漢德百科全書 | 汉德百科全书
IT-Times
German strategy for high-tech industries
History
History
N 2000 - 2100 AD
IT-Times
IT-Times
Production Engineering/Manufacturing Technologies
Science and technology
2023年11月，德国BMBF发布《人工智能行动计划》，该计划规划了11项具体行动领域。BMBF正在推动50项以人工智能研究、技术和基础设施发展为重点的现行措施，该计划将在此基础上新增20项额外的人工智能举措，并在本届政府任期内实现投入超过16亿欧元，助力德国在国家和欧洲层面促进人工智能的发展，从而推动欧盟与已经占据人工智能主导地位的国家竞争。
Education and Research
Education and Research
*Important disciplines
History
N 2000 - 2100 AD
IT-Times
Big Data
IT-Times
Cloud Computing
Important disciplines
Science and technology
Technology concepts
Künstliche Intelligenz (KI, auch artifizielle Intelligenz, AI, A. I., englisch artificial intelligence, AI) ist ein Teilgebiet der Informatik, welches sich mit der Automatisierung intelligenten Verhaltens befasst. Der Begriff ist insofern nicht eindeutig abgrenzbar, als es bereits an einer genauen Definition von Intelligenz mangelt. Dennoch wird er in Forschung und Entwicklung verwendet.
Im Allgemeinen bezeichnet künstliche Intelligenz oder KI den Versuch, eine menschenähnliche Intelligenz nachzubilden, d. h., einen Computer zu bauen oder so zu programmieren, dass er eigenständig Probleme bearbeiten kann. Oftmals wird damit aber auch, besonders bei Computerspielen, eine nachgeahmte Intelligenz bezeichnet, womit durch meist einfache Algorithmen ein intelligentes Verhalten simuliert werden soll.
人工智能（英语：Artificial Intelligence, AI）亦称机器智能，是指由人工制造出来的系统所表现出来的智能。通常人工智能是指通过普通电脑实现的智能。该词同时也指研究这样的智能系统是否能够实现，以及如何实现的科学领域。
一般教材中的定义领域是“智能主体（intelligent agent）的研究与设计”[1]，智能主体是指一个可以观察周遭环境并作出行动以达致目标的系统。[2]约翰·麦卡锡于1955年的定义是[3]“制造智能机器的科学与工程。”[4]
人工智能的研究是高度技术性和专业的，各分支领域都是深入且各不相通的，因而涉及范围极广。[5]
人工智能的研究可以分为几个技术问题。其分支领域主要集中在解决具体问题，其中之一是，如何使用各种不同的工具完成特定的应用程序。AI的核心问题包括推理、知识、规划、学习、交流、感知、移动和操作物体的能力等。[6]强人工智能目前仍然是该领域的长远目标。[7]目前比较流行的方法包括统计方法，计算智能和传统意义的AI。目前有大量的工具应用了人工智能，其中包括搜索和数学优化、逻辑推演。而基于仿生学、认知心理学，以及基于概率论和经济学的算法等等也在逐步探索当中。
Law
Our Mission
Transform the network.
Transform our business.
Radio Access Networks (RAN) are the invisible threads that weave together the fabric of our connected world. Just like neurons connect the brain, RANs connect people and devices in the network, forming a vast web of intelligence. The RAN, which has gone through five generations of technological advancements, still has vast unexplored frontiers waiting to be unveiled.
We believe that we are just scratching the surface of its true potential. Through cutting-edge technology, we are embarking on an ambitious mission to transform what the RAN can do for our businesses with the power of Artificial Intelligence (AI).
Evolving networked sustainability
We aim to make our existing system more intelligent, efficient, and reliable, empowering us to expand the meaning of sustainability in multiple dimensions.
At AI-RAN Alliance, we are cultivating a fertile new ground of innovation out of which new businesses, new industries, and new ideas will grow.
Our Vision
Realizing and harnessing the potential of an AI-native RAN
Bringing together the technology industry leaders and academic institutions, the AI-RAN Alliance is dedicated to driving the enhancement of RAN performance and capability with AI. Moreover, we aim to optimize RAN asset utilization, and unlock new revenue streams. By pioneering AI-based innovations in RAN, we aspire to profitably propel the telecom industry towards 6G.
Andrej Plenković
António Guterres
Emmanuel Macron
France
Ile-de-France
Justin Trudeau
Kyriakos Mitsotakis
Narendra Modi
Olaf Scholz
Petr Pavel
Ulf Kristersson
Ursula von der Leyen
Companies
认知计算是指基于人工智能和信号处理的系统平台。这些平台涉及机器学习、自动推理、自然语言处理、语音识别和计算机视觉、人机交互等技术。
Cognitive computing refers to technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing. These platforms encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, among other technologies.
