5th Online Computer Vision and Artificial Intelligence Workshop (OnCV&AI)
September 6th – September 10th, 2021, Tainan, Taiwan
We sincerely invite anyone in the world interested in spatial AI to participate. The workshop is held online and is free for everyone.
Sponsors
Program
Speakers
Live Stream
Recorded Talks
About
Our Sponsors
Time Zone
All times are listed in UTC+8, i.e. China Standard Time (CST) or Taipei Time, which is 8 hours ahead of Coordinated Universal Time (UTC).
Time Zone
All times are listed in UTC+8, i.e. China Standard Time (CST) or Taipei Time, which is 8 hours ahead of Coordinated Universal Time (UTC).
About the Workshop
This workshop is part of a popular series that has attracted over 1000 participants created for Ph.D. students, and other skilled engineers, to explore online computer vision and artificial intelligence techniques on the OAK-D camera. It consist of a few lectures and a hackathon, distributed over a week, followed by Special Lectures that are announced one at a time. During the hackathon everything is done online and implemented in real-time by our hackers on our OAK-D cameras as suggested by the audience. This workshop also include two lectures on publishing of scientific articles to disseminate findings.
We believe in open source & knowledge and give you the recordings of our speakers and hackathons to freely watch on YouTube and Twitch whenever you choose, as well as any additional material/code for you to download from this workshop website. Please enjoy and feel free to give us feedback through the registration form.
Certificate of Participation/Registration
Everyone that have before the end of the 5th hackathon will be offered an opportunity to earn a Certificate of Participation by doing an exam testing knowledge learnt from each workshop. If you don’t want to do the exam you can request a Certificate of Registration instead.
We will email more information about this as soon as we have prepared the exam after the workshop.
Online Networking Event
September 10th, 14:00 – 16:00
We are arranging an online networking event on September 10th 14:00 to 16:00 where you can meet fellow participants, the organising team, and a few of the speakers.
An invite will be emailed out to everyone that has for the 5th workshop one day before this event. Currently, we plan to use the wonder.me service for this event.
Program
06
September
08:00 – 09:00
Rama A. Salhi,
Clinical Lecturer at University of Michigan
Approach to writing a scientific manuscript – Preparing your work for a successful submission
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07
September
16:00 – 17:00
Pierre-Nicolas Tiffreau,
Founder & CTO of Picsellia
Model is trained. What’s next? Road to Machine Learning in production
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08
September
10:00 – 11:00
Evangelos-Marios Nikolados,
University of Edinburgh
Nikolas Adaloglou,
Heinrich-Heine-Universität Düsseldorf
Alphafold2 – the AI breakthrough in a bioinformatics perspective
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09
September
14:00 – 15:00
Torbjörn Nordling, Assistant Professor at the National Cheng Kung Universit and Senior Lecturer at Umeå University
Computer Vision Based Assessment of Motor Skills—a Step Towards Digitalisation of the Unified Parkinson’s Disease Rating Scale
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15:30 - 16:30
Anthony Newman, Senior Publisher at Elsevier
How to write great papers and get them published
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17:00 - 18:00
Sachin Sharma, Founder at Funoppia
AI & Machine Learning for young minds – using Funoppia’s FunAI IDE
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10
September
14:00 – 16:00
5th OnCV&AI Networking Event,
National Cheng Kung University
Online networking event to meet fellow participants, the organising team, and a few of the speakers. Register to attend.
16:00 – 18:00
5th OnCV&AI Hackathon,
National Cheng Kung University
Interactive live exploration of spatial AI applications on the OAK-D camera based on suggestions from the speakers and audience.
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X
September
To be announced
Gary Bradski,
Founder & President of OpenCV
OpenCV: Evolution Beyond the Library
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30
November
16:00 - 17:00
Thomas Degn,
Associate Professor in Industrial Design at Umeå University
Human-centred conceptual product design as an exploration tool to imagine and enact the future of medical devices
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Subscribe to our workshop calendar
Speakers & Hackathon
Rama A. Salhi,
Clinical Lecturer at University of Michigan
Approach to writing a scientific manuscript – Preparing your work for a successful submission
September 6th, 08:00
Bio: Rama is currently a National Clinician Scholar and a Physician/Clinical Lecturer in Emergency Medicine at the University of Michigan. She received a master’s degree in Epidemiology from Johns Hopkins University prior to completing her medical degree at Michigan State University. Most recently, she has completed a master’s degree in Health and Healthcare Research at the University of Michigan.
Her research focuses on the use of health systems science to identify and address quality gaps in health outcomes, specifically with respect to treatment of time-sensitive conditions in the prehospital and emergency department settings in the United States. She also currently leads a trainee program within the Acute Care Research Unit at the University of Michigan directed at teaching targeted research skills to researchers of all levels.
Abstract: In this introductory lecture, we will consider how one approaches a scientific manuscript. This will include how one begins to tackle the order of writing, as well as tips and tricks for improving the likelihood of acceptance in a scientific journal. The talk will include a worked example to illustrate the process.
Pierre-Nicolas Tiffreau,
Founder & CTO of Picsellia
Model is trained. What’s next? Road to Machine Learning in production
September 7th, 16:00
Bio: Pierre-Nicolas is a Computer Vision Engineer graduated from INP ENSEEIHT in Toulouse, France. There he studied various domains across signal and image processing, optimization and machine learning. He then co-founded Picsellia, a company developing end-to-end cloud solutions for AI development and his main interest today is MLOps (Machine Learning Operations) and how to help companies build and scale robust ML pipelines.
Abstract: Despite the huge rise of AI adoption in the last few years and the ambition for the years to come, it is a known fact that a majority of companies struggle to go beyond the ‘prototype’ or ‘test’ phase for their ML/DL projects.
But prototyping is only the first step of the whole AI lifecycle and knowing how to deploy and maintain models in production is critical if you want your business to benefit from those technologies.
During this talk, you are going to learn the tools and techniques needed to avoid the pitfalls when deploying models in production while handling a complete production pipeline, and how to implement them with a computer vision use-case.
Evangelos-Marios Nikolados,
University of Edinburgh
Alphafold2 – the AI breakthrough in a bioinformatics perspective
September 8th, 10:00
Bio: Evangelos is a Molecular Biologist interested in AI-enabled Synthetic Biology. He holds degrees from Harvard University, Imperial College London, and is currently a 2nd-year PhD student at the University of Edinburgh. He has worked extensively on mechanistic whole-cell models and, currently, he is focusing on Machine & Deep Learning approaches for genotype-to-phenotype tasks using high-throughput strain characterization data.
His research interests include generative neural networks for forward engineering of DNA and protein sequences, strategies for reducing data requirements in deep learning models for low-cost design of experiments pipelines, and the use of machine learning in rare diseases and orphan drugs. In his spare time, he is organising GOGEC, a global competition for genetic engineering.
Abstract: This tutorial will introduce some minimal biology background to understand AlphaFold2 models. We will briefly introduce some key concepts regarding protein structure and function, such as protein structure levels, protein domains, motifs, redisues and turns. Then we will formulate some protein-folding tasks with the perspective of machine learning. Finally, we will show some high-level key ingredients that led to the success of AlphaFold2.
Nikolas Adaloglou,
Heinrich-Heine-Universität Düsseldorf
Alphafold2 – the AI breakthrough in a bioinformatics perspective
September 8th, 10:00
Bio: Nikolas is an Electrical and Biomedical Engineer that is interested in the development of human-centered AI solutions. He is currently working as a Deep Learning PhD researcher applied to medical imaging. Previous research projects that he consciously participated include radiotherapy treatment and planning, sign language recognition systems and educational games for people with disabilities. His AI research interests include 3D medical imaging, image and video analysis, graph-based deep learning models and generative deep learning.
Abstract: This tutorial will introduce some minimal biology background to understand AlphaFold2 models. We will briefly introduce some key concepts regarding protein structure and function, such as protein structure levels, protein domains, motifs, redisues and turns. Then we will formulate some protein-folding tasks with the perspective of machine learning. Finally, we will show some high-level key ingredients that led to the success of AlphaFold2.
Torbjörn Nordling,
Assistant Professor at the National Cheng Kung University in Taiwan and Senior Lecturer at Umeå University
Computer Vision Based Assessment of Motor Skills—a Step Towards Digitalisation of the Unified Parkinson’s Disease Rating Scale
September 9th, 14:00
Bio: Dr. Torbjörn Nordling obtained both his Ph.D. in Automatic Control (2013) and his M.Sc. in Engineering Physics (2005) from KTH Royal Institute of Technology in Stockholm, Sweden. He has specialised in Mathematical Modelling, System Identification, Artificial Intelligence, and Machine Learning with applications mainly in Biology and Medicine. He has developed both new theory and methodology, most notably, for Robust Network Inference and Robust Variable Selection.
He is currently an Assistant Professor in Automatic Control at the Dept. of Mechanical Engineering at the National Cheng Kung University in Tainan, Taiwan since Sept. 2015. He is a Senior Lecturer in Media Technology at the Dept. of Applied Physics and Electronics at Umeå University in Umeå, Sweden since Jan. 2020. He is also a joint faculty of Miin Wu School of Computing, National Cheng Kung University in Tainan since its establishment June 2020. Previously he has done a PostDoc at the Dept. of Immunology, Genetics and Pathology at Uppsala University in Sweden. He has been a visiting researcher at Telethon Institute of Genetics and Medicine in Naples, Italy and ERATO Kitano Symbiotic Systems Project at Japan Science and Technology Agency in Tokyo, Japan.
He is the founder of Nordron AB—a startup specialised in data analysis, and a co-founder of Jagah Systems AB—an award-winning indoor geolocalisation startup—and ContentMap AB—an AI-powered SaaS platform for visualising, finding, and working with files and information, across multiple storage places and apps. He has been the CEO of the former for almost two years. He is an angel investor and advisor to numerous startups, including Darmiyan Inc. and Unity Chain Inc. in the U.S.A., Stakester Ltd., and Virtual Internship Partners Ltd. in U.K., and Trailze Ltd. in Israel.
Abstract: Parkinson’s disease (PD) is the 2nd most common form of neurodegenerative disease after Alzheimer’s disease. It is affecting ~1% of the population above 60 with increasing prevalence. Assessment of the motor function is needed to prescribe treatment and evaluate clinical trials. Currently the assessment is done by the physician watching and scoring movement tests in accordance with the Movement Disorder Society (MDS) sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) on a scale 0 to 4. This scoring is coarse, subjective, time consuming, and expensive.
My vision is to contribute to the next revision of UPDRS—to use computer vision and AI to automate and digitalise the assessment. As steps towards this goal, we have developed a standardised experiment protocol for collection of video data for seven UPDRS motor examinations: finger tapping, hand movement, postural and rest tremor of hands, leg agility, toe tapping, and rest tremor of foot. We have also recorded data in the clinic for 18 PD and 20 control subjects and applied classic computer vision and signal processing methods for preliminary analysis.
In this lecture, I will show the experiment setup and some preliminary results. My aim is to provide an understanding of the problem and challenges from an engineers perspective and the road map forward in terms of development of computer vision and deep learning algorithms.
Anthony Newman,
Senior Publisher at Elsevier
How to write great papers and get them published
September 9th, 15:30
Bio: Anthony Newman, who is making the presentation today, is a Senior Publisher with Elsevier, and is based in Amsterdam. Currently responsible for seventeen laboratory medicine and biochemistry journals, he joined Elsevier over 30 years ago and has been Publisher for the last 20+ years. Before then he was the marketing communications manager for the biochemistry journals of Elsevier. By training he is a polymer chemist and was active in industry before leaving London and moving to Amsterdam in 1987 to join Elsevier.
He has presented hundred of author workshops both in person and virtually in the past 15+ years to thousands of participants and has always find it a rewarding process. He still gets asked questions now and again which really he has to think hard about to answer properly.
Abstract: Knowing the best way of structuring your paper when writing it, and the most appropriate journal to send it to, really helps in getting your paper accepted. Also understanding how editors and publishers think and what they expect, and knowing how the peer review process works, is an invaluable insight into the publishing process.
After attending this workshop, one in the Elsevier Researcher Academy on Campus workshop series, participants will have a clear idea of the steps needed to be taken before starting to write a paper including selecting the most appropriate journal to submit to. They will also be able to plan writing manuscripts using the logical step sequence – not the sequence in which the paper will be read. Authors are also made aware of what aspects of their papers Editors, Reviewers, and Publishers look at critically, and to ensure that in taking care of these areas, their papers are much more likely to be accepted. Dealing with referees’ comments and the art of polite rebuttal are also described such that these can be used to improve the submitted paper suitably. Sensitive areas such as publishing ethics, plagiarism, duplicate publishing, etc. are also clearly explained such that participants have a clear understanding of what their responsibilities are, what is allowed, and what is not permitted.
These insights into the publishing process will enable each participant to be more confident as an author in the world of science publishing, and so should help them get their papers published more easily.
Sachin Sharma,
Founder at Funoppia
AI & Machine Learning for young minds – using Funoppia’s FunAI IDE
September 9th, 17:00
Bio: Sachin Sharma is an experienced Data Scientist & has been working in the field of AI & ML for the past 2 years. He started his career in the field of Machine Learning & Deep Learning under his mentor Nikhil Gupta. He is a passionate entrepreneur who loves to teach & empower students. He co-founded Funoppia (Asia’s first Visual AI platform) with a mission to democratize AI education for all.
Abstract: The field of Artificial Intelligence is continuously gaining attention and each day there is something new to learn. AI already has a significant impact on mankind. In this lecture, we will cover different concepts involved in the field of Computer Vision. Along with that we will also have a glimpse of how learning AI and Machine Learning is now as easy as joining puzzles with Asia’s first Visual AI platform. This will also include creating an AI project in a much faster way!.
Bio: Gary Bradski, PhD is a leading entrepreneur and researcher in computer vision and machine learning. He is the Founder and President of OpenCV.org—the most popular computer vision library in the world. He organized the computer vision team for Stanley, the autonomous car that won the DARPA Grand Challenge in 2005, which kicked off the autonomous driving industry.
Gary served as a visiting Professor at Stanford University Computer Science department for seven years. He helped develop one of the first Video Search startups, VideoSurf, that sold to Microsoft in 2011. He founded Industrial Perception Inc. which sold to Google in 2013 and he created the Silicon Valley office of Magic Leap. He co-founded Arraiy which sold to Matterport in 2019. He serves on the boards and advisory boards of over a dozen startups.
Abstract: OpenCV is by far the best known computer vision library. The last 20 years of OpenCV were dedicated to building the world’s largest high-performance computer vision library. Now, we are fast expanding beyond the flagship library to better serve the computer vision and artificial intelligence community through courseware, hardware, services, and community initiatives. OpenCV is becoming the place where people come to learn about the best computer vision resources.
Thomas Degn,
Associate Professor in Industrial Design at Umeå University
Human-centred conceptual product design as an exploration tool to imagine and enact the future of medical devices
November 30th, 16:00
Bio: Thomas Degn is currently the Programme Director for the Masters of Fine Arts programme of Advanced Product Design at Umeå Institute of Design. He graduated with a master’s degree in industrial design in 2000 and after eight years as a researcher and programme manager in an applied research programme sponsored by the Volvo Group, he has since 2009 lead the Masters programme of Advanced Product Design.
The programme is a practise-based industrial design education, and its students are in the international design community associated with high quality and professionalism and known for annually winning acclaimed international design awards. As an example of this, the Umeå Institute of Design has been ranked highest nine times on Red Dot’s rankling list of design schools in Americas and Europe since 2011. The far majority of these awards has been won by students from the Advanced Product Design programme..
Abstract: In this presentation we will be introduced to the creative approach of understanding and embedding user insights and experiences into the design process as a methodology to imagine, enact and conceptualize new design solutions with healthcare. Award winning student projects from the Master programme of Advanced Product Design at Umeå Institute of Design will be shown to exemplify this.
Hackathon
September 10th, 16:00 – 18:00
Interactive live exploration of spatial AI applications on the OAK-D camera based on suggestions from the speakers and audience. This is conducted by our hackers: Jose Ramon Chang, Jacob Chen, and Ric Tu, with Rain Wu handling communication with the audience.
Follow the Live Stream
Everything is streamed in English on YouTube and Twitch
Recorded Talks & Hackathon
Rama A. Salhi,
Clinical Lecturer at University of Michigan
Approach to writing a scientific manuscript – Preparing your work for a successful submission
September 6th,
08:00
Pierre-Nicolas Tiffreau,
Founder & CTO of Picsellia
Model is trained. What’s next? Road to Machine Learning in production
September 7th,
16:00
Evangelos-Marios Nikolados
University of Edinburgh
Nikolas Adaloglou,
Heinrich-Heine-Universität Düsseldorf
Alphafold2 – the AI breakthrough in a bioinformatics perspective
September 8th,
10:00
Torbjörn Nordling,
Assistant Professor at the National Cheng Kung University and Senior Lecturer at Umeå University
Computer Vision Based Assessment of Motor Skills—a Step Towards Digitalisation of the Unified Parkinson’s Disease Rating Scale
September 9th,
14:00
Anthony Newman,
Senior Publisher at Elsevier
How to write great papers and get them published
September 9th,
15:30
Sachin Sharma,
Founder at Funoppia
AI & Machine Learning for young minds – using Funoppia’s FunAI IDE
September 9th,
17:00
Gary Bradski,
Founder & President of OpenCV
OpenCV: Evolution Beyond the Library
To be announced.
Thomas Degn,
Associate Professor in Industrial Design at Umeå University
Human-centred conceptual product design as an exploration tool to imagine and enact the future of medical devices
November 30th,
16:00
Hackathon,
Interactive live exploration of spatial AI applications on the OAK-D camera based on suggestions from the speakers and audience.
This is conducted by our hackers: Jose Ramon Chang, Jacob Chen, and Ric Tu, with Rain Wu handling communication with the audience.
September 10th,
16:00
Past & Upcoming Workshops
About the Team
This workshop is arranged by the Nordling Lab located at the Dept. of Mechanical Engineering, National Cheng Kung University. It is sponsored by the National Cheng Kung University in Taiwan. We are part of the “National Cheng Kung University‘s Parkinson’s Disease Quantifiers” team lead by Ass. Prof. Torbjörn Nordling and Asc. Prof. Chi-Lun Lin selected as a finalist in the OpenCV AI competition 2021 out of more than 1400 teams globally.
The team consists of Dr. Akram Ashyani, Jose Chang, Esteban Roman, Tachyon Kuo, Gavin Vivaldy, Jacob Chen, Yushan Lin, Ric Tu, Prof. Chi-Lun Lin, and Prof. Torbjörn Nordling. We are working on quantification of motor degradation in Parkinson’s disease together with Prof. Chun-Hsiang Tan at Kaohsiung Medical University, and Dr. Chad Tsung-Lin Lee and Dr. Chung-Yao Chien at National Cheng Kung University Hospital. More precisely, on analysing the use of micro motions for assessment of motor degradation based on the Unified Parkinson’s Disease Rating Scale (UPDRS).
The National Cheng Kung University‘s Parkinson’s Disease Quantifiers team
About OAK-D
Luxonis and OpenCV AI Kit with Depth (OAK-D) has won the Best Camera and Sensor product of the year award by the Edge AI and Vision Alliance.
Luxonis is the company that has developed the OpenCV AI Kit. We received these cameras as finalists in the OpenCV AI competition 2021.
About OAK-D-LITE
The OAK-D-LITE by OpenCV and Luxonis is smaller, lighter, and less expensive. Every request came true. It is coming soon to .
Making of the Workshop
About NCKU
The is one of the two major comprehensive universities in Taiwan with app. 22 000 full-time students, attracting some of the best students in Taiwan. NCKU is number one in Academia-Industry Collaborations nationwide. Times Higher Education placed NCKU 38th in Impact Rankings 2020, 103rd in Asia University Rankings 2020. Academic Ranking of World Universities placed NCKU 301-400th internationally.
About OpenCV
is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.
The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding. The library is used extensively in companies, research groups and by governmental bodies.
Along with well-established companies like Google, Yahoo, Microsoft, Intel, IBM, Sony, Honda, Toyota that employ the library, there are many startups such as Applied Minds, VideoSurf, and Zeitera, that make extensive use of OpenCV. OpenCV’s deployed uses span the range from stitching streetview images together, detecting intrusions in surveillance video in Israel, monitoring mine equipment in China, helping robots navigate and pick up objects at Willow Garage, detection of swimming pool drowning accidents in Europe, running interactive art in Spain and New York, checking runways for debris in Turkey, inspecting labels on products in factories around the world on to rapid face detection in Japan.
It has C++, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS. OpenCV leans mostly towards real-time vision applications and takes advantage of MMX and SSE instructions when available. A full-featured CUDAand OpenCL interfaces are being actively developed right now. There are over 500 algorithms and about 10 times as many functions that compose or support those algorithms. OpenCV is written natively in C++ and has a templated interface that works seamlessly with STL containers.
About AIA
was founded in 2020, a leading purpose-driven organization for promoting commercialization of AI application, as well as advanced AI digital transformation for national and global industries.
About Crowdhelix
is an Open Innovation platform that forges links between an international network of excellent researchers and innovating companies, so that they can plan and deliver pioneering collaborative projects Crowdhelix is open to applications from any organisation, of any size, anywhere in the world, that can demonstrate a strategic commitment to collaborative research and innovation. The network’s main focus is the European Union’s Horizon Europe programme, which has a €95.5 billion budget that funds thousands of collaborative research and innovation projects worldwide. Our goal is to connect leading research institutions and innovative companies around the world, so that together they can plan and deliver pioneering Horizon Europe projects
About Luxonis
Our mission is to improve the engineering efficiency of embedding performant, spatial AI + CV into products. We do this by building and maintaining the open-source DepthAI ecosystem () which is also now the OpenCV AI Kit.
In other words, we build the core technology that allows human-like perception in real products – allowing 0-to-1 applications in nearly every industry. The technology allows solving problems that need human-like perception, but say in a 1″ cube. A good external writeup about Luxonis is on Bloomberg.
We are enabling what was science-fiction as of 2017:
- Wearable devices that perceive the world and allow the blind to perceive through soundscapes
- Embedded systems that can automatically protect endangered species
- Robots that enable organic farming with zero chemicals (by using lasers to target weeds and pests)
- Perception built into heavy machinery to real-time protect the health and safety of workers.
- Perception built into remote areas to autonomously monitor and protect the environment from leaks and other hazardous conditions.
- New forms of communication devices – bridging the gap between the in-person experience and the Zoom experience.
The above are just quick examples. There are countless solutions to fascinating problems being built off of our platform, with 15,000 devices shipped to date, in the hands of thousands of companies, some of which are working to integrate our technology into their own products.
We are a small startup with aims to have an outsized impact on the world. Still in the earliest stages, the solutions built with our technology have been covered in every top news, tech, and science publication in the world (Forbes, WSJ, Bloomberg, Washington Post, Engadget, etc.). We hold the records (independently) for the largest KickStarter raise for a computer vision project, for an AI project, and for a printed circuit board project.
Our mission is to materially improve the engineering efficiency of the world. This is what our team (and backers) previously did in another market (in business WiFi, with UniFi). And we now aim to do the same for this super-power of human-like perception in embedded systems – making it so prototyping with this power takes hours, and implementing it into a product is as fast as an enclosure can be designed and produced.
We are currently hiring:
About AI + Industry
AI + Industry Virtual Summits share new innovations and pioneering AI-based solutions to ‘business’ problems common to industry.
Want to learn how robotics and AI can help your organisation and Industry sector to thrive, at a non technical(!) ‘business’ focussed summit? Connect, learn and collaborate at AI + Industry Virtual Summits. Arranged Bi-monthly from October, following the success of our first 2 summits, for the Aviation and NLP Sectors.
Register your interest here in AI + Industry summits and we’ll keep you updated, as our summits evolve.
Forthcoming AI + Industry Virtual Summits:
The AI + Industry Virtual EdTech Summit: 13-14 Oct. 2021.
The AI + Industry Virtual AgriTech Summit: 15-16 Dec. 2021.
The AI + Industry Virtual Forensics Summit: 16-17 Feb. 2022.
The AI + Industry Virtual Energy Summit: 13-14 April 2022.
The AI + Industry Virtual Automotive Summit: 15-16 June 2022.
The AI + Industry Virtual LegalTech Summit: 14-15 Sept. 2022.
Join us. We look forward to connecting, learning and collaborating with you at an AI + Industry Virtual Summit in the near future!
About Visii
Visii’s mission is to make eCommerce product discovery intuitive and effortless through our patented and best-in-class technology.
Harnessing the power to unlock any eCommerce store’s potential, Intuitive Commerce by Visii deploys a hyper-personalised, visually led, context-driven search & recommendation AI to take the search out of online shopping. By leveraging machine learning, real-time analytics and the context of human behaviour, Intuitive Commerce works seamlessly in the background to refine customer understanding and serve users with the products they want intuitively. While Intuitive Commerce Solutions go a long way to unlocking a store’s full potential, Visii’s in-house UX, algorithmic tailoring and optimisation services are also on hand to fast-track every store’s journey to maximising that potential.
Find out more at.
About Virtual Internships
Virtual Internships is an Education Technology company that connects students around the world with companies around the world, helping to run a structured and meaningful online work experience program that benefits both parties. Interns develop career readiness skills and prepare for the future of work, and companies get access to global talent and assistance with specific projects.
The program is done remotely and interns work for 10-30 hours per week for 1-4 months. Alongside the internship placement, interns are assisted with coaching calls, an online curriculum, and structured project plans. For further information, please visit www.virtualinternships.com.
About Funoppia
Funoppia is Asia’s first Visual AI platform for learning AI, Machine Learning, and Python intuitively using both Visual & Code mode. With a mission that no learner is left behind to ensure AI for all, Funoppia empowers students and teachers to intuitively learn and solve real problems in an open and free mode. Funoppia’s Visual AI platform helps students from as young as 8th grade in school to 2nd-year in college. They develop cognitive and computational skills and empower themselves with AI and Machine Learning skills.
Funoppia has been recognized globally by HundrED.org by the World Bank as one of the most innovative and disruptive edtech platforms in the world. Funoppia has been the education partner of IIT Bombay-Eureka Jr and IEEE YESIST. Since our launch, we have trained 6500+ students.
Register Now!
We sincerely invite anyone in the world interested in spatial AI to participate. The workshop is held online and is free for everyone.
Organizer: The Nordling Lab @ National Cheng Kung University in Taiwan
Honorary Chair: Chair Prof. Cheng-Wen Wu
General Chair: Ass. Prof. Torbjörn Nordling
Technical Chair: Asc. Prof. Chi-Lun Lin
Assisting Chair: Akram Ashyani
Speaker Coordinators: Esteban Roman, Ray Chen
Lead Hacker: Jose Ramon Chang
Assisting Hackers: Jacob Chen, Ric Tu
Chat Host: Rain Wu
Streamer: Austin Su
Camera Operators: Ric Tu, YuShan Lin
Photographer: Gavin Vivaldy
Designer: Victor Osorio
Administrators: Winnie Tu, Anna Chu