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AI Core Technologies

  • Leading research in AI, machine learning, computer vision, data mining, NLP, neural networks, optimization, deep learning and more
  • Insights from famous AI experts
  • Live webinar (recording)

Insights from our Authors and Editors

Lin Zhouchen © Springer

Prof. Zhouchen Lin

Accelerated Optimization in Machine Learning: First-Order Algorithms

Liu Zhiyuan © Springer

Prof. Zhiyuan Liu  

Representation Learning for Natural Language Processing

Yi Pan © Springer

 Prof. Yi Pan

Artificial Intelligence in Medical Images – Opportunities and Challenges

Jie Tian © Springer

Prof. Jie Tian

Artificial Intelligence Based New Era of Optical Molecular Imaging

Featured Books

Selected chapters are free to read until 15 August, 2020.  Free textbooks in Computer Science, learn more.

Evolutionary Learning: Advances in Theories and Algorithms

Selected chapter | Introduction

Monte Carlo Methods

Selected chapter | Introduction to Monte Carlo Methods

A Matrix Algebra Approach to Artificial Intelligence

Selected  chapter | Basic Matrix Computation

Accelerated Optimization for Machine Learning 

Selected  chapter | Accelerated Algorithms for Constrained Convex Optimization

Deep Reinforcement Learning

Selected  chapter | Introduction to Reinforcement Learning

Representation Learning for Natural Language Processing

Open Access |  Click to access the title

Introduction to Deep Learning

Selected  chapter | Machine Learning Basics

Applied Machine Learning

Selected  chapter | Learning to Classify

Linear Algebra and Optimization for Machine Learning

Selected  chapter | Optimization Basics: A Machine Learning View

Broad Learning Through Fusions

Selected  chapter | Broad Learning Introduction

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Selected  chapter | Towards Explainable Artificial Intelligence

Automated Machine Learning: Methods, Systems, Challenges

Selected  chapter | Hyperparameter Optimization
Selected chapters from featured proceedings

Read more featured book chapters

Live Webinar

人工智能核心技术研讨会   

  • 林宙辰，北京大学信息科学技术学院教授，IAPR/IEEE Fellow     演讲主题：机器学习中优化算法前沿简介
  • 陶建华，中国科学院自动化研究所研究员，模式识别国家重点实验室副主任    演讲主题：情感识别技术现状与挑战
  • 刘知远，清华大学计算机系副教授，中文信息学会青年工作委员会执委、副主任    演讲主题：知识指导的自然语言处理

点击观看直播回放！

Live Webinar: AI Core Technologies   

Presenters: 

  • Prof. Lin Zhouchen, Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University
  • Prof. Tao Jianhua, Institute of Automation, Chinese Academy of Sciences (CASIA), Deputy Director,  National Laboratory of Pattern Recognition (NLPR)
  • Prof. Liu Zhiyuan, Department of Computer Science and Technology at Tsinghua University

Click to watch the recording of the webinar!

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