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Patient enrolment has begun on Biotronik's study of its new Acticor and Rivacor range of cardiac rhythm management (CRM) devices.

"Transform your notes into your AI Tutor What if your notes could teach you? Turn your study notes into fun, interactive quizzes with Raena AI! Make studying a breeze and learning more engaging."

"Studying new material isn't always easy. It's tedious, time-consuming, and repetitive"

Deep learning #AI for pathology slides: best study published to date, shows at least equivalence for machine accura… https://t.co/qlf9TUIpRA

Science publication with as algorithm as good as clinician.

The Neuromorphics Lab studies biological intelligence and embeds the derived fundamental principles in bio-inspired computers and robots.

"Established to study and formulate best practices on AI technologies, to advance the public's understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society."

ECCAI, the European Coordinating Committee for Artificial Intelligence, was established in July 1982 as a representative body for the European Artificial Intelligence community. Its aim is to promote the study, research and application of Artificial Intelligence in Europe.

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.

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.

"Our mission is to ease the use of human languages by machines and to improve solutions that benefit from language use. We conduct advanced research in language technology and provide novel computational techniques for processing text, speech and knowledge. We strive for a deeper understanding of human language and thought, studying the true needs of the end user and the demands of the market."

"Whether we're shaping the future of sustainability, or optimizing algorithms, or even exploring epidemiological studies, Google Research strives to continuously progress science, advance society, and improve the lives of billions of people."

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]

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