

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.

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.

Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents"[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1956,[3] defines it as "the science and engineering of making intelligent machines."[4]

Machines Like Us is a resource for those interested in evolutionary thought, cognitive science, synthetic life, artificial intelligence, and general science that improves the human condition. Updated daily.

Artificial intelligence (AI) is a branch of computer science that deals with intelligent behavior, learning, and adaptation in machines. Research in AI is concerned with producing machines to automate tasks requiring intelligent behavior.

"AMI is a program that brings together artists and engineers to realize projects using Machine Intelligence. Works are developed together alongside artists' current practices and shown at galleries, biennials, festivals, or online. By creating a platform for this emerging form of art-making, we hope to open both our research and the public conversation to new ways of thinking about intelligent systems."

"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."

'We are part of the Machine Perception Research organization at Google which tackles the hard problems of understanding images, sounds, music and video. Our long-term technology mission is to enable machines to achieve human-level intelligence in sensory perception, often at super-human scales. '

"Webbrain is an initiative to develop an emergent AI using the infrastructure provided by the internet. The brain is a marvelous biological machine. With billions of neurons and trillions of connections, it provides the substrate from which our behaviours emerge. Our brain can help us move in multitudes of environments, set goals, solve practical and abstract problems, use languages, vision or pattern matching. Could we use computers on the Internet to create a global thinking machine with similar capabilities?"

"A worldwide machine learning lab Machine learning research should be easily accessible and reusable. OpenML is an open platform for sharing datasets, algorithms, and experiments - to learn how to learn better, together."

"Cohere For AI is a non-profit research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research."

"Machine Learning Made Simple Empower your team with automated machine learning to drive better business outcomes."