Intelligence artificielle

Artificial intelligence (AI) is the intelligence of machines or software, as opposed to the intelligence of human beings or animals.

Machine learning (ML) is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping machines 'discover' their 'own' algorithms, without needing to be explicitly told what to do by any human-developed algorithms.

Computer science is the study of computation, information, and automation.

Deep learning is part of a broader family of machine learning methods, which is based on artificial neural networks with representation learning.

An android is a humanoid robot or other artificial being often made from a flesh-like material.

Natural language processing (NLP) is an interdisciplinary subfield of linguistics and computer science.

Robotics is an interdisciplinary branch of electronics and communication, computer science and engineering.

A neural network can refer to a neural circuit of biological neurons (sometimes also called a biological neural network), a network of artificial neurons or nodes in the case of an artificial neural network.

Knowledge representation and reasoning (KRR, KR&R, KR2) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language.

In mathematics and computer science, an algorithm (ˈælɡərɪðəm) is a finite sequence of rigorous instructions, typically used to solve a class of specific problems or to perform a computation.

A computer is a machine that can be programmed to carry out sequences of arithmetic or logical operations (computation) automatically.

Augusta Ada King, Countess of Lovelace (née Byron; 10 December 1815 – 27 November 1852) was an English mathematician and writer, chiefly known for her work on Charles Babbage's proposed mechanical general-purpose computer, the Analytical Engine.

Apple Inc. is an American multinational technology company headquartered in Cupertino, California.

Google LLC (ˈɡuːɡəl) is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics.

Artificial neural networks (ANNs, also shortened to neural networks (NNs) or neural nets) are a branch of machine learning models that are built using principles of neuronal organization discovered by connectionism in the biological neural networks constituting animal brains.

Microsoft Corporation is an American multinational technology corporation headquartered in Redmond, Washington.

Pattern recognition is the automated recognition of patterns and regularities in data.

Should have expertise in chemistry, physics or lite and material sciences. Although a very good know ...

Deep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobi ...

Introduction aux techniques de l'Intelligence Artificielle, complémentée par des exercices de progra ...

This course provides the students with 1) a set of theoretical concepts to understand the machine le ...

Ce cours présente une vue générale des techniques d'apprentissage automatique, passant en revue les ...

Students will acquire an integrative view on biological and artificial algorithms for controlling au ...

Machine learning is a sub-field of Artificial Intelligence that allows computers to learn from data, ...

This course provides an overview and introduces modern methods for reinforcement learning (RL.) The ...

This master course enables students to sharpen their proficiency in tackling ethical and legal chall ...

This course covers advanced topics in deep learning architectures for natural language processing. ...

We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of ...

This course provides an overview of key advances in continuous optimization and statistical analysis

The course focuses on the development of real-word AI/ML products. It is intended for students who h ...

Should have expertise in chemistry, physics or lite and material sciences. Although a very good know ...

Software agents are widely used to control physical, economic and financial processes. The course pr ...

This course provides an introduction to the modeling of matter at the atomic scale, using interactiv ...

Should have expertise in chemistry, physics or lite and material sciences. Although a very good know ...

This course covers both classic concepts and recent advances in computer vision and machine learning ...

The goal of this course is to provide methods and tools for modeling distributed intelligent systems ...

The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathe ...

Lecture about knowledge representation, artificial intelligence and logical inference.

Lecture about graph neural networks, machine learning and interdisciplinary applications.

Lecture about neural networks, multilayer perceptrons and artificial neurons.

Lecture about artificial intelligence, global governance and ethical ai.

Lecture about deep learning, loss landscape and generalization.

Lecture about urban systems, digitalization and data generation.

Learn about the principles of management of urban infrastructures in the era of Smart Cities. The introduction of Smart urban technologies into legacy infrastructures has already resulted and will continue to result in numerous challenges and opportunities. This course will help you to make the best out of the introduction of these smart technologies in your cities’ legacy infrastructures.

Professor, working on solar power, condensed matter physics, photonics

Professor, working on algorithms and data structures, machine learning, artificial intelligence

Professor, working on hardware engineering, high-performance computing, computer architecture

Professor, working on robotics, machine learning, mathematical optimization

Artificial intelligence (AI) is the intelligence of machines or software, as opposed to the intelligence of human beings or animals.

An artificial general intelligence (AGI) is a hypothetical type of intelligent agent.

Generative artificial intelligence (AI) is artificial intelligence capable of generating text, images, or other media, using generative models.

Automated planning and scheduling, sometimes denoted as simply AI planning, is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.

An artificial general intelligence (AGI) is a hypothetical type of intelligent agent.

Artificial intelligence in healthcare is an overarching term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI), to mimic human cognition in the analysis, presentation, and comprehension of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease.

Artificial intelligence art is any visual artwork created through the use of artificial intelligence (AI) programs.

Artificial intelligence (AI) is the intelligence of machines or software, as opposed to the intelligence of human beings or animals.

Friendly artificial intelligence (also friendly AI or FAI) is hypothetical artificial general intelligence (AGI) that would have a positive (benign) effect on humanity or at least align with human interests or contribute to fostering the improvement of the human species.

Automated planning and scheduling, sometimes denoted as simply AI planning, is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.

Artificial intelligence (AI) is the intelligence of machines or software, as opposed to the intelligence of human beings or animals.

In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called confabulation or delusion) is a confident response by an AI that does not seem to be justified by its training data.

Frames are an artificial intelligence data structure used to divide knowledge into substructures by representing "stereotyped situations".

IBM Watson is a question-answering computer system capable of answering questions posed in natural language, developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci.

In the field of artificial intelligence (AI), AI alignment research aims to steer AI systems towards humans' intended goals, preferences, or ethical principles.

In video games, artificial intelligence (AI) is used to generate responsive, adaptive or intelligent behaviors primarily in non-player characters (NPCs) similar to human-like intelligence.

Artificial intelligence (AI) has been used in applications to alleviate certain problems throughout industry and academia.

The ethics of artificial intelligence is the branch of the ethics of technology specific to artificially intelligent systems.

The philosophy of artificial intelligence is a branch of the philosophy of mind and the philosophy of computer science that explores artificial intelligence and its implications for knowledge and understanding of intelligence, ethics, consciousness, epistemology, and free will.

Lecture about machine learning, artificial intelligence and data revolution.

Lecture about artificial intelligence, internet of things and big data.

Lecture about socially-aware artificial intelligence, last-mile mobility and deep learning models.

Existential risk from artificial general intelligence is the hypothesis that substantial progress in artificial general intelligence (AGI) could result in human extinction or another irreversible global catastrophe.

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen.

Lecture about artificial intelligence, machine learning and pattern recognition.

Lecture about artificial intelligence, ethics and autonomous robots.

Lecture about machine learning, artificial intelligence and blockchain.

Lecture about artificial intelligence, ethics and engineering.

Lecture about artificial intelligence, information processing and big data.

Lecture about finance, artificial intelligence and machine learning.

Laboratory active in machine learning, privacy-preserving ai and federated learning.

Lecture about artificial intelligence, finance and trading.

Lecture about neuroscience, artificial intelligence and deep learning.

Laboratory active in machine learning, education and data mining.

Laboratory active in chemistry, materials science and machine learning.

Weak artificial intelligence (weak AI) is artificial intelligence that implements a limited part of mind, or, as narrow AI, is focused on one narrow task.