2021 Conference Announcement - (2020) Volume 9, Issue 4
Machine Learning 2020 Organizing Committee is dedicated to gather you all for the International Conference on Computer Science and Machine Learning slated to be held from November 02-03, 2020 at Tokyo, Japan.
The conference will revolve around the theme by making the world a new place with technology.
Machine Learning 2020 gives a main global gathering that unites analysts and experts from diverse fields to investigate the basic roles, interaction also the practical impact of Artificial Intelligence (AI).
Computer Graphics & Animation 2020 is distinguished with the attendance of Organizing Committee Members and Editorial Board Members of supporting Journals, Scientists, young and brilliant researchers, business delegates and talented research student communities representing from developed and under developing countries, who made this conference rewarding and fecund. Conference the theme is “Innovate the immersive environments with Computer Graphics and Animation” offering a unique opportunity for investigators across the globe to meet, network, and perceive new scientific innovations.
The conference was initiated with the Honourable presence of the Keynote forum and Speakers forum with poster presentation.
Computer Graphics & Animation 2020 anticipates participants across the globe with thought-provoking Keynote talks, Oral, Young Researcher Forum and ePoster presentations with Exhibition. The attending delegates include business, start-ups and research industries.
It will offer a unique opportunity for investigators from all over the world to meet, network, and perceive new scientific interactions around the theme: “Innovate the immersive environments with Computer Graphics and Machine Learning”.
Supporting associations are Springer - Encyclopedia of Computer Graphics and Games (ECGG), Institute for Education, Research, and Scholarships (IFERS) and International Game Developers Association (IGDA).
This conference is going to cover the entire field related to Computer Graphics, Computer Animation, Animation Industry, Modeling, Simulation, GPU Technology, Game Design & Development, Gamification and Social Game Mechanics, Artificial Intelligence in Computer Graphics, Computer Graphics Applications, Computer Vision & Pattern Recognition, Virtual, Augmented and Mixed Reality, Imaging and Image Processing, Rendering, Visualization & 3D Printing, Human-Computer Interaction, 3D Web Technology and CGI Companies applications.
The objective of the gathering is to be a premier venue for analysts and industry specialists to share new thoughts, explore results and advancement encounters in different fields. Machine Learning is undoubtedly one of the most relevant fields in Computer Science and beyond. Although we are all increasingly learning about how Machine Learning – subfield of AI – is changing our day to day.
Machine learning now powers a huge range of applications, from speech recognition systems to search engines, self-driving cars, and prison-sentencing systems. This shift presents new challenges to computer science practitioners and educators. Machine Learning 2020 conference brings together experts, Machine learning scientists, engineers, analysts, Software developers, Technical leads, Researchers, System Architects, CEOS, CTOS, CIO, Head machine learning Scientists to interact and exchange ideas about the state of the art technologies related to Machine learning, Robotics & Internet-related things.
This conference will also provide an insightful understanding to the issues arising out of the Machine Learning, Automation, Robotics, Mechatronic and remedies from that. It provides an Opportunity to interact with eminent Scientists, researchers, Business Leaders, experts from all over the world. The little effort put by the Machine Learning 2020 will help us in taking a big step in the field of Artificial Intelligence Robotics, mechatronics & Internet of Things.
Machine learning, a subset of AI, is progressively integrating into our everyday and changing how we live and make decisions. A machine learning approach in which algorithms process signals via interconnected nodes called artificial neurons. Discovering differences between populations of cells is very amenable to machine learning techniques. Machine learning's ability to consider large amounts of data and offer insights can lead to deeper knowledge about diseases. AI technologies such as machine learning, natural language processing, and pattern recognition will often work hand-inhand with data analytics, IoT, and other technologies. Deep Learning is a branch of Machine Learning based on learning data representations instead of task-specific algorithms. As such, a machine implementing Deep Learning works similarly to a human neuron. Conferences are a good avenue to create awareness amongst newcomers, connect cross-domain experts and other players in the industry.